Location - Pune OR Bengaluru

The Role

Be at the forefront of exciting data initiatives at Addepar!

Addepar is hiring a hands-on engineering manager who will bring to bear their expertise, leadership, and platform management skills to create solutions for Machine Learning, AI, and Data Governance.

What You’ll Do

• Work in partnership with product managers and technical partners to identify requirements and priorities, and map out solutions for challenging technology and workflow problems.
• Gain foundational knowledge of core Addepar systems, including the Addepar Data Lakehouse. Use these insights to inform a strategic approach for AIML Ops, and Data Governance infrastructure.
• Create platform-based solutions for the creation, tuning, and deployment of Machine Learning and AI solutions
• Reduce complexity through the adoption of strategic data architecture and workflows
• Unlock data value through the enablement of data governance outcomes

Who You Are

• 10+ years of experience in the software engineering field.
• 5+ years of relevant work experience and education that shows proficiency in platform management, particularly in enabling Machine Learning and AI outcomes.
• A confident and positive outlook with low ego; high degree of ingenuity, resourcefulness, and problem-solving skills.
• Practical knowledge of agile practices with an outlook that prioritizes experimentation and iteration combined with an ability to guide teams toward activities and processes that facilitate optimal outcomes.
• Comfortable working in a cloud context, with automated infrastructure and service oriented architecture.
• Experience with Data Governance initiatives and a track-record of improving data outcomes
• Experience with SaaS / Cloud offerings will be a big plus.
• Experience with Python will be a big plus.

Our engineering stack has PySpark on Databricks at its core; so experience in these technologies is preferred.

Are you looking for a cutting-edge tech stack to work with on a daily basis? We are currently expanding our Campaigns team and are looking for a new colleague to join as a Senior Software Engineer. The salary range starts at 3500€ per month, along with restricted stock units 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?

As a Senior Software Engineer at our company, you'll come face-to-face with exciting, high-end technical challenges. You'll be a part of a team that delivers magical customer experiences through personalized omnichannel marketing campaigns. You’ll work on  implementing new microservices into our architecture, managing high-throughput systems, and enhancing the speed and reliability of our platform. You will utilize cutting-edge AI-powered solutions, such as GenAI and LLMs. 

You'll collaborate closely with other engineering teams and product managers to ensure seamless integration of our campaigns automation features with the rest of our platform, fostering a culture of collaboration and innovation. This role offers a unique opportunity to combine your technical expertise with a passion for customer experience enhancement and a desire to empower businesses with data-driven personalization.

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 product features into technical specifications and design documents.
• Collaborate with other engineering teams to ensure a unified software architecture.
• Define and develop back-office API endpoints as well as high-performance serving endpoints.
• Develop and implement high-throughput, scalable and reliable systems 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 API testing, including unit tests, system tests and performance tests.
• Implement monitoring systems and dashboards to track the performance of our systems in production, identify potential issues, and optimize for speed and cost efficiency.
• Contribute to developing and implementing DevOps best practices within the team.

c. Support and Maintain owned components

• Maintain end-to-end features, encompassing microservices, back-office APIs, and high-performance serving APIs.
• Provide ongoing support and maintenance for existing 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 Campaigns team work with?

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

The owned area focuses on Marketing Campaigns Automation, including scheduling, audience management, content personalization and delivery. We support various marketing channels, such as Mobile Messaging, Emails, SMS/MMS, Push Notifications and Webhooks. We use Jinja for personalization and utilize ML models for content generation. Therefore, having experience in the mentioned areas is an advantage.

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 Go or Python engineering, system design, and maintenance in the area of campaign automation.
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 at least one of the following languages: Go or Python, which are essential for building our data-driven features.
• Solid understanding of microservice-oriented architecture and experience in building systems with high throughput and low latency APIs. Familiarity with service orchestration and management (e.g. GKE).
• Experience with version control systems (Git) and CI/CD pipelines. We utilize Git for code management and CI/CD pipelines for efficient development and deployment.
• Familiarity with database management (preferably MongoDB and Redis) and event streaming (e.g. Apache Kafka).
• Experience with integrating omnichannel communication such as Mobile Messaging, Emails, SMS/MMS, Push Notifications and Webhooks would be a valued asset.
• Interest in Generative AI and its applications is a plus.

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.
• A commitment to delivering high-quality work and a dedication to continuous improvement.

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

Note: This role is a 2nd shift position with a schedule of 2 PM - 12 AM CDT, Wednesday to Saturday. During the onboarding period, you will follow a standard Monday-Friday work schedule until onboarding is complete.

What You’ll Do

• Be the first point of contact for all incoming technical support questions and handle all customer interactions with understanding, empathy, and transparency.
• Troubleshoot OS, hardware, and Lambda Stack issues for customers and provide guidance on the best technical solutions that suit their needs.
• Route and escalate tickets, as needed, to appropriate teams and departments while owning customer communication throughout the issue lifecycle.
• Work with our technical writing team to document solutions to common problems to allow for future customer self-service.
• Provide feedback to internal teams on technical issues our customers are facing and, above all, be the customer’s advocate.
• Work together in a cohesive, customer-first collaborative team environment, sharing your skills, knowledge, and experience.

You

• Have Linux administration experience in bare-metal, virtualized, and/or cloud environments.
• Familiarity with private or hybrid cloud environments, such as Azure, AWS, and/or OCI.
• Experience with monitoring and alerting for enterprise and cloud environments.
• Have Shell and Python scripting proficiency.
• Strong ability to curate and adhere to technical standard operating procedures.
• Possess excellent written and oral communication skills.
• Proven experience when handling multiple customer interactions in a fast-paced environment.

Nice to Have

• Familiarity with datacenter level hardware, including GPUs.
• Familiarity with ML / AI / Deep Learning.
• Experience with Zendesk ticketing.
• Wide flexibility for scheduling as we push for 24/7 support availability.

Salary Range Information 

Based on market data and other factors, the salary range for this position is $69,000-$105,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. 

Overview

This role challenges traditional approaches to digital shopping by improving backend systems that power a seamless user journey. You will lead efforts to enhance content discoverability and purchase processes, helping to perfect the interaction between user desires and our vast product offerings.

About The Role

The Senior Software Engineer will focus on enhancing the user experience by developing robust backend architectures that support advanced recommendation and personalization systems. In close collaboration with ML engineers, product teams, and data scientists, you will lead the innovation of our backend services, enabling sophisticated, data-driven features that adapt to our customers' shopping behaviors.

About the Team

The Core Experience teams are dedicated to creating engaging and straightforward shopping experiences. You will be part of a team that is at the heart of product innovation, focusing on everything from the user interfaces to the underlying systems that support our web and mobile platforms. Our team’s work is guided by a data-driven methodology that ensures decisions are aligned with consumer needs, helping us move swiftly and efficiently in our development processes.

Overview of the Core Experiences teams that are currently hiring:

Discover Team:

An engineer who will be enhancing our feed architecture, refining how content is recommended and delivered to optimize the shopping journey. The role will collaborate with ML engineers, product managers, and data scientists to drive the transformation of Instacart's recommendation systems, ensuring every interaction is personalized and impactful.

About the Job

Responsibilities:

• Design, build, and maintain high-quality backend applications.
• Lead the development of our backend system's roadmap, prioritizing scalability and reliability.
• Innovate and think creatively to develop new features that enhance our customer's shopping experiences.
• Own and lead major components of our product, ensuring they meet both internal standards and external expectations.
• Collaborate across teams to foster a unified approach to product development, facilitating consensus and driving effective outcomes.
• Responsible for the strategic planning and execution of projects you oversee, from inception to deployment and maintenance.

About You

Minimum Qualifications

• 5+ years of backend development experience, with a strong record of project delivery.
• Proficiency in backend languages, such as Ruby or Go.
• A solid foundation in unit testing and problem-solving.
• Exceptional communication skills and the ability to lead and collaborate with diverse teams.
• Holds a Bachelor's or Master’s degree in Computer Science, Software Engineering, or equivalent experience.

Preferred Qualifications

• Experience with recommender systems and personalization algorithms.
• Familiarity with ML model development and iteration.
• Deep understanding of feed architecture principles.
• Skilled in the use of monitoring and observability tools like Datadog.
• Extensive experience with database management, particularly PostgreSQL.

About Us

At Kalderos, we are building unifying technologies that bring transparency, trust, and equity to the entire healthcare community with a focus on pharmaceutical pricing.  Our success is measured when we can empower all of healthcare to focus more on improving the health of people. 

To learn more: https://www.kalderos.com/company/about 

Kalderos is a fast growing, venture-backed, remote first company which provides data analytics and software to our customers. We have many customers and utilize a modern technology stack (Snowflake, DBT, Azure, React, Databricks, AI and ML models)

Our company’s success is driven by Kalderos’ greatest asset, our people. Our team thrives on the problems that we solve, is driven to innovate, and welcomes on the feedback of their peers. Our team is passionate about what they do and we are looking for people to join our company and our mission.

That’s where you come in! We’re looking for a Director of Data Science to oversee the Data Analytics and Data Science functions of the company. 

What You’ll Do:

• Work closely across data analytics, data science and product to enable the team to deliver high impact functionality and hit dates committed to on the roadmap
• Use business acumen to help prioritize product features and technology roadmap items
• Create and maintain a technology roadmap
• Work closely with other engineering leadership to mentor and guide them on business, career planning, budget and technical architecture
• Create and maintain an engaging and fun engineering and data culture
• Coach and mentor analysts, data scientists and managers to empower them to be the best versions of themselves. You will need to find the right balance between creating the space for them to do their best work, and coaching and developing new skills.
• Recruit and onboard new analysts, data scientists and managers
• Improve our delivery processes to increase accuracy of estimation, reliability of delivery, and velocity of execution
• Oversee the company’s technology vendor relationships and provide recommendations on whether to buy or build components and capabilities
• Learn and apply knowledge about the drug discount space, and become a subject matter expert for internal teams to draw upon

What You’ll Bring:

• Bachelor’s degree in computer science or other engineering disciplines, or equivalent experience
• 5+ years experience as a Software Engineer or Data Scientist in a professional full-time role
• 8+ years experience leading a data analytics, data science or similar data team
• 4+ years experience working with data scientists on AI / ML modeling
• Experience with Cloud Native technology development and deployment
• Experience building and scaling teams including leading recruiting initiatives
• Understand and design for non-functional concerns such as performance, cost optimization, and maintainability
• Great analytical and problem-solving skills with an eye for requirements analysis, debugging, and risk assessment
• Knowledge of and experience implementing engineering principles and agile development procedures

Set Yourself Apart:

• Experience in the Healthcare or similarly regulated industry
• Azure experience
• Databricks experience
• ML models experience

Expected Salary Range: $175,000 - $215,000 base + bonus

This position can be remote in the United States or hybrid in Chicago, IL or Boston, MA. Expected hours will be Eastern or Central time.

____________________________________________________________________________________________

Highlighted Company Perks and Benefits

• Medical, Dental, and Vision benefits
• 401k with company match
• Flexible PTO with a 10 day minimum
• Opportunity for growth
• Mobile & Wifi Reimbursement
• Commuter Reimbursement
• Donation matching for charitable contributions
• Travel reimbursement for healthcare services not available near your home
• New employee home office setup reimbursement

What It’s Like Working Here

• We thrive on collaboration, because we believe that all voices matter and we can only put our best work into the world when we work together to solve problems.
• We empower each other and believe in ensuring all voices are heard.
• We know the importance of feedback in individual and organizational growth and development, which is why we've embedded it into our practice and culture. 
• We’re curious and go deep. Our slack channel is filled throughout the day with insightful articles, discussions around our industry, healthcare, and our book club is always bursting with questions.

To learn more:https://www.kalderos.com/company/culture

We know that job postings can be intimidating, and research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. We encourage you to apply if you think you may be a fit and give us both a chance to find out!

Kalderos is proud to be an equal opportunity workplace.  We are committed to equal opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.

Kalderos participates in E-Verify.

What we’re looking for…

ScienceLogic is seeking an MLOps Engineer who will play a critical role in operationalizing GenAI offerings. Ideal candidates will be passionate and have had proven expertise in designing and engineering MLOps pipelines or CI/CD implementations as well as curating data for machine learning and/or Large Language Models for benchmarking. You are ever curious and hungry to learn, with a bias toward action and delivering value to the customer quickly. We are building out a leading-edge, AI-first monitoring analytics platform for ScienceLogic customers and prospects. The capabilities of this platform will eclipse what other observability vendors are bringing. This is the product you'll be working on.

What you’ll be doing…

• Deploying, monitoring, and optimizing machine learning models and overall, AI infrastructure – At scale designing and managing of model lifecycle deploying.
• Creation/curation of datasets – Building a robust repository of datasets that exercise myriads of test cases.
• Automation of regression testing – Ensuring that the AIML systems built are scalable and sustainable across our established and growing customer base.
• Establishing and monitoring benchmarks – Researching industry best practices and translating them to what ScienceLogic can maintain and evolve to give extremely superior quality of trustworthy machine learning solutions.
• You will be working key leaders of our Analytics group including CTO of Skylar AI to develop core offering and help build out the team.

Qualities you possess…

• BS/MS/PhD in Computer Science or similar technical field of study.
• 5+ experience with software engineering developing and deploying production-level code for highly scalable distributed systems.
• Experience with following tech stack:
  - Frontend: React UI, Swagger APIs.
  - Backend: Python, ClickHouse, OpenTelemetry.
  - Cloud: Mostly AWS, but on-prem is deployed via HELM, as a cloud-native app.
  - ML: HuggingFace Python libs, PostgresML, Pytorch, OpenAI.

As the MLOPs engineer, you'll resonate with and embody our core values –

• Empathy: We empathize with our customers to help them solve core problems. Our empathy also extends to our team as we enable people to experiment, grow and do their best work.
• Ownership: Joining at an early stage of this product's design and implementation, you will be expected to own large parts of the product and work through high ambiguity without explicit direction. You will also be expected to bring forth feedback and ideas to help shape the product.
• Communication: Strong communication is required to work through ambiguity and showcase clarity of thought when interacting with customers, prospects, and the team.
• Ambition: We are here to solve hard problems and want to bring on board people who seek out challenges and want to excel. Have something to prove about yourself? Willing to put in the necessary effort to overcome a lack of particular education or experience? You’ll make your mark here.

Benefits & Perks

• A remote-first culture - work from home or come into the office, it's totally up to you.
• Comprehensive medical, dental and vision plans.
• 401(k) plan with employer match.
• Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize.
• Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization.
• 5-year Service Milestone Sabbatical.
• Paid parental leave.
• Generous employee referral bonus program.
• Pet insurance.
• HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays.
• Regular virtual company-wide events, including cooking classes, yoga, meditation and more.
• The opportunity to learn and develop from some of the best and brightest minds in the industry!

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At ScienceLogic, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which you are applying.

About ScienceLogic

We empower intelligent and automated IT operations.

The ScienceLogic SL1 platform enables companies to digitally transform themselves by removing the difficulty of managing complex, distributed IT services. We use patented discovery techniques to find everything in your IT environment, so you get visibility across all technologies and vendors running anywhere in your data centers or clouds

www.sciencelogic.com

All ScienceLogic employees have the responsibility to protect information assets, adhere to access controls, report suspicious activity, and comply with security and privacy policies.

#LI-Remote

What we’re looking for…

ScienceLogic is seeking an AI Database Performance Engineer who will help shape the system and solution design of ScienceLogic’s most advanced GenAI offerings. Ideal candidates will be passionate and have had proven expertise in database technologies especially columnar data modeling, query optimization and OLAP. You would be responsible to make sure the various system databases are well-structured to support downstream model training. You are ever curious and hungry to learn, with a bias toward action and delivering value to the customer quickly. We are building out a leading-edge, AI-first monitoring analytics platform for ScienceLogic customers and prospects. The capabilities of this platform will eclipse what other observability vendors are bringing. This is the product you'll be working on.

What you’ll be doing…

• You will be working key leaders of our Analytics group including CTO of Skylar AI to develop core offering and help build out the team.
• Working with highly scalable and performant databases like Clickhouse: Modeling and creating OLAP cubes for exploration. You will use your mastery in query optimization and database system design.
• Governance and guard-rail monitoring of production databases: You will participate in large scale data product deployment and help setup best practices around maintaining robust schema and entity modeling.
• You will use your understanding of ML Training Data and User Feedback to guide the data scientists to collect the right data for fine-tuning, relevance ranking optimization, and benchmarking.

Qualities you possess…

• BS/MS/PhD in Computer Science, similar technical field of study, or equivalent practical experience.
• 5+ experience with software engineering developing and deploying production-level code for highly scalable distributed systems.
• Proven expertise in database technologies, especially columnar data modeling, query optimization and OLAP.
• Experience with following tech stack is a plus:
  - Frontend: React UI, Swagger APIs.
  - Backend: Python, ClickHouse, OpenTelemetry.
  - Cloud: Mostly AWS, but on-prem is deployed via HELM, as a cloud-native app.
  - ML: HuggingFace Python libs, PostgresML, Pytorch, OpenAI.

As the lead AI database optimization engineer, you'll resonate with and embody our core values –

• Empathy: We empathize with our customers to help them solve core problems. Our empathy also extends to our team as we enable people to experiment, grow and do their best work.
• Ownership: Joining at an early stage of this product's design and implementation, you will be expected to own large parts of the product and work through high ambiguity without explicit direction. You will also be expected to bring forth feedback and ideas to help shape the product.
• Communication: Strong communication is required to work through ambiguity and showcase clarity of thought when interacting with customers, prospects, and the team.
• Ambition: We are here to solve hard problems and want to bring on board people who seek out challenges and want to excel. Have something to prove about yourself? Willing to put in the necessary effort to overcome a lack of particular education or experience? You’ll make your mark here.

Benefits & Perks

• A remote-first culture - work from home or come into the office, it's totally up to you.
• Comprehensive medical, dental and vision plans.
• 401(k) plan with employer match.
• Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize.
• Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization.
• 5-year Service Milestone Sabbatical.
• Paid parental leave.
• Generous employee referral bonus program.
• Pet insurance.
• HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays.
• Regular virtual company-wide events, including cooking classes, yoga, meditation and more.
• The opportunity to learn and develop from some of the best and brightest minds in the industry!

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At ScienceLogic, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which you are applying.

The typical base pay range for this role across the U.S. is USD $180,000 - $200,000 per year. In addition, this role is eligible for an annual bonus and stock option grants. 

About ScienceLogic

We empower intelligent and automated IT operations.

The ScienceLogic SL1 platform enables companies to digitally transform themselves by removing the difficulty of managing complex, distributed IT services. We use patented discovery techniques to find everything in your IT environment, so you get visibility across all technologies and vendors running anywhere in your data centers or clouds

www.sciencelogic.com

All ScienceLogic employees have the responsibility to protect information assets, adhere to access controls, report suspicious activity, and comply with security and privacy policies.

#LI-Remote

????London or Remote (UK)  | ???? £100,000 to £150,000 + Stock Options + Benefits | Hear from the team

About us:

At Monzo we want to make money work for everyone. We care deeply about our 10 million customers. Through magically simple products and actionable insights, we put our customers in control of their finance. Our products are different by design, and reliable at our core.

Our range of borrowing products are critical to Monzo’s mission. Not only do they serve important needs of our customers, they are also a key revenue driver to support Monzo keep delivering great products and experience. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective and efficient credit risk management. Our product portfolios are still expanding, from personal to business credit, and markets beyond UK. We are looking for bright, passionate and creative individuals to further accelerate our growth.

About the role:

The mission of Borrowing Decision Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing.

You will be taking a hands-on technical leadership role among a small team of very experienced and self-sufficient Decision Scientists. With in-depth knowledge and experience in the credit industry, you’ll drive innovations by identifying new opportunities of data and ML applications, and delivering business values across multiple Borrowing products. You’ll have a close relationship with leaders across Credit Strategy, Model Validation, Products and Engineers, to drive and influence strategic decisions and product roadmaps. You’ll also have the opportunities to work with external data suppliers and industry peers, to push the innovation frontiers for the credit industry.

With excellent technical skills, you’ll also spearhead the continuous development of our toolings, methodologies, and processes, to empower the team build better models easier and faster. You’ll serve as the champion for the quality and efficiency of model development, and ensure safe and scalable growth of our model portfolio. You’ll also have plenty opportunities to work with other modelling teams across Monzo, to collaborate on the best practices and latest technologies.

Our technology stack

We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics usages
  • BigQuery SQL and dbt for our data modelling and warehousing
  • PyData stack for model development and offline deployment
  • Google AI platform for cloud computing
• AWS for backend infrastructure
  • Python for ML model microservices
  • Go lang for most other microservices

You should apply if:

• You are result oriented and motivated by the impact on our customers and business
• You thrive in a fast-paced environment and comfortable with frequent context switching
• You enjoy both the strategic thinking and influence, as well as hands-on solving technical problems
• You want to build trust and influence a diverse range of leaders and stakeholders
• You like inspiring people around you, with innovative thinking and high standard execution

You must have:

• Excellent technical skills in Python, SQL, and statistics
• Extensive knowledge of the credit industry, including the products, data, typical ML applications, and related regulations
• Hands-on experience across the lifecycle of credit risk models, including project scoping, data curation, model optimisation, performance analysis, deployment, monitoring, and diagnosis
• Successful track record of managing complex projects, with cross-functional teams and senior stakeholders

Even better if you have:

• Previous experience of handling relationships with data suppliers such as credit bureaus
• Previous experience of managing data and model governance

The Interview Process:

Our interview process involves the following stages:

• Recruiter Call
• Take Home Task
• 4x (virtual) face-to-face stages
  • Technical interview
  • Case study
  • Value & collaboration
  • Leadership

Our average process for this level role takes around 5-6 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

One of our team has written a detailed blog on their experience through this process, for extra details, hints and tips please see here.

What’s in it for you:

???? £100,000 to £150,000 ➕ plus stock options & benefits

✈️ We can help you relocate to the UK

✅ We can sponsor visas

????This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travels to London.

????We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup.

⏰ 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-NB2  #LI-Remote

​​About the Role:

The Senior Director, CRM is responsible for developing and implementing strategies to improve our customer communications. This is done by enabling scalable lifecycle campaigns to ensure customers have a great onboarding and active customer experience. The foundation of success will be measuring the effectiveness of this work on the customer journey and building a messaging platform capable of scaling with the growth potential of the business.

This person will lead all aspects of the company’s CRM efforts, not limited to: Email, SMS, push notifications, in-app content & content development. They will also lead development of the staff, processes, and systems necessary to establish a world-class CRM team. This role will integrate with a large cross-functional group to ensure that Hims and Hers CRM growth is accelerating as we continue to evolve as a business, with success expected across the entire customer lifecycle.

You Will:

• Develop and maintain best-in-class CRM strategy for Hims and Hers product categories that result in strong acquisition and retention metric improvements
• Manage the CRM team, which includes strategists, managers and directors dedicated to CRM campaign management and technical operations
• Foster development for all team members and ensure a healthy work environment for all team members
• Build quarterly road maps of projects to complete to drive channel growth and to support product launches
• Lead team meetings and ensure all team members are evaluating performance trends and prioritizing the most impactful initiatives
• Foster collaborative relationships with cross-functional teams that integrate with CRM growth strategy - category growth, analytics, legal, product & telemedicine
• Interpret key performance metrics, identify trends, and prioritize opportunities for operating income growth through enhancements to customer onboarding, active customer touchpoints & retention strategies
• Report growth results on a regular basis to the broader growth marketing team, using insights to continually optimize performance and identify growth opportunities
• Stay abreast of changes in CRM technology, identify best practices, and bring new opportunities and ideas to fruition
• Identify opportunities for automation leveraging internal/external tools. Act as strategic lead for the integration of AI / ML into CRM strategy
• Work cross-functionally with Growth, Product, Operations, Business Development and Medical teams to increase site traffic and drive conversion

You Have:

• 12+ years of hands-on experience managing CRM strategy + lifecycle marketing
• Experience with various CRM platforms / technology. Braze experience is a plus
• Proven track record of driving measurable revenue and retention improvements
• Strong quantitative analysis skills, an affinity for numbers, and the ability to process complex calculations quickly and accurately
• Functional knowledge of marketing technology and experience with integrating automation in collaboration with product and engineering teams
• Exceptional customer insights and proven success utilizing analytics to provide strategic recommendations and drive concrete action
• Strong written communication and presentation skills
• Self-starter, strong organizational skills, ownership mentality and the ability to prioritize work
• Ability to work in a highly collaborative environment, multi-task and participate in team-based planning process
• Experience managing direct reports with multiple years of experience

Preferred Qualifications:

• Bachelors' degree in Marketing, Business, Technology or related field, or equivalent work experience

Our Benefits (there are more but here are some highlights):

• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats

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What You’ll Do

• Help design, build and improve our new inference and ML computation platform, acting as technical lead for one or more of our implementation teams.
• Work with management, product and other internal business partners to drive technical decisions based on business and market needs
• Work on the architecture of our distributed systems to ensure best-in-class reliability and efficiency, while helping to minimize operational costs and toil work
• Provide your team empathetic leadership as well as mentorship to grow their own skills and abilities
• Build products around a large range of ML models and types, including industry-leading research
• Help build safety and fraud systems, around both inference and other ML systems
• Handle interesting and dynamic scaling, hardware and scheduling challenges in a very dynamic and rapidly changing industry sector

You

• Are an experienced lead software engineer with ten or more years of working on business-critical distributed systems.
• Have a history of leading projects from inception to production, including making technical decisions, authoring design and decision documents, and advising on staffing needs.
• Have significant experience architecting systems around relational databases, document databases, queue datastores, block storage, object storage, unreliable networks, and caches.
• Have a deep understanding of the balance between initial build costs and operational costs, and what it takes to launch a product quickly but with a good technical foundation.
• Can write both Go and Python to a high level, and can pick up other languages as needed.
• Are very familiar with building integrated test frameworks and using CI/CD systems
• Are product-oriented and focused on great user experiences, and are invested in building the best product possible for users.
• Are good at working cross-functionally and solving problems across teams, including empathetic conflict resolution when working alongside teams with different priorities.
• Have recent team leadership experience (on a team of four or more people) 

Nice to Have

• Experience writing Kubernetes operators or other Kubernetes integrations
• Experience running ML/GPU workloads in production
• Experience with computation dispatch and orchestration systems
• Bare-metal hardware experience

Salary Range Information 

Based on market data and other factors, the salary range for this position is $186,000 - $294,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

Grammarly is excited to offer aremote-first hybrid working model. Grammarly team members in this role must be based in Germany, and, depending on business needs, they must meet in person for collaboration weeks, traveling if necessary to the hub(s) where their team is based.

This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of theFortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 14 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The opportunity 

To achieve our ambitious goals, we are looking for an experienced Software Engineer, Data Engineering, who can lead independently and drive projects end to end. The person in this role will build highly automated, low-latency core datasets to help engineers and end users across Grammarly work with analytical data at scale. They will also create tools and own backend software frameworks, platforms, and tools that other teams can use to build analytics at scale. 

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

The Data Engineering team has a critical mission to equip all Grammarlians with the data and tools they need to build analytical products and make decisions. To deal with the massive scale of data, our team employs software design principles to keep our data healthy and freely flowing. 

In this role, you will:  

• Build Data Pipelines and Infrastructure for optimal extraction, transformation, and loading data from a wide variety of sources.
• Design & improve data models, storage structures, and tools for easy data discovery, increased visibility, and accessibility to enable rapid development of Analytics Dashboards and ML experiments.
• Work closely with ML and Analytics teams to streamline & optimize data delivery and processing and help land business-critical projects.
• Address data latency and scalability issues and ensure frequent and reliable data refresh for downstream processes.
• Model structure, storage, and access of data at very high volumes for our data lakehouse.
• Improve developer productivity and self-serve solutions by contributing components to our stream data processing framework(s).
• Own data engineering's infrastructure-as-code for provisioning services that allow our engineers to deploy mature software installations within a few hours.
• Build a world-class process that will allow our systems to scale.
• Mentor other back-end engineers on the team and help them grow.

Qualifications

• Has experience building and owning Data Pipelines to structure, enrich, and aggregate data and generate features with technologies like Spark, Flink, Kafka, Kinesis, etc.
• Leads design reviews and is a driving force to change how data is stored and accessed from the data platform.
• Is familiar with Python, Scala, or Java.
• Has experience with designing database objects and writing relational queries.
• Has experience designing and standing up APIs and services.
• Has experience with system design and building internal tools.
• Can knowledgeably choose an open source or third-party service to accomplish what they need or can devise a quick and simple solution on their own.
• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.
• Is able to meet in person for their team’s scheduled collaboration weeks, traveling if necessary to the hub where their team is based.

Support for you, professionally and personally

• Professional growth:We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback.
• A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture supported by our EAGER (ethical, adaptable, gritty, empathetic, and remarkable) values. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Grammarly Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs. 
• Comprehensive benefits for candidates based in Germany:Grammarly offers all team members competitive pay along with a benefits package encompassing life care (including mental health care and risk benefits) and ample and defined time off. We also offer support to set up a home office, wellness and pet care stipends, learning and development opportunities, and more.

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply. Grammarly is an equal-opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, gender, disability, sexual identity, or age.

For more details about the personal data Grammarly collects during the recruitment process, for what purposes, and how you can address your rights, please see the Grammarly Data Privacy Notice for Candidates here. 

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Grammarly is excited to offer aremote-first hybrid working model. Grammarly team members in this role must be based in the United States or Canada, and, depending on business needs, they must meet in person for collaboration weeks, traveling if necessary to the hub(s) where their team is based.

This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of theFortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 7 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The Opportunity

To achieve our ambitious goals, we’re looking for a Machine Learning Engineer to join our Marketing Technology team. This team is responsible for building systems that empower and enhance the company's marketing efforts and strategies. The person in this role will help shape marketing strategies, improve customer experiences, and optimize marketing campaigns. They will be responsible for leveraging data and advanced algorithms to improve the performance and efficiency of advertising campaigns with the goal of maximizing the return on investment (ROI) for ad spend and delivering targeted ads to the right audience. 

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

As a Lead Machine Learning Engineer of the Growth org, you will transform how ML is applied to solve Growth problems. Your work will directly impact the topline KPIs that Growth team contributes to the overall business. You will lead research and exploration and help establish a robust ML development process for the organization. This is a high-impact role with a direct line of the channel with the area leads and the senior leadership team.

 In this role, you will:

• Drive business impact by building scalable end-to-end machine learning solutions for challenging marketing problems.
• Help Growth EPD and Marketing teams make data-driven decisions.
• Your work will help drive multiple topline KPIs - LTV/CAC, number of activated and retained users, bookings revenue, etc.
• Promote excellence and best practices across the machine learning team in research, implementation, tooling, and system design.
• Work cross-functionally with various teams, including Marketing, Marketing Analytics, Data Science, ML Infrastructure, and Product. 
• Effectively communicate technical machine learning results in a business context where most people are not machine learning experts.

Qualifications

• Has solid software engineering fundamentals, including knowledge of classical algorithms and data structures.
• Has a solid understanding of the principles and best practices of developing software systems on a large scale.
• Has the ability to apply machine learning algorithms to ad optimization tasks effectively.
• Has strong knowledge of probability and statistics.
• Has expertise in Python, its ecosystem, and Python-based ML tools and frameworks.
• Has experience in the Ad Optimization domain, including knowledge of different types of ad channels, multi-channel budget allocation, and key marketing performance metrics. 
• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.
• Is able to meet in person for their team’s scheduled collaboration weeks, traveling if necessary to the hub where their team is based.

Compensation and Benefits

Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more: 

• Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
• Disability and life insurance options
• 401(k) and RRSP matching 
• Paid parental leave
• 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and unlimited sick days 
• Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
• Annual professional development budget and opportunities

Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.

Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future. 

We encourage you to apply

At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).

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​​About the Role:

We're looking for an experienced Principal Data Engineer to join our Data Platform Engineering team. Our team is responsible for enabling H&H business (Product, Analytics, Operations, Finance, Data Science, Machine Learning, Customer Experience, Engineering) by providing a platform with a rich set of data and tools to leverage.

You Will:

• Serve as a technical leader within the Data Platform org. Provide expert guidance and hands-on development of complex engineering problems and projects
• Collaborate with cross-functional stakeholders including product management, engineering, analytics, and key business representatives to align the architecture, vision, and roadmap with stakeholder needs
• Establish guidelines, controls, and processes to make data available for developing scalable data-driven solutions for Analytics and AI
• Create and set best practices for data ingestion, integration, and access patterns to support both real-time and batch-based consumer data needs
• Implement and maintain data governance practices to ensure compliance, data security, and privacy.
• Design and lead development on scalable, high-performance data architecture solutions that supports both the consumer side of the business as well as analytic use cases
• Plan and oversee large-scale and complex technical migrations to new data systems and platforms
• Drive continuous data transformation to minimize technical debt
• Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization
• Define and lead technology proof of concepts to ensure feasibility of new data technology solutions
• Provide technical leadership and mentorship to the members of the team, fostering a culture of technical excellence
• Create comprehensive documentation for design, and processes to support ongoing maintenance and knowledge sharing
• Conduct design reviews to ensure that proposed solutions address platform and stakeholder pain points, as well as meet business, and technical requirements, with alignment to standards and best practices
• Prepare and deliver efficient communications to convey architectural direction and how it aligns with company strategy. Be able to explain the architectural vision and implementation to executives

You Have:

• Bachelor's or Master's degree in Computer Science or equivalent, with over 12 years of Data Architecture and Data Engineering experience, including team leadership
• Proven expertise in designing data platforms for large-scale data and diverse data architectures, including warehouses, lakehouses, and integrated data stores.
• Proficiency and hands-on knowledge in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, data streaming like Kafka, RabbitMQ,
• Hands-on experience and proficiency with data stacks including Airflow, Databricks, and dbt, as well as data stores such as Cassandra, Aurora, and ZooKeeper
• Experience with data security (including PHI and PII), as well as data privacy regulations (CCPA and GDPR)
• Proficient in addressing data-related challenges through analytical problem-solving and aligning data architecture with organizational business goals and objectives
• Exposure to analytics techniques using ML and AI to assist data scientists and analysts in deriving insights from data
• Analytical and problem-solving skills to address data-related challenges and find optimal solutions
• Ability to manage projects effectively, plan tasks, set priorities, and meet deadlines in a fast-paced and ever changing environmen

Nice To Have:

• Experience working in healthcare or in a B2C company

Our Benefits (there are more but here are some highlights):

• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats

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