Join our Artificial Intelligence team as a Software Engineer and help us revolutionize marketing with ML-powered solutions! You'll work on cutting-edge technologies, impacting millions of users, and contributing to a product that truly makes a difference. The salary range starts at 3500€ per month,along with restricted stock unites and other benefits. Working in one of our Central European offices or from home on a full-time basis, you'll become a core part of the Engineering Team.

What challenge awaits you?

You'll face the exciting challenge of building and maintaining ML-powered features in a production environment, ensuring they are reliable, scalable, and deliver real value to our users. You'll work alongside a team to overcome the unique challenges of building and running ML models in a SaaS environment, including managing data complexity, optimizing for performance, and ensuring model robustness.

You will cooperate with your teammates, Data Science engineers, and Engineering and Product leaders to speed up ML-powered features' delivery (from ideation to production) by applying principles of continuous discovery, integration, testing, and other techniques from Agile, DevOps, and MLOps mindsets. This will involve building efficient workflows, automating processes, and fostering a culture of collaboration and innovation.

Your job will be to:

1. Design & Deliver new features
2. Ensure quality and performance of developed solution
3. Support and Maintain owned components

a. Design & Deliver new features

• Translate business requirements for ML-powered features into technical specifications and design documents.
• Collaborate with data scientists to ensure new ML features' technical feasibility and scalability.
• Define and develop back-office API endpoints (to configure the features) as well the high-performance serving endpoints.
• Develop and implement ML models, algorithms, and data pipelines to support new features.
• Deploy and monitor new features in production, ensuring seamless integration with existing systems.

b. Ensure quality and performance of developed solution

• Perform rigorous testing and quality assurance of ML models and code, including unit tests, integration tests, and A/B testing.
• Implement monitoring systems and dashboards to track the performance of ML models in production, identify potential issues, and optimize for accuracy and efficiency.
• Contribute to developing and implementing DevOps and MLOps best practices within the team.

c. Support and Maintain owned components

• Maintain end-to-end features, encompassing back-office APIs, models, definitions, and high-performance serving APIs.
• Provide ongoing support and maintenance for existing ML-powered features, including troubleshooting issues, fixing bugs, and implementing enhancements.
• Support our client-facing colleagues in the investigation of possible issues (L3 support).
• Document code, design decisions, and operational procedures to facilitate ongoing maintenance and knowledge sharing.

What technologies and tools does the AI team work with?

• Programming languages - Python 
• Google Cloud Platform services - GKE, BigQuery, BigTable, GCS, Dataproc, VertexAI 
• Data Storage and Processing - MongoDB, Redis, Spark, TensorFlow 
• Software and Tools - Grafana, Sentry, Gitlab, Jira, Productboard, PagerDuty 

The owned area encompasses various domains such as Recommendations, Predictions, Contextual bandits, MLOps. Therefore, having experience in these areas would be beneficial. The team also works with large amounts of data and utilizes platforms and algorithms for model training and data processing & ML pipelines. Experience in these areas is highly valued.

Your success story will be:

• In 30 Days: Successfully onboard and contribute to ongoing tasks, demonstrating understanding of the codebase and team processes.
• In 90 Days: Contribute to design discussions and independently deliver high-quality code for assigned features. Participate in investigating and resolving production issues.
• In 180 Days: Independently manage larger tasks, contribute to team improvements, and confidently handle L3 support, investigating and resolving production issues.

You have the following experience and qualities:

1. Professional— Proven experience in python engineering, system design, and maintenance in the area of AI/ML-powered features.
2. Personal — Demonstrates strong initiative, ability to work within a team, communication skills, and a commitment to continuous learning and improvement.

Professional experience

• Proven experience in Python engineering, with a strong focus on designing and maintaining AI/ML-powered features in production environments.
• Experience with cloud platforms (e.g., GCP, AWS) and relevant services for ML development and deployment.
• Solid understanding of software architecture principles, particularly in the context of building and maintaining scalable and reliable APIs and microservices.
• Experience with version control systems (e.g., Git) and CI/CD pipelines for efficient development and deployment.
• Familiarity with common ML frameworks, libraries, and tools (e.g., TensorFlow, PyTorch, Scikit-learn, etc.) and with ML pipelines/orchestration frameworks (Kubeflow, Airflow, Prefect,... )

Personal qualities

• Demonstrates strong initiative and a proactive approach to problem-solving.
• Excellent communication and collaboration skills, with the ability to work effectively within a team.
• A genuine passion for learning new technologies and keeping up-to-date with the latest advancements in AI/ML.
• A commitment to delivering high-quality work and a dedication to continuous improvement.

Excited? Join us and transform the future of commerce experiences.

Who Are You

We seek a highly skilled and experienced Cloud Platform Architect to join our dynamic and growing Cloud Platform team. As a Cloud Platform Architect, you will play a crucial role in strengthening and expanding the core of our cloud infrastructure. We want you to lead the way in scaling our cloud infrastructure for our customers, engineers, and data science teams. You will work alongside talented cloud platform and software engineers and architects to envision how all cloud infrastructure will evolve to support the expansion of Signifyd’s core products. The ideal candidate must: 

• Effectively communicate complex problems by tailoring the message to the audience and presenting it clearly and concisely. 
• Balance multiple perspectives, disagree, and commit when necessary to move key company decisions and critical priorities forward.
• Understand the inner workings of Cloud Service Providers (CSPs) such as AWS, GCP, and Azure. Able to understand networking and security concepts core and most relevant within the space.
• Ability to work independently in a dynamic environment and proactively approach problem-solving.
• Be committed to achieving positive business outcomes via automation and enablement efforts, reducing costs, and improving operational excellence.
• Be an example for fellow engineers by showcasing customer empathy, creativity, curiosity, and tenacity.
• Have strong analytical and problem-solving skills, with the ability to innovate and adapt to fast-paced environments.
• Design and build clear, understandable, simple, clean, and scalable solutions.
• Champion an Agile and ‘DevOps’ mindset across the organization.

What You'll Do

• Modernize Signifyd’s Cloud Platform to scale for security, cost, operational excellence, reliability, and performance, working closely with Engineering and Data Science teams across Signifyd’s R&D group.
• Create and deliver a technology roadmap focused on advancing our cloud performance capabilities, supporting our real-time fraud protection and prevention via our core products.
• Work alongside Architects, Software Engineers, ML Engineers, and Data Scientists to develop innovative big data processing solutions for scaling our core product for eCommerce fraud prevention.
• Take full ownership of our Cloud Platform evolution to support low-latency, high-quality, high-scale decisioning for Signifyd’s flagship product.

• Architect, deploy, and optimize Cloud Solutions to evolve our technology stack, including Multi-Account strategy, best practices around data access, IAM and security rules, and the best approaches for optimized and secure access to our infrastructure.
• Implement Engineering Enablement automation and best-of-breed solutions for Developer Tooling to support Elite DORA metrics measurements and optimal Engineering Experience.
• Mentor and coach fellow engineers on the team, fostering an environment of growth and continuous improvement.
• Identify and address gaps in team capabilities and processes to enhance team efficiency and success.

What You'll Need

• Ideally has 10-15+ years in cloud infrastructure engineering and automation, including at least five years of experience as a cloud engineering architect or lead. Have successfully navigated the challenges of working with large-scale cloud environments encompassing millions of dollars of computing costs and many petabytes of data storage and process.
• Deep understanding of best practices and current trends in cloud providers, are comfortable working with multi-terabyte datasets, and skilled in high-scale data ingestion, transformation, and distributed processing; experience in understanding Apache Spark or Databricks is a plus.
• Deep understanding of Container-based systems such as Kubernetes (k8s), Docker, ECS, EKS, GKE, and others.
• Deep understanding of Networking concepts such as DNS / Route53, ELB/ALB, Networking load balancing, IAM rules, VPC peering and data connectivity, NAT gateways, Network bridge technology such as Megaport, and others.
• Experience converting existing Cloud infrastructure to serverless architecture patterns (AWS Lambda, Kinesis, Aurora, etc.), deploying via Terraform, Pulumi, or AWS Cloud Formation / CDK.
• Hands-on expertise in data technologies with proficiency in technologies such as Spark, Airflow, Databricks, AWS services (SQS, Kinesis, etc.), and Kafka. Understand the trade-offs of various architectural approaches and recommend solutions suited to our needs.
• Executed the planning of product and infrastructure software releases
• Experience in developing, deploying, and managing CI/CD developer tooling like AWS Code Commit, Code Build, Code Deploy, Code Pipeline, JetBrains TeamCity, and GitHub Enterprise.
• Understanding how to appropriately deploy, integrate, and maintain Developer build and scanning tools such as Develocity Gradle Enterprise, Sonarqube, Maven, Snyk, CyCode, and others.
• Deep knowledge of best practices around Logging, Monitoring, and Observability tools such as AWS Cloudwatch, Datadog, Loggly, and others.
• Demonstrable ability to lead and mentor engineers, fostering their growth and development. 
• You have successfully partnered with Product and Engineering teams to lead through strategic initiatives.
• Commitment to quality: you take pride in delivering work that excels in accuracy, performance, and reliability, setting a high standard for the team and the organization.

#LI-Remote

Benefits in our US offices:

• Discretionary Time Off Policy (Unlimited!)
• 401K Match
• Stock Options
• Annual Performance Bonus or Commissions
• Paid Parental Leave (12 weeks)
• On-Demand Therapy for all employees & their dependents
• Dedicated learning budget through Learnerbly
• Health Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Account (FSA)
• Short Term and Long Term Disability Insurance
• Life Insurance
• Company Social Events
• Signifyd Swag

We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

ABOUT KHAN ACADEMY

Khan Academy is a nonprofit with the mission to deliver a free, world-class education to anyone, anywhere. Our proven learning platform offers free, high-quality supplemental learning content and practice that cover Pre-K - 12th grade and early college core academic subjects, focusing on math and science. We have over 155 million registered learners globally and are committed to improving learning outcomes for students worldwide, focusing on learners in historically under-resourced communities.

OUR COMMUNITY 

Our students, teachers, and parents come from all walks of life, and so do we. Our team includes people from academia, traditional/non-traditional education, big tech companies, and tiny startups. We hire great people from diverse backgrounds and experiences because it makes our company stronger. We value diversity, equity, inclusion, and belonging as necessary to achieve our mission and impact the communities we serve. We know that transforming education starts in-house with learning about ourselves and our colleagues. We strive to be world-class in investing in our people and commit to developing you as a professional.

THE ROLE

We have some of the richest educational data in the world, and we want to leverage that data to develop a clearer picture of who our users are, how they are using the site, and how we could better serve them on their educational journey. Your work will enable answering critical and meaningful questions like "how do students learn most effectively?" and "how can we improve our content and product?"

The ideal candidate will have a strong background in software development and DevOps, with a focus on data engineering. You will be responsible for designing, developing, and maintaining scalable systems and applications. 

What you’ll work on:

• Design and manage data pipelines and workflows using SQL, BigQuery, Airflow, and DBT.
• Develop and maintain data visualization and analytical tools using Streamlit.
• Design, develop, and maintain data infrastructure software using Python and Go (familiarity with  GraphQL a plus)
• Implement and manage DevOps processes for Data Engineering tools
• Use Docker and Kubernetes to build and deploy containerized applications.
• Utilize Terraform for infrastructure as code to manage and provision cloud resources.

You can read about our latest work on our Engineering Blog. A few highlights:

• Incremental Rewrites with GraphQL
• Our Transition to React Native
• Go + Services = One Goliath Project
• How Engineering Principles Can Help You Scale
• How to upgrade hundreds of React components without breaking production

WHAT YOU BRING

• 4+ years experience in a software engineer role with a focus on tool design, creation, and maintenance for infrastructure or data engineering
• Strong collaborative development experience including PR reviews and documentation writing
• Proficient in SQL
• Proficiency in writing and maintaining data pipelines and data quality monitors in a workflow management tool for productionized solutions, with source control and code review.
• Proficiency in computer science and software engineering fundamentals, including the ability to program in Python and/or Go.
• Proficient in Docker and Kubernetes.
• Experience with Terraform.
• Experience with BigQuery and data pipeline tools such as Airflow, & DBT would be a big plus as would familiarity with Streamlit for data visualization.

Note: We welcome candidates with experience in any and all technologies. We don’t require experience in any particular language or tool. Our commitment to on-boarding and mentorship means you won’t be left in the dark as you learn new technologies.

PERKS AND BENEFITS

We may be a non-profit, but we reward our talented team extremely well! We offer:

• Competitive salaries
• Ample paid time off as needed – Your well-being is a priority.
• Remote-first culture - that caters to your time zone, with open flexibility as needed, at times
• Generous parental leave
• An exceptional team that trusts you and gives you the freedom to do your best
• The chance to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education
• Opportunities to connect through affinity, ally, and social groups
• And we offer all those other typical benefits as well: 401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life

At Khan Academy we are committed to fair and equitable compensation practices, the well-being of our employees, and our Khan community. This belief is why we have built out a robust Total Rewards package that includes competitive base salaries, and extensive benefits and perks to support physical, mental, and financial well-being.

The target salary range for this position(LEC IC 1.5) is $165,500 - $201,250 USD / 206,875 - 251,562 CAD. The pay range for this position is a general guideline only. The salary offered will depend on internal pay equity and the candidate’s relevant skills, experience, qualifications, and job market data. Exceptional performers in this role who make an outsized contribution can make well in excess of this range.  Additional incentives are provided as part of the complete total rewards package in addition to comprehensive medical and other benefits.

MORE ABOUT US

• Sal’s TED talk from 2011
• Sal’s TED talk from 2015
• Sal's TED talk from 2023
• Our team:  http://www.khanacademy.org/about/the-team

OUR COMPANY VALUES

Live & breathe learners

We deeply understand and empathize with our users. We leverage user insights, research, and experience to build content, products, services, and experiences that our users trust and love. Our success is defined by the success of our learners and educators.

Take a stand

As a company, we have conviction in our aspirational point of view of how education will evolve. The work we do is in service to moving towards that point of view. However, we also listen, learn and flex in the face of new data, and commit to evolving this point of view as the industry and our users evolve.

Embrace diverse perspectives

We are a diverse community. We seek out and embrace a diversity of voices, perspectives and life experiences leading to stronger, more inclusive teams and better outcomes. As individuals, we are committed to bringing up tough topics and leaning into different points of view with curiosity. We actively listen, learn and collaborate to gain a shared understanding. When a decision is made, we commit to moving forward as a united team.

Work responsibly and sustainably

We understand that achieving our audacious mission is a marathon, so we set realistic timelines and we focus on delivery that also links to the bigger picture. As a non-profit, we are supported by the generosity of donors as well as strategic partners, and understand our responsibility to our finite resources. We spend every dollar as though it were our own. We are responsible for the impact we have on the world and to each other. We ensure our team and company stay healthy and financially sustainable.

Bring out the joy

We are committed to making learning a joyful process. This informs what we build for our users and the culture we co-create with our teammates, partners and donors.

Cultivate learning mindset

We believe in the power of growth for learners and for ourselves. We constantly learn and teach to improve our offerings, ourselves, and our organization. We learn from our mistakes and aren’t afraid to fail. We don't let past failures or successes stop us from taking future bold action and achieving our goals.

Deliver wow

We insist on high standards and deliver delightful, effective end-to-end experiences that our users can rely on. We choose to focus on fewer things — each of which aligns to our ambitious vision — so we can deliver high-quality experiences that accelerate positive measurable learning with our strategic partners.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, gender, gender identity or expression, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status. We value diversity, equity, and inclusion, and we encourage candidates from historically underrepresented groups to apply.

Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship.

We do. We can’t cram it all in here, but you’ll start noticing it from the first interview.

Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters.

This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move.

Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture.

If that sounds exciting—and the job description below feels like a fit—we really should start talking. 

As a Staff engineer here at BetterUp you will have the opportunity to leverage your expertise, passion, and drive to make the world better by crafting iconic, groundbreaking solutions via your deep ability to architect and deliver robust, scalable, foundational systems. You will help lead our technical strategy, mentor engineers, and drive innovation at the intersection of platform technology, data, and AI. 

You will collaborate across functions to drive our mission to transform lives worldwide. You’ll also help us chart a course to elevate our platform, ensuring it is robust, flexible, and composable - you will help us create the bedrock necessary to unlock new possibilities for users across the globe. Your core mission will be to lead the way in building our infrastructure for innovation. You will lead by example, driving significant advancements while growing personally and professionally. Using tried and true technologies like Ruby on Rails running in AWS paired with the latest in data and GenAI technologies your team and platforms will be pivotal in positively impacting millions of people via our Human Transformation Platform. 

Your leadership will extend to mentoring engineers and spearheading cross-functional collaborations that nurture a culture of innovation and continuous learning. You'll tackle exciting projects and complex problems, pushing the boundaries of technology to support personal and professional growth. 

Your career at BetterUp will accelerate by delivering innovative projects, extensive leadership opportunities, and the profound impact of your work on global well-being. You'll have the freedom to innovate and the opportunity to grow, all while contributing significantly to our mission and having fun along the way. 

This role won’t be easy, our course is steep, and the road ahead will be tough, so we are looking for someone who is comfortable in the rapidly changing world of hyper growth startups, who has the experience and wisdom to help us mature into a high growth, iconic world impacting organization. 

At BetterUp we delight in supporting and pushing each other to bring out the best in our colleagues, and would love someone to join the team who shares our passion for customer empathy, engineering excellence, and continuous improvement. We also deeply understand that a key to peak performance is balance, and our culture is focused on providing the support our people need to be able to bring their whole selves to bear in service of our mission. We recognize that transforming lives starts with your own, and our organization is at the forefront of human transformation, and we aim to start with our team first, so we also give you and a friend a coach to help you grow and thrive. We have all the usual benefits (see details below), plus we also close the company for two full weeks a year to rest and recharge, and we have a thriving remote first culture. 

What you'll do:

• Spearhead delivery of scalable, robust systems for BetterUp's platform, ensuring they are flexible and adaptable for future growth.
• Align technical efforts with business goals, innovating solutions that enhance user experience and operational efficiency.
• Elevate our team through continuous learning, fostering an environment of engineering excellence, creating leverage via your experience, brilliance and leadership. 
• Ensure technical solutions are cohesive and support company-wide objectives.
• Apply deep product development expertise and a strong sense of customer empathy to guide the creation of user-centered solutions, ensuring the delivery of high-impact capabilities that drive value for members and our customers. 

Attributes we look for: 

• Bachelor's or Master's in Computer Science/Engineering or equivalent experience - you are relentlessly curious and an expert in multiple tried and true tech stacks, plus you are comfortable jumping into new areas and thrive on learning. 
• Deep experience in startups with demonstrated success building scalable system architectures, especially for multi-sided marketplace platforms like BetterUp's Human Transformation Platform.
• Exceptional problem-solving skills, with a strategic mindset able to navigate complex technical challenges, ensuring robust, flexible solutions that align with BetterUp’s long-term vision.
• Extensive full-stack/data engineering experience, across industries, and domains. 
• Expertise in building enterprise applications using tech like Ruby on Rails, Ember.js, AWS, etc plus the ability to leverage and reason about modern data technologies (DBT, Airflow, Snowflake) to drive data-driven, data powered systems.
• Agile and Lean startup veteran who is able to deliver incredible customer-centric product innovations, by their direct engineering ability, but also by shaping and guiding product roadmaps in the face of ambiguity, volatility, and risk. 
• Strong communicators who possess a passion for BetterUp’s mission, and have a demonstrated ability to mentor and lead with empathy, passion, and wisdom. 

What will make you successful in your time at BetterUp: 

• You have radical curiosity and you love to learn new things
• You seek feedback and turn it into action
• You can work autonomously while being great at collaboration
• You mentor and empower others around you

Benefits:

At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community. 

• Access to BetterUp coaching; one for you and one for a friend or family member 
• A competitive compensation plan with opportunity for advancement
• Medical, dental and vision insurance
• Flexible paid time off
• Per year: 
• All federal/statutory holidays observed
• 4 BetterUp Inner Work days (https://www.betterup.co/inner-work)
• 5 Volunteer Days to give back
• Learning and Development stipend
• Company wide Summer & Winter breaks 
• Year-round charitable contribution of your choice on behalf of BetterUp
• 401(k) self contribution

We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don’t hesitate to reach out — we encourage everyone interested in joining us to apply.

BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

At BetterUp, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, residence location, as well as market indicators. The range below is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future.

The base salary range for this role is $147,000 – 245,000$.

Protecting your privacy and treating your personal information with care is very important to us, and central to the entire BetterUp family. By submitting your application, you acknowledge that your personal information will be processed in accordance with ourApplicant Privacy Notice. If you have any questions about the privacy of your personal information or your rights with regards to your personal information, please reach out tosupport@betterup.co

#LI-Remote

How will this role have an impact?

Signify Health is looking for a passionate Site Reliability Engineer (SRE) to enhance our dynamic SRE team. Reporting to the Sr Director of Cloud Operations and SRE, we welcome individuals from different technical backgrounds, especially software engineers aspiring to transition into SRE/DevOps roles. 

At Signify Health, we appreciate and respect the unique experiences and perspectives that each team member brings. We are committed to providing an environment where everyone feels welcomed, respected, and empowered. So, no matter what your background is, we invite you to join us and help shape the future of healthcare while refining your skills in the SRE domain.

Diversity and Inclusion are core values at Signify Health, and fostering a workplace culture reflective of that is critical to our continued success as an organization

What will you do?

• Develop and implement strategies that improve the stability, scalability, and availability of our products
• Maintain and deploy observability solutions for infrastructure and applications to ensure optimal performance
• Participate in real-time service management, including crafting monitoring systems, alerts, playbooks, and runbooks in collaboration with our development teams
• Utilize your on-call rotation to proactively prevent incidents and maintain uninterrupted operations
• Work alongside colleagues from various disciplines to optimize operational processes
• This is a remote role with some occasional travel required to Dallas, TX

Basic Requirements

• Minimum of 4 years of relevant technical experience, with an emphasis on SRE/DevOps
• Experience creating python scripts to solve operational challenges
• Experience with Pipeline orchestration tooling such as Airflow, Dagster, etc.
• ELT tooling, Azure Data Factory
• Experience with Databricks interface/tools
• Practical experience with Azure or AWS, and Terraform
• Working knowledge of Kubernetes (AKS/EKS preferred)
• Familiarity with the deployment of CI/CD systems and practices

About Us:

Signify Health is helping build the healthcare system we all want to experience by transforming the home into the healthcare hub. We coordinate care holistically across individuals’ clinical, social, and behavioral needs so they can enjoy more healthy days at home. By building strong connections to primary care providers and community resources, we’re able to close critical care and social gaps, as well as manage risk for individuals who need help the most. This leads to better outcomes and a better experience for everyone involved.

Our high-performance networks are powered by more than 9,000 mobile doctors and nurses covering every county in the U.S., 3,500 healthcare providers and facilities in value-based arrangements, and hundreds of community-based organizations. Signify’s intelligent technology and decision-support services enable these resources to radically simplify care coordination for more than 1.5 million individuals each year while helping payers and providers more effectively implement value-based care programs.

We are committed to equal employment opportunities for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

To learn more about how we’re driving outcomes and making healthcare work better, please visit us at www.signifyhealth.com. 

About SonderMind

At SonderMind, we know that therapy works. SonderMind provides accessible, personalized mental healthcare that produces high-quality outcomes for patients. SonderMind's individualized approach to care starts with using innovative technology to help people not just find a therapist, but find the right, in-network therapist for them, should they choose to use their insurance. From there, SonderMind's clinicians are committed to delivering best-in-class care to all patients by focusing on high-quality clinical outcomes. To enable our clinicians to thrive, SonderMind defines care expectations while providing tools such as clinical note-taking, secure telehealth capabilities, outcome measurement, messaging, and direct booking.

To follow the latest SonderMind news, get to know our clients, and learn about what it’s like to work at SonderMind, you can follow us on Instagram, Linkedin, and Twitter. 

About the Role

In this role, you will be responsible for designing, building, and managing the information infrastructure systems used to collect, store, process, and distribute data. You will also be tasked with transforming data into a format that can be easily analyzed. You will work closely with data engineers on data architectures and with data scientists and business analysts to ensure they have the data necessary to complete their analyses.

Essential Functions

• Strategically design, construct, install, test, and maintain highly scalable data management systems
• Develop and maintain databases, data processing procedures, and pipelines
• Integrate new data management technologies and software engineering tools into existing structures
• Develop processes for data mining, data modeling, and data production
• Translate complex functional and technical requirements into detailed architecture, design, and high-performing software and applications
• Create custom software components and analytics applications
• Troubleshoot data-related issues and perform root cause analysis to resolve them
• Manage overall pipeline orchestration
• Optimize data warehouse performance

What does success look like?

Success in this role will be by the seamless and efficient operations of data infrastructure. This includes minimal downtime, accurate and timely data delivery and the successful implementation of new technologies and tools. The individual will have demonstrated their ability to collaborate effectively to define solutions with both technical and non-technical team members across data science, engineering, product and our core business functions. They will have made significant contributions to improving our data systems, whether through optimizing existing processes or developing innovative new solutions. Ultimately, their work will enable more informed and effective decision-making across the organization.

Who You Are 

• Bachelor’s degree in Computer Science, Engineering, or a related field
• Minimum three years experience as a Data Engineer or in a similar role
• Experience with data science and analytics engineering is a plus
• Experience with AI/ML in GenAI or data software - including vector databases - is a plus
• Proficient with scripting and programming languages (Python, Java, Scala, etc.)
• In-depth knowledge of SQL and other database related technologies
• Experience with Snowflake, DBT, BigQuery, Fivetran, Segment, etc.
• Experience with AWS cloud services (S3, RDS, Redshift, etc.)
• Experience with data pipeline and workflow management tools such as Airflow
• Strong negotiation and interpersonal skills: written, verbal, analytical
• Motivated and influential – proactive with the ability to adhere to deadlines; work to “get the job done” in a fast-paced environment
• Self-starter with the ability to multi-task

Our Benefits 

The anticipated salary rate for this role is between $130,000-160,000 per year.

As a leader in redesigning behavioral health, we are walking the walk with our employee benefits. We want the experience of working at SonderMind to accelerate people’s careers and enrich their lives, so we focus on meeting SonderMinders wherever they are and supporting them in all facets of their life and work.

Our benefits include:

• A commitment to fostering flexible hybrid work
• A generous PTO policy with a minimum of three weeks off per year
• Free therapy coverage benefits to ensure our employees have access to the care they need (must be enrolled in our medical plans to participate)
• Competitive Medical, Dental, and Vision coverage with plans to meet every need, including HSA ($1,100 company contribution) and FSA options
• Employer-paid short-term, long-term disability, life & AD&D to cover life's unexpected events. Not only that, we also cover the difference in salary for up to seven (7) weeks of short-term disability leave (after the required waiting period) should you need to use it.
• Eight weeks of paid Parental Leave (if the parent also qualifies for STD, this benefit is in addition which allows between 8-16 weeks of paid leave)
• 401K retirement plan with 100% matching which immediately vests on up to 4% of base salary
• Travel to Denver 1x a year for annual Shift gathering
• Fourteen (14) company holidays
• Company Shutdown between Christmas and New Years
• Supplemental life insurance, pet insurance coverage, commuter benefits and more!

Application Deadline

This position will be an ongoing recruitment process and will be open until filled.

Equal Opportunity 
SonderMind does not discriminate in employment opportunities or practices based on race, color, creed, sex, gender, gender identity or expression, pregnancy, childbirth or related medical conditions, religion, veteran and military status, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition (including genetic information or characteristics), sexual orientation, or any other characteristic protected by applicable federal, state, or local laws.

????London/Cardiff/UK Remote | ???? £155,000 - £175,000 + Benefits 

About our Data Discipline:

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 

We work in cross-functional squads where every data practitioner is a member of a central data discipline and fully embedded into a product squad alongside Engineers, Designers, Marketers, Product Managers, Finance Analysts etc.

What you’ll be working on:

You’ll work closely in the intersection between finance and data at Monzo, a role that will be critical to reach our ambitious goals within this area, which will be vital to future proof Monzo and support our mission to make money work for everyone.

You’ll be collaborating closely with the finance leadership team to build out a modern, data driven finance function. You will contribute towards both defining and executing our finance strategy which currently includes significant systems and automation investment. This includes scoping and delivering the data work required to support our finance systems (accounting, financial forecasting, treasury and regulatory reporting) as well as continuing to transform our key processes and controls. You’ll also be acting as an interface to Monzo’s engineering discipline across these transformation projects.

You will lead a data team responsible for building and maintaining reporting datasets required to embed control readiness and operational efficiency to allow Monzo to scale. This work will also be crucial to place finance on the right path in our journey to a potential IPO.

You’ll be leading a talented team building and analysing data models for commercial insight into our business performance. This includes building relationships within our Financial Planning & Analysis function and across the business to ensure we have the right analytics capabilities for successful business partnering.

Your day-to-day 

• Establish yourself as a trusted partner to the finance leadership team with a reputation for getting things done
• Work closely with finance leadership to define data’s priorities and support our finance strategy
• Ensure we have the right data capabilities, infrastructure and talent in place to be able to to make data driven commercial decisions and enable robust and reliable financial/regulatory reporting
• Bring data leadership and rigour to our finance function, enabling us to efficiently manage the bank’s performance and risk
• Help hire, develop and retain top tier data analysts and analytics engineers
• Promote a culture of proactive, high quality data insights that can impact the direction of Monzo

You should apply if:

What we’re doing here at Monzo excites you!

• You have multiple years of experience in data, leading analytics teams and building data infrastructure
• You consider yourself an empathetic leader and have experience managing multiple data individual contributors and data managers and you really enjoy that part of the job
• You are comfortable getting hands-on as well as taking a step back and thinking strategically and proactively identifying opportunities
• You have experience working together and collaborating with senior business stakeholders and finance teams
• Working knowledge of Python, Airflow, dbt, Bigquery and Looker

Nice to haves

• You have experience in one or more Finance domains, for example: Financial Reporting, Treasury, Regulatory Reporting or Financial Planning & Analysis, Financial Risk and Investor Relations
• Experience with financial systems such as NetSuite, SAP, Oracle, Anaplan, Blackline, Vermeg

The Interview Process:

Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!

• 30 minute recruiter call 
• 45 minute call with hiring manager 
• 4 x 1-hour video calls with various team members

Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com

What’s in it for you:

✈️ We can help you relocate to the UK 

✅ We can sponsor visas

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

????Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

#LI-REMOTE #LI-NJ1

Overview

About the Role

We are looking for an exceptional Senior Business Intelligence Analyst to help build and manage robust data models, leverage data visualization tools to create dashboards, and partner closely with cross functional teams to design data solutions needed to enable financial reporting and operations. 

About the Team

You will be joining the Financial Systems Analytics team, which sits within the Finance department at Instacart. This team is responsible for ensuring financial data is accessible, complete, accurate, and timely for downstream consumers. As part of the team, you will be a key contributor in enabling financial data reporting, analysis, and other critical business operations within Instacart.  

About the Job

• Build and regularly maintain data pipelines and models critical to Instacart’s business operation, including those used for financial reporting and analysis 
• Partner closely with Accounting, Strategic Finance, Data Science, and other teams across the company to understand their most complex problems and develop effective data solutions, including definition and development of supporting data models and architecture
• Contribute to the optimization, documentation, testing, and tooling efforts aimed at improving data quality and empowering data consumers across the organization
• Regularly communicate progress, risks, and completion of projects with stakeholders, teammates, and management
• Work closely with the Product, Data Engineering, and Business Development teams to stay current on the latest product rollouts and their data and financial impacts
• Promote and drive a self-service data culture by developing self-service data models, building easy-to-use tools and dashboards, and teaching business users how to use them

About You

Minimum Requirements:

• 5+ years of hands-on experience in BI, Data Science, or Data engineering
• Bachelor’s Degree or equivalent
• AdvancedSQL experience and dashboard building
• Highly effective written and verbal communication skills
• Proven ability to prioritize work and deliver finished products on tight deadlines
• Ability to communicate and coordinate with cross-functional teams, gather information, perform root cause analysis, and recommend solutions to business problems
• Positive attitude and enthusiasm for Instacart, your team, partners, and stakeholders

Preferred Requirements: 

• Familiarity with: Snowflake/Databricks/BigQuery or similar data warehouses, DBT/Apache Airflow or similar orchestration tools, Github, and Jira 
• Familiarity with Visualization Tools: Mode, Tableau, or similar
• Understanding of financial concepts, common accounting practices, and system solutions
• Exposure to SOX compliance best practices, including practical applications and experience with ITGCs

Come join our Artificial Intelligence team

Our AI team will work across product boundaries to rapidly prototype the AI products and features that will define the future of technical interviewing for Karat, create a competitive moat for our business, and allow our customers to source, hire, and retain the right talent with increased predictivity, less bias, and previously unimaginable efficiency.

What you will do

As a Senior Data Scientist on the AI team at Karat, you will drive innovation by extracting key insights from our data, and providing actionable recommendations for innovative products that can be built into the Karat platform as we scale. Collaborating with a small team of Engineers, you will innovate on top of the Company’s internal and external data, leverage cutting-edge AI technology like LLMs, carry complex analysis, build proofs-of-concept and prototypes, create insight, and build models and products that serve a variety of key end-users in the Interviewing Cloud space.

• Lead projects in close partnership with engineering teams to increase the signal captured during technical interviews, maximizing the product value provided to clients.
• Work hands-on in coding, data preprocessing, feature engineering, model development, and exploratory data analysis.
• Lead projects and mentor teammates working in the Data Science and AI realms across all teams and products.
• Partner with business stakeholders to understand the Company’s business challenges, develop hypotheses, and propose data-driven solutions to those challenges.
• Present complex findings and insights to non-technical audiences, influencing decision-makers across the organization.
• Stay abreast of the latest advancements in Data Science, Machine Learning, and AI, and proactively identify opportunities to apply emerging technologies to Karat’s business needs.
• Lead the dialogue within Karat about AI, Data Science and Machine Learning.

The experience you will bring

• 5+ years of tech industry experience in Data Science, Machine Learning, AI, or other related roles
• Strong expertise in programming languages such as Python, and proficiency in using relevant data science libraries and frameworks
• Experience with cloud platforms (e.g., AWS, Azure, GCP), data engineering pipeline and tools such as dbt, airflow, and model deployment process
• Proven track record leading Data Science, Machine Learning or AI projects that have delivered significant business impact
• Exceptional problem-solving skills with the ability to translate business challenges into data-driven solutions
• Deep understanding of statistical analysis, data manipulation, and data visualization techniques
• Excellent communication skills, with the ability to communicate complex technical concepts to both technical and non-technical audiences
• Strong fluency in written and spoken English

Applicants, please note: submissions not 100% in English will not be considered.

Legal Employment Statement 

Karat is a U.S. company. In order to work with individuals outside of the United States, we partner with a Professional Employer Organization (PEO). If hired for this position, your legal employer will be the PEO. This means your payroll, benefits offered, time off, etc., will be offered and managed by them.

Come join our Artificial Intelligence team

Our AI team will work across product boundaries to rapidly prototype the AI products and features that will define the future of technical interviewing for Karat, create a competitive moat for our business, and allow our customers to source, hire, and retain the right talent with increased predictivity, less bias, and previously unimaginable efficiency.

What you will do

As a Senior Data Scientist on the AI team at Karat, you will drive innovation by extracting key insights from our data, and providing actionable recommendations for innovative products that can be built into the Karat platform as we scale. Collaborating with a small team of Engineers, you will innovate on top of the Company’s internal and external data, leverage cutting-edge AI technology like LLMs, carry complex analysis, build proofs-of-concept and prototypes, create insight, and build models and products that serve a variety of key end-users in the Interviewing Cloud space.

• Lead projects in close partnership with engineering teams to increase the signal captured during technical interviews, maximizing the product value provided to clients.
• Work hands-on in coding, data preprocessing, feature engineering, model development, and exploratory data analysis.
• Lead projects and mentor teammates working in the Data Science and AI realms across all teams and products.
• Partner with business stakeholders to understand the Company’s business challenges, develop hypotheses, and propose data-driven solutions to those challenges.
• Present complex findings and insights to non-technical audiences, influencing decision-makers across the organization.
• Stay abreast of the latest advancements in Data Science, Machine Learning, and AI, and proactively identify opportunities to apply emerging technologies to Karat’s business needs.
• Lead the dialogue within Karat about AI, Data Science and Machine Learning.

The experience you will bring

• 5+ years of tech industry experience in Data Science, Machine Learning, AI, or other related roles
• Strong expertise in programming languages such as Python, and proficiency in using relevant data science libraries and frameworks
• Experience with cloud platforms (e.g., AWS, Azure, GCP), data engineering pipeline and tools such as dbt, airflow, and model deployment process
• Proven track record leading Data Science, Machine Learning or AI projects that have delivered significant business impact
• Exceptional problem-solving skills with the ability to translate business challenges into data-driven solutions
• Deep understanding of statistical analysis, data manipulation, and data visualization techniques
• Excellent communication skills, with the ability to communicate complex technical concepts to both technical and non-technical audiences
• Strong fluency in written and spoken English

Applicants, please note: submissions not 100% in English will not be considered.

Legal Employment Statement 

Karat is a U.S. company. In order to work with individuals outside of the United States, we partner with a Professional Employer Organization (PEO). If hired for this position, your legal employer will be the PEO. This means your payroll, benefits offered, time off, etc., will be offered and managed by them.

Come join our Artificial Intelligence team

Our AI team will work across product boundaries to rapidly prototype the AI products and features that will define the future of technical interviewing for Karat, create a competitive moat for our business, and allow our customers to source, hire, and retain the right talent with increased predictivity, less bias, and previously unimaginable efficiency.

What you will do

As a Senior Data Scientist on the AI team at Karat, you will drive innovation by extracting key insights from our data, and providing actionable recommendations for innovative products that can be built into the Karat platform as we scale. Collaborating with a small team of Engineers, you will innovate on top of the Company’s internal and external data, leverage cutting-edge AI technology like LLMs, carry complex analysis, build proofs-of-concept and prototypes, create insight, and build models and products that serve a variety of key end-users in the Interviewing Cloud space.

This is a Salary, Exemptposition. Immigration sponsorshipis notavailable.

• Lead projects in close partnership with engineering teams to increase the signal captured during technical interviews, maximizing the product value provided to clients.
• Work hands-on in coding, data preprocessing, feature engineering, model development, and exploratory data analysis.
• Lead projects and mentor teammates working in the Data Science and AI realms across all teams and products.
• Partner with business stakeholders to understand the Company’s business challenges, develop hypotheses, and propose data-driven solutions to those challenges.
• Present complex findings and insights to non-technical audiences, influencing decision-makers across the organization.
• Stay abreast of the latest advancements in Data Science, Machine Learning, and AI, and proactively identify opportunities to apply emerging technologies to Karat’s business needs.
• Lead the dialogue within Karat about AI, Data Science and Machine Learning.

The experience you will bring

• 5+ years of tech industry experience in Data Science, Machine Learning, AI, or other related roles
• Strong expertise in programming languages such as Python, and proficiency in using relevant data science libraries and frameworks
• Experience with cloud platforms (e.g., AWS, Azure, GCP), data engineering pipeline and tools such as dbt, airflow, and model deployment process
• Proven track record leading Data Science, Machine Learning or AI projects that have delivered significant business impact
• Exceptional problem-solving skills with the ability to translate business challenges into data-driven solutions
• Deep understanding of statistical analysis, data manipulation, and data visualization techniques
• Excellent communication skills, with the ability to communicate complex technical concepts to both technical and non-technical audiences

About JWP:

JWP is transforming the Digital Video Economy as a trusted partner for over 40,000 broadcasters, publishers, and video-driven brands through our cutting-edge video software and data insights platform. JWP empowers customers with unprecedented independence and control over their digital video content. Established in 2004 as an open-source video player, JWP has evolved into the premier force driving digital video for businesses worldwide. With a rich legacy of pioneering video technology, JWP customers currently generate 8 billion video impressions/month and 5 billion minutes of videos watched/month. At JWP, everyone shares a passion for revolutionizing the digital video landscape. If you are ready to be a part of a dynamic and collaborative team then join us in shaping the future of video! 

The Data Engineering Team: 

At JWP, our data team is a dynamic and innovative team, managing the data lifecycle, from ingestion to processing and analysis, touching every corner of our thriving business ecosystem. Engineers on the team play a pivotal role in shaping the company's direction by making key decisions about our infrastructure, technology stack, and implementation strategies. 

The Opportunity: 

As a Senior Data Engineer, you will:

• Contribute to the development of distributed batch and real-time data infrastructure.
• Mentor and work closely with junior engineers on the team. 
• Perform code reviews with peers. 
• Lead small to medium sized projects, documenting and ticket writing the projects. 
• Collaborate closely with Product Managers, Analysts, and cross-functional teams to gather insights and drive innovation in data products. 

Requirements for the role:

• Minimum 5+ years of backend engineering experience with a passionate interest for big data.
• Expertise with Python or Java and SQL. 
• Familiarity with Kafka
• Experience with a range of datastores, from relational to key-value to document
• Demonstrate humility, empathy, and a collaborative spirit that fuels team success. 

Bonus Points:

• Data engineering experience, specifically with data modeling, warehousing and building ETL pipelines
• Familiarity with AWS - in particular, EC2, S3, RDS, and EMR
• Familiarity with Snowflake
• Familiarity with Elasticsearch
• Familiarity with data processing tools like Hadoop, Spark, Kafka, and Flink
• Experience with Docker, Kubernetes, and application monitoring tools
• Experience and/or training with agile methodologies
• Familiarity with Airflow for task and dependency management

Perks of being at JWP, United States

Our goal is to take care of you and ensure you will be successful in your new role. Your success is our success! 

As a full time employee, you will qualify for:

• Private Medical, Vision and Dental Coverage for you and your family
• Unlimited Paid Time Off
• Stock Options Purchase Program
• Quarterly and Annual Team Events
• Professional Career Development Program and Career Development Progression
• New Employee Home Office Setup Stipend
• Monthly Connectivity Stipend
• Free and discounted perks through JWP's benefit partners
• Bi-Annual Hack Weeks for those who are interested in using their coding knowledge
• Fireside chats with individuals throughout JWP

*Benefits are subject to location and can change at the discretion of the Company. 

Check out our social channels:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Overview

At Instacart, our mission is to create a world where everyone has access to the food they love and more time to enjoy it together. Millions of customers every year use Instacart to buy their groceries online, and the Data Engineering team is building the critical data pipelines that underpin all of the myriad of ways that data is used across Instacart to support our customers and partners.

About the Role 

The Finance data engineering team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart’s products. This role is an exciting opportunity to join a key team shaping the post-IPO financial data vision and roadmap for the company.

About the Team 

Finance data engineering is part of the Infrastructure Engineering pillar, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. Our team collaborates closely with product teams to capture critical data needed for financial use cases.

About the Job 

• You will be part of a team with a large amount of ownership and autonomy.
• Large scope for company-level impact working on financial data.
• You will work closely with engineers and both internal and external stakeholders, owning a large part of the process from problem understanding to shipping the solution.
• You will ship high quality, scalable and robust solutions with a sense of urgency.
• You will have the freedom to suggest and drive organization-wide initiatives.

About You

Minimum Qualifications

• 8+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines.
• Expert with SQL and  knowledge of Python.
• Experience building high quality ETL/ELT pipelines.
• Past experience with data immutability, auditability, slowly changing dimensions or similar concepts.
• Experience building data pipelines for accounting/billing purposes.
• Experience with cloud-based data technologies such as Snowflake, Databricks, Trino/Presto, or similar.
• Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
• A strong sense of ownership, and an ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
• Experience working with a large codebase on a cross functional team.

Preferred Qualifications

• Bachelor’s degree in Computer Science, computer engineering, electrical engineering OR equivalent work experience.
• Experience with Snowflake, dbt (data build tool) and Airflow
• Experience with data quality monitoring/observability, either using custom frameworks or tools like Great Expectations, Monte Carlo etc

#LI-Remote