Location: Remote - Eligible US Locations

About the role and about You:

Are you a talented and motivated Software Engineer looking to make a significant impact at Zwift, both internally and externally? Do you enjoy digging into new and emerging technologies and integrating them with existing tools to solve problems in new ways? Do you thrive in a dynamic environment where your contributions drive measurable business value? If so, we want you on our team at Zwift!

As an experienced technical leader in our software development team, you will be responsible for partnering closely with our Community Support team to design, develop, and launch solutions that will help us provide world-class support to our community of over one million active Zwifters. These Customer Support tools and systems are crucial in ensuring that customers can easily get help on any questions about Zwift, including hardware and subscription purchases to get in the game, and any new products, features, or partnership support in the future. You'll be part of a passionate engineering team with a clear focus on supporting Zwift's customer base and playing a key role in the success of the business, and will work across many of our product, engineering, and infrastructure teams.

Success in this role involves consistently delivering high-quality, maintainable code, and meeting project deadlines. The ideal candidate will effectively collaborate with cross-functional teams, proactively solve complex technical challenges, and continuously seek opportunities for improvement. Additionally, they will contribute to customer satisfaction, take full ownership of their work, bring innovative ideas, and foster positive team dynamics. 

If you’re ready to take your career to the next level, apply today!

What you’ll do:

• Partner closely with stakeholders in Zwift's Community Support organization and related teams to define requirements, build a roadmap, make trade-offs, and deliver end-to-end technical solutions, including the full software development life cycle.
• Identify and recommend improvements in tools and processes which can improve our customers' experience and the efficiency of our Community Support organization.
• Establish a deep understanding of the company's technical architecture and the implications of key technical decisions.
• Write clean, efficient, testable, and maintainable code for both front-end and back-end systems.
• Conduct code reviews and ensure code quality through automated testing (e.g., unit testing, integration testing, and similar).
• Participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives.
• Build and evangelize effective processes to eliminate technical risk and technical debt.
• Participate in on-call support, monitoring, and troubleshooting of all services owned by the team.
• Implement best practices for scalability, maintainability, security, and system performance.
• Lean into industry trends, especially in AI, ML, and LLMs, exploring opportunities to leverage these capabilities in new and innovative ways for Community Support applications.

What we’re looking for:

• Bachelor’s degree in Computer Science, Software Engineering, or similar discipline.
• 8+ years of relevant software engineering experience and 3+ years of full stack web development experience.
• Experience using, configuring and integrating contact center and community support tools, including: 
• Contact Center CRM applications (e.g., Kustomer, Zendesk, Salesforce, Oracle ServiceCloud).
• Automated support deflection tools (e.g. Zoom Virtual Assistant, Kustomer, or similar).
• Knowledge Base systems (e.g., Kustomer, Zendesk, Stonely, Yext)
• Support Voice applications (e.g., AirCall, Talkdesk, Freshcaller, Amazon Connect, Avaya).
• Peer-to-Peer forum moderation tools (e.g., Discourse, PlushForums).
• Social Media Support (e.g., Sprout Social, Hootsuite, etc.).
• Excellent communication skills with both technical and non-technical audiences.
• Demonstrated ability to work with full independence in situations where business problems and technology strategies may not yet be defined.
• Proficiency in front-end technologies and modern web development frameworks (e.g., React, Angular, Vue.js, etc.).
• Strong back-end development skills with experience in languages such as Java, Node.js, Python, or similar.
• Experience with relational and non-relational database technologies.
• Expertise in modern API design, development, and microservice architectures.
• Strong working knowledge of CI/CD pipelines and automated testing frameworks.
• Ability to solve complex problems through breadth of knowledge, influencing others, and focused domain expertise.
• Track record of leading by example in engineering best practices and mentoring other engineers.
• Adaptability and eagerness to learn new technologies as needed.

Bonus points:

• Experience with AI, ML, and LLM systems applied to the customer care domain (e.g. ChatGPT, Claude, Gemini, or similar).
• Experience defining and producing metrics and analytics, and using data analysis and business intelligence tools in data-driven decision making (e.g., Amplitude, Tableau, OpenSearch, or similar).
• Solid working knowledge of cloud-based infrastructure and AWS.
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes, etc.).
• Experience working in Agile development environments (e.g., Scrum, Kanban).
• Experience working with experimentation and feature flag systems (e.g. Optimizely, or similar).
• Experience monitoring community feedback and engaging where appropriate.
• Familiarity with fundamentals of The Effortless Experience.
• Interest in building solutions that support our engaged Zwift Community of cyclists, runners, and fitness enthusiasts.

For All US Based Full-Time Positions:

The base salary for this position ranges between $149,500 to $238,500. The base salary will be based on a number of factors including the role offered, the individual's job-related knowledge, skills, qualifications, and geographic location. In addition to base salary, Zwift is proud to offer a comprehensive and competitive benefits package for all eligible employees which also includes performance bonuses, equity, and a full range of medical, financial, and other perks and benefits.

ABOUT ROCKET MONEY ????

Rocket Money’s mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM ????

From the moment someone first hears about Rocket Money, our team’s code gives users a seamless, valuable, and delightful first interaction with the product. We work closely with product, marketing, and data teams on tools and integrations that help us understand our users and drive favorable business outcomes like increased retention, engagement, and ROAS (return on ad spend).

Some of the things we regularly tackle include:

• Owning the systems that quickly and reliably bring data into the hands of automated systems, ML models, and decision-makers.
• Helping other dev teams understand and leverage our marketing and analytics stacks.
• Integrating a wide range of products to surface insights about user analytics, attribution, engagement, retention, and satisfaction.

ABOUT  YOU????

• You have 2+ years of experience as a full stack software engineer
• You have an entrepreneurial spirit, and are excited to use your technical skills to positively impact business outcomes alongside user privacy and experiences.
• Rather than specializing in one domain, you’re interested in solving a wide range of challenges and learning the technologies that’ll help you do so, from data pipelines to WYSIWYG landing page editors.
• You enjoy working within cross-functional groups spanning marketing, data, and finance.
• You have experience with growth/marketing engineering, working with tools like MMPs (eg Singular), analytics eventing and data engineering (e.g., Segment, GTM/GA, Fivetran), BI tools (e.g., Amplitude, Looker), and/or CRMs (eg Braze).
• You write clean, reliable code across a variety of platforms.

WE OFFER ????

• Health, Dental & Vision Plans
• Competitive Pay
• 401k Matching
• Unlimited PTO
• Lunch daily (in-office only)
• Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $150,000 - $185,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Meet the team:

The TPM (Technical Product Management) team’s mission is to accelerate the delivery of Torc’s product goals, by leveraging our expertise in people, product, and process management. Specifically, theVirtual Driver TPM team partners with Technology, Product, Systems, Safety and others, to develop the core Autonomy software stack, as well as internal tools and processes to accelerate product development. We apply our leadership, product, and project management skills to bring people together across the company to accomplish Torc’s mission. 

What you will do: 

• As a Technical Product Manager, your focusis to translate the top-down corporate strategy and milestones into detailed product roadmaps,timelines and deliverables. As such, you are the centerpieceofProduct Management and Engineering. 
• The Machine Learning Training and Release Factory provides the development environments for training, deploying and testing machine learning models as well asto verify system components against their component and subsystem requirements. As a TPM, you will work with all leaders of the grouptomanageand align technical roadmaps and work with the individual teams on executingthem. 
• As the products of the group are internal, your customers are internal. You are working closely with them to prioritize thegroups'work on their demands. 
• As a TPM within the Virtual Driver product area, you will partner closely withthegroup leadershipto define a vision, strategyand roadmap for the suite of toolsand services the groupis responsible for. 
• Drive the development of solutions by clearly articulating the problem space and empowering engineering to design and implement innovative solutions.
• Be the voice of your internal customers and represent their needs, wants, and pain-points across Autonomy.  
• Work with your team/cross-functional departments to optimize processes to accelerate Torc’s go-to-market strategy.
• Use your technical and project management expertise to identify and mitigate risks and unblock project execution by proactively managing cross-functional dependencies. 

What You Will Need to Succeed

• Demonstrates competences and technical proficiencies typically acquired through:
• BS+ 4+ years of experience OR MS+ 3+ years of experience
• We are looking for a TPM with the experience in one of the following fields:   
  • Leading aroboticsmachine learning team throughagile development.
  • Product Owner of a robotics development team.
  • Experience withdata driven machine learning pipelining 
  • Knowledge ofmachine learning deployment.
  • Verification of ROS components in a robotics or autonomous driving context 
• Strong experience in project management; practical familiarity with both Agile and Waterfall methodologies and ability to apply them where best suited.
• Solid technical aptitude and an ability to understand technical designs, software development lifecycle, challenges and risks; ability to work closely with engineers.
• Strong written and verbal communication skills with the ability to adjust communication based on audience. 
• Independence and confidence, the ability to understand technical needs of your customers and the ability to say no. 

Bonus Points!

• Training in Product and/or Program Management
• Experience in the automotive or heavy-vehicle industry
• Experience with Jira and Confluence 

Perks of Being a Full-time Torc’r

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:  

• A competitive compensation package that includes a bonus component and stock options
• 100% paid medical, dental, and vision premiums for full-time employees  
• 401K plan with a 6% employer match
• Flexibility in schedule and generous paid vacation (available immediately after start date)
• Company-wide holiday office closures
• AD+D and Life Insurance 

Grammarly offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.

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’re looking for a Software Engineer to join our Data Platform team and help us build a world-class data platform. Grammarly’s success depends on its ability to efficiently ingest over 60 billion daily events while using our systems to improve our product. This role is a unique opportunity to experience all aspects of building complex software systems: contributing to the strategy, defining the architecture, and building and shipping to production.

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.

We are seeking a highly skilled and experienced Manager for our Data Platform team to achieve our ambitious objectives. This role is crucial in managing and evolving our data infrastructure, engineering, and governance processes to support modern machine learning (ML) use cases, self-serve analytics, and data policy management across the organization. The ideal candidate will possess strong technical expertise, exceptional leadership abilities, and the capability to mentor and develop a high-performing team that operates across data infrastructure, engineering, and governance.

This person will be integral to the larger data organization, reporting directly to the Director of Data Platform. They will have the opportunity to influence decisions and the direction of our overall data platform, including data processing, infrastructure, data governance, and analytics engineering. 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.

As the Data Platform team manager, you will lead and mentor a team of data engineers, infrastructure engineers, and data governance specialists, fostering a collaborative and innovative environment focused on professional growth. You will oversee the design, implementation, and maintenance of secure, scalable, and optimized data platforms, ensuring high performance and reliability. Your role includes developing and executing strategic roadmaps aligned with business objectives and collaborating closely with cross-functional teams and the larger data organization to ensure seamless data integration, governance, and access. Additionally, you will provide technical leadership and play a pivotal role in resource management and recruiting efforts, driving the team’s success and aligning with the organization’s long-term data strategy.

In this role, you will:

• Build a highly specialized data platform team to support the growing needs and complexity of our product, business, and ML organizations.
• Oversee the design, implementation, and maintenance of a robust data infrastructure, ensuring high availability and reliability across ingestion, processing, and storage layers.
• Lead the development of frameworks and tooling that enable self-serve analytics, policy management, and seamless data governance across the organization.
• Ensure data is collected, transformed, and stored efficiently to support real-time, batch processing, and machine learning needs.
• Act as a liaison between the Data Platform team and the broader organization, ensuring seamless communication, collaboration, and alignment with global data strategies.
• Drive cross-functional meetings and initiatives to represent the Data Platform team’s interests and contribute to the organization’s overall data strategy, ensuring ML and analytics use cases are adequately supported.
• Drive the evaluation, selection, and implementation of new technologies and tools that enhance the team’s capabilities and improve the organization’s overall data infrastructure and governance processes.
• Implement and enforce data governance policies and practices to ensure data quality, privacy, security, and compliance with organizational standards.
• Collaborate with stakeholders to define and refine data governance policies that align with business objectives and facilitate discoverability and accessibility of high-quality data.
• Monitor and assess the data platform's performance to identify areas for optimization, cost management, and continuous improvement.
• Foster a collaborative and high-performance culture within the team, emphasizing ownership and innovation.
• Cultivate an ownership mindset and culture across product and platform teams by providing necessary metrics to drive informed decisions and continuous improvement.
• Set high performance and quality standards, coaching team members to meet them, and mentoring and growing junior and senior IC talent.

Qualifications

• 7+ years of experience in data engineering, infrastructure & governance, with at least 2-3 years in a leadership or management role.
• Proven experience in building and managing large-scale data platforms, including data ingestion pipelines and infrastructure.
• Experience with cloud platforms and data ecosystems such as AWS, GCP, Azure, and Databricks.
• Familiarity with modern data engineering and orchestration tools and frameworks (e.g., Apache Kafka, Airflow, DBT, Spark).
• Strong understanding of data governance frameworks, policy management, and self-serve analytics platforms.
• Excellent leadership and people management skills, with a track record of mentoring and developing high-performing teams.
• Experience working with geographically distributed teams and aligning with global data and governance strategies.
• Strong problem-solving skills, with the ability to navigate and resolve complex technical challenges.
• Excellent communication and collaboration skills, with the ability to work effectively with stakeholders across different locations and time zones.
• Proven ability to operate in a fast-paced, dynamic environment where things change quickly.
• Leads by setting well-understood goals and sharing the appropriate level of context for maximum autonomy, but is also profoundly technical and can dive in to help when necessary.
• Embodies our EAGER values—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.

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 flexible sick time
• 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 to apply—especially those whose identities are traditionally underrepresented in tech organizations. 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).

ABOUT THE ROLE

Galileo is looking for a Senior Product Manager to lead our patient experience team and build an engaging and streamlined acquisition and retention platform that improves healthcare quality and experience for all. Specifically, this product manager will own the strategy and execution of our iOS and Android patient-facing mobile applications and the web-based patient platform. The patient-facing user journey is a critical, high-impact, and high-visibility part of the Galileo product suite. 

What you’ll do

• Be relentlessly focused on creating products and capabilities that deliver a human-centric, innovative patient experience and leverage for clinicians over time 
• Act as the product owner, developing business cases, vetting opportunities, and ensuring work is prioritized in a logical way that meets the needs of the business and our patients
• Define core product metrics and collaborate with partner teams to ensure data logging and monitoring – this position will have a data-centric mindset that cares deeply about understanding the performance of its products 
• Work in close partnership with Data, Engineering, and Design to define product requirements and design considerations for all patient products 
• Participate in the agile software process including sprint planning, refinement, and retrospectives – with an eye on empowering your team to deliver high-quality work and continually improve
• Develop a deep understanding of our members to architect a cohesive, engaging, and supportive patient experience 

We’re eager to hear from you if:

• You have 5-8 years of in-role experience as a product manager 
• You have experience creating patient-facing products in a health-tech company. Additionally, fluency with ML-based product development is a plus
• You have experience with mobile application delivery through the Apple App Store and Google Play and mobile beta testing platforms, such as TestFlight
• You have analytical process improvement skills and aren’t afraid to roll up your sleeves in the spirit of optimization
• You’ve leveraged product analytics tools such as Mixpanel, Google Analytics, or Looker – and have demonstrated an ability for data-driven decision-making based on those insights
• You’re highly proficient with cross-functional collaboration and communication. You have a strong orientation toward problem-solving and decision-making in an open, collaborative environment and focus on making decisions that benefit our patients and the organization as a whole
• You’ve got a true ownership mindset regarding outcomes of what you build (successes and failures), as well as high standards for design and usability
• You are goal-driven, detail-oriented, and highly organized.
• You understand that the best ideas can come from anywhere and you foster a culture of innovation that leads to the best products and attracts the best team.
• You anticipate roadblocks and drive toward collaborative solutions to unblock your team. 
• You ruthlessly prioritize in collaboration with cross-functional peers. You balance quick wins with long-term platform investments appropriately. You know how to sequence projects and cut the ones that aren’t making an impact.
• You have a demonstrated track record of owning and maintaining a clear, prioritized backlog for the engineering team.

COMPENSATION RANGE:  

$195,000 + equity 

 BENEFITS

• Medical / Dental / Vision insurance
• Flexible Spending Account
• Health Savings Account + match
• Company paid STD/LTD, AD&D, and Life insurance
• Paid Family Leave
• 401K + match
• Paid Time Off

OVERVIEW

Instacart’s core product is grocery delivery. Grocery delivery relies on high quality shoppers picking, paying for, and delivering grocery orders to customers. The Shopper team builds the technology to power each of these steps with the Engagement team focusing on helping shoppers find meaningful, rewarding, and fair work opportunities to put money in their pockets and deliver top shelf service for customers.

ABOUT THE JOB

You would be responsible for driving Engagement data science work which includes:

1. Product strategy: Using data to identify the most promising opportunity areas along with contributing data expertise to refine and develop new product ideas
2. Impact sizing: Providing an estimated impact of implementing a new feature
3. Impact measurement: Running an experiment to determine the actual impact of newly launched product features
4. Intelligent systems: Improving a product feature by adding intelligent functionality to the product that relies on data science methods including statistical and machine learning methods

The two most important responsibility areas of this role are product strategy and intelligent systems.

Product strategy: The best products are built with diversity of thought. Data scientists uniquely understand the available data, the business domain, and the advanced methods that can be applied to the data to drive the desired business outcome. There are two primary methods data scientists would add value in product strategy:

1. Clearly articulate the right problem to solve to the team by providing a data-driven understanding of the problem area with the team as well as convincing the team of the most promising opportunity areas within the problem space
2. Contribute product ideas that leverage intelligent systems to solve the problems identified while collaborating closely with product, research, design, and engineering teams on the overall solution.

Intelligent systems: Intelligent systems make products smarter by combining deep domain expertise with advanced statistical or ML approaches. Data scientists are uniquely positioned to combine their understanding of the domain and advanced statistical methods to rapidly iterate on different approaches to building an intelligent system to solve an ambiguous problem. They would invest time in creating the initial version of the intelligent systems while partnering with MLEs and SWEs to maximize the impact, scalability, and maintainability of the system.

The role requires strong XFN collaboration where an ideal candidate can:

1. Drive critical efforts to completion with little oversight, while occasionally jumping into roles adjacent to data science (i.e. data engineering, machine learning engineer, etc).
2. Bring new ideas to the team that get incorporated into the product roadmap
3. Ruthlessly prioritize among requests from multiple competing stakeholders
4. Act as a senior cross-functional leader of the team, aligning the team on principles, processes and goals, and mentoring junior colleagues

About the Team

You will be joining a growing data science team and will tackle some of the most challenging and impactful problems that are transforming how people buy groceries every day. You will be embedded within our data-driven product team as a trusted partner in uncovering barriers in the product’s usability and utilize these insights to inform product improvements that drive angle-changing growth. We’re looking for a self-driven, strategic thinker who can hit the ground running to ultimately influence decision-making across the entire organization.

ABOUT YOU

Minimum Qualifications

• 6+ years of work experience in a data science or related field
• Led a team to adopt at least one new metric with which to measure the performance of the team
• Ran several sophisticated A/B tests at a company
• Built a machine learning or statistical model that made its way into production even if the code you wrote was completely rewritten before being deployed
• Experience with Python (pandas), SQL, git, and Jupyter notebooks

Preferred Qualifications

• 8+ years of work experience in a data science or related field
• Led a cross-functional team to design a system of metrics that connected the business strategy to a set of core metrics and assigned ownership of those metrics to the team
• Significant causal experimentation experience in environments with small sample sizes  
• Built a complex machine learning or statistical model and deployed/supported it in production
• Experience with Python (pandas; scikit-learn, statsmodels, or PyTorch; a visualization library that is not matplotlib; a web framework such as flask), SQL (Snowflake), git, Jupyter notebooks

*This position can be remote within the US*

Who we are...

In a world of constant change, we're leading the charge towards truly autonomous enterprises. Our cutting-edge platform harnesses the power of automation and generative AI to revolutionize how businesses manage and optimize their IT operations.

We're not just adapting to digital transformation—we're accelerating it. Our solutions bring business and operations leaders together, unlocking new levels of innovation, efficiency, and scalability. We empower organizations to deliver superior customer experiences and drive revenue growth in an always-on, always-mobile world.

At ScienceLogic, we're building the foundation for Autonomic IT—a future where IT operations are self-healing, self-optimizing, and aligned perfectly with business objectives. Our team of visionaries is reshaping the $18+ billion IT operations market, creating cost-optimized, efficient, and next-level capabilities for enterprises worldwide.

What we’re looking for…

The ScienceLogic SL1 product has been recognized as an industry leader in the emerging space of AIOps – technologies that leverage ML-based insights to deliver increasingly autonomous, self-healing IT services. We’re looking for a world-class product leader to take the reins of the flagship SL1 product – and evolve it to meet the needs of current and future enterprise customers for the next decade. Successful candidates will possess exemplary technical depth, IT domain expertise, and a passion for product and engineering excellence - as well as a proven track record for delivering modern, cloud-based enterprise services. The VP Product will report to the CPO and have primary responsibility for guiding the strategy and delivery of SL1.

What you'll be doing...

• Define the strategic direction for ScienceLogic SL1 – core platform as well as UI/UX – including technologies around collection/ingestion, transport, data model and storage, programming interface, and runtime architecture (container-based microservices).
• Lead and grow a team of high-performance engineers and product managers. Ensure efficiency and predictability of execution through clear accountability, goals, standards, and metrics.
• Develop strong partnerships with global sales, marketing, and engineering teams to create products that deliver on the company’s revenue, margin and broader business objectives.
• Reinforce a culture composed of accountability, customer-focus, and passion for excellence.
• Work with the CPO, executive/senior leadership team, and other stakeholders to ensure alignment of high value projects to revenue generation and business objectives.
• Manage capacity, capability, and availability to ensure resource allocation meets aggressive growth business commitments. Communicate plans and roadmaps to all constituents on a timely basis.
• Mentor and coach the product teams on developing a culture of product innovation.

Qualities you possess...

• Advanced degree in technical/business discipline and 15+ years product and technology leadership experience.
• Experience with the ITOM, ITSM, and/or related infrastructure monitoring technologies/products.
• Extensive experience and industry knowledge with large-scale cloud architecture, AI/ML, application, network infrastructure and data center management software.
• Proven ability to lead and manage cross-functional geographically distributed teams in Product Management and/or Engineering.
• Solid understanding of best practices in platform engineering – delivering well-factored services, with clean separation of concern, and comprehensive programmability model.
• Track record of bringing new products to market on-time and on-budget in order to achieve market success.
• Operational familiarity with next generation SDLC methodologies – Agile, CI/CD, DevOps, etc.
• Outstanding business judgment, interpersonal, collaboration and team building skills.
• Experience and credibility in communicating with executive team and board of directors.
• Strong track record of presenting technology and displaying thought leadership both internally and externally to industry groups, partners and customers.
• Superb written and verbal communication skills and a demonstrated ability to collaborate across multiple functions and geographies while delivering meaningful, high-impact results Thought leader, ability to influence outcomes and quickly turn data into business insights
• Strong mentoring competencies and core values.

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

ScienceLogic empowers intelligent, automated IT operations, freeing up time and resources, and driving business outcomes with actionable insights. ScienceLogic’s AIOps platform sees broadly across clouds and on-premises, enabling business service visibility with relationship mapping, and workflow automation to eliminate manual tasks. Trusted by thousands of organizations across the globe, ScienceLogic’s technology has been proven for scale by the world’s largest service providers, enterprises and government agencies.

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

Location:Working from home office in Brazil

Work Status:CLT- Podium has an entity in Brazil!

The Role:

Podium is looking for a talented Senior Backend Python Engineer with an interest in building agentic applications using large language models (LLMs). In this role, you will be joining a team of engineers tasked with empowering local businesses by creating AI agents that efficiently handle customer interactions to optimize operations and reclaim valuable time. If you are passionate about tackling complex challenges, thrive in a fast-paced, iterative environment, and have a knack for breaking down intricate problems, we think you’ll be a great fit.

What you will be doing:

• Develop and deploy advanced agentic applications powered by large language models to help local businesses automate interactions and manage leads.
• Drive the entire lifecycle of AI agent development, from conception and design to implementation and maintenance.
• Engage in rapid prototyping and iterative development to refine AI solutions based on real-world performance and feedback.
• Implement monitoring and evaluation systems to track the effectiveness of AI agents in production, ensuring high reliability and user satisfaction.
• Contribute to a culture of innovation by staying current with industry trends in generative AI and applying cutting-edge research to practical business solutions.

What you should have:

• 5+ years of hands-on programming experience with at least one modern language such as Python, Go, or Elixir.
• Hands-on experience training, fine-tuning, and/or deploying LLM applications in production environments.
• Strong analytical and problem-solving skills, with a proven ability to decompose complex issues and drive innovation in a highly iterative development process.
• Excellent communication skills and the ability to work effectively in a team setting.
• Ability to solve ambiguous problems and thrive in a fast-paced environment.

What we hope you have:

• 5+ years of experience contributing to the architecture and design of large-scale distributed systems and/or ML systems and tools.
• Proficiency in Python, with a track record of developing AI-driven applications using this language.
• Exceptional writing abilities with the capacity to craft and optimize prompts for generative AI models.
• Experience with deploying, monitoring, debugging, and evaluating AI agents in production environments is a huge bonus.
• Knowledge of machine learning operations (MLOps) practices.

BENEFITS

• Open and transparent culture
• Remote-first work for Engineering & Product
• Generous vacation time, plus Brazilian national holidays off
• Competitive salary, CLT contract
• Meal ticket
• Corporate Gympass membership
• Medical and odontologic assistance
• Growth and aggressive career plan
• Bi-annual swag drops with cool Podium gear and apparel

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

????London/Cardiff/UK Remote | ???? £135,000-165,000 + Benefits | Hear from the team ✨

⭐About Ops Data:

Our Operations Data team consists of over 35 people across 4 data specialisms: Analytics Engineers, Data Analysts, Machine Learning Scientists and Data Scientists.

In our Operations Collective you'll have the opportunity to embed into an area that is the heart of how we work with our customers’ problems - and is full of data challenges. Machine Learning supports all aspects of Operations, from workforce planning, to customer support experience, to enabling teams to work effectively and efficiently.

????You’ll play a key role by...

As a Senior Lead ML Scientist, you’ll be on of the most senior Individual Contributors (IC) in the organisation, giving you a real opportunity to lead us into an exciting new phase of optimising Customer Operations, enabling us to craft a world-class support experience for over 9 million customers across the UK, and beyond as we continue to grow. 

You’ll provide key technical leadership and ship highly impactful ML-based solutions. You’ll be empowered to work across the collective identifying the most impactful areas and pushing solution development forward while mentoring and levelling up less experienced ML practitioners. You’ll also impact how people across Monzo use ML tools to improve customer outcomes, including LLMs, which have their heaviest use within the Operations team.

Machine Learning Scientists at Monzo work end to end, so you’ll have the opportunity to collaborate across not only the data disciple, but with cross-functional squads, to deliver real-time models all the way to actual value

????We’d love to hear from you if…
What we’re doing here at Monzo excites you!

• You have a multiple year track record of excellence leading the technical work of a team in the development and deployment of advanced Machine Learning models tackling real business problems, preferably in a fast moving tech company
• You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You have a solid grounding in SQL and Python, are comfortable using them every day, and keen to learn Go lang which is used in many of our microservices 
• You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact
• You are comfortable exploring potentially ambiguous business problems within a complex and rapidly growing organisation
• You're excited about the potential of machine learning and can communicate those ideas to colleagues who are not familiar with the domain
• You’re adaptable, curious and enjoy learning new technologies and ideas
• You have experience in, and a passion for, mentoring other ML practitioners, sharing knowledge and raising the technical bar across the team
• You’re comfortable moving across teams within a larger organisation, optimising for where you can be most impactful and tracking multiple projects at once

Nice to haves:

• Experience working within large Customer Support and internal product spaces
• Experience with NLP tasks
• You have commercial experience writing critical production code and working with microservices

????What’s in it for you

✈️ We’ll help you relocate to the UK. 

✅ We can sponsor your visa.

????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, and at times that suit you and your team. 

????£1,000 learning budget each year to use on books, training courses and conferences.

????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. 

➕ Plus lots more! Read our full list of benefits.

????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 
• 1 take home task 
• 3 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

We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. 

#LI-REMOTE #LI-NJ1

Grammarly team members in this role must be based in San Francisco, and they must be able to collaborate in person at least 2 weeks per quarter, traveling if necessary to the hub(s) where the 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.

To achieve our ambitious goals, we’re looking for a Software Engineer to join our Data Platform team and help us build a world-class data platform. Grammarly’s success depends on its ability to efficiently ingest over 60 billion daily events while using our systems to improve our product. This role is a unique opportunity to experience all aspects of building complex software systems: contributing to the strategy, defining the architecture, and building and shipping to production.

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 Software Engineer on the Data Platform team, you will contribute to building the scalable, secure, and efficient data systems that power our entire organization. You’ll work on designing and implementing critical data infrastructure and systems that enable real-time and batch processing, data analytics, and machine learning workflows. This role offers the opportunity to rapidly grow your data engineering and back-end infrastructure skills while working alongside experienced engineers.

You will be able to work with cutting-edge technologies and tools, contributing to projects that handle large-scale data pipelines, build secure and compliant data systems, and improve our data platform’s performance and scalability. In this role, you will:

• Build and maintain key components of the data platform, including data pipelines and infrastructure for data storage, processing, and delivery.
• Learn and apply concepts in data engineering, such as distributed data processing, real-time data streams, and batch processing.
• Work with technologies like Spark, Kafka, SQL, and cloud platforms (AWS) to deliver scalable and reliable data systems.
• Collaborate with cross-functional teams, including data scientists, ML engineers, and back-end developers, to help build data-driven solutions and tools.
• Ensure that systems are scalable and performant, contributing to the overall reliability and efficiency of the data platform.

Qualifications

• Has 2-5 years of software engineering experience, with an aptitude for data infrastructure or data engineering.
• Is a fast learner who is eager to develop their skills in building large-scale distributed systems and data platforms.
• Has experience with some of the following: Python, Java, Scala, SQL, or cloud technologies (AWS, GCP, Azure).
• (Preferably) understands basic data concepts such as data pipelines, ETL processes, and real-time/batch data processing.
• Is familiar with data technologies like Spark, Kafka, Kinesis, or similar tools, and is interested in expanding their knowledge in these areas.
• Has strong problem-solving skills and is passionate about learning how to build and scale data systems.
• 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.

For more information about our compensation zones and locations where we currently support employment, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information. 

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. 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).

About the Role:

Bloomreach is solving one of the digital world’s most fundamental problems: helping people instantly find what they need when they need it. We are seeking a Senior Software Engineerto join our Search Intelligence team, who will play a crucial role in advancing our search and personalization capabilities. The team focuses on designing, building, and enhancing semantic understanding, query parsing and processing, and language modeling within the search system. Your contributions will include the development of new recall and ranking search algorithms, as well as the implementation of machine learning and LLM models to optimize the digital experience for commerce. You will be responsible for designing and architecting core components for new features, aiming to improve the performance of existing high-traffic, highly available search APIs. You will be at the forefront of developing innovative solutions to enhance search capabilities, utilizing cutting-edge technologies to ensure users can instantly access what they need. This role offers an exciting opportunity to contribute to the core of our product, applying your expertise to improve search functionalities and redefine the digital shopping experience.

What you'll do:

• Design and implement recall and ranking search algorithms, leveraging the latest LLM models to optimize the digital experience for commerce
• Build, maintain, and scale data processing pipelines for Search in an efficient and reliable way
• Partner with the Product team to understand requirements and use cases, Lead and engage cross-functional engineering teams to plan and drive end to end execution of projects
• Participate in lean and agile development process in an automation- and monitoring-driven environment, from planning, scoping, estimation all the way to optimization, maintenance, and support
• Acquire proficiency and apply GenAI/LLM technologies to enhance search relevance, ultimately boosting revenue for Bloomreach customers
• Steward an extremely high bar of technical excellence for the company to drive innovation in the search and personalization space

What you'll need:

• Bachelor's or Master's degree in Computer Science or related fields.
• 4+ years of hands-on experience in Java or another object-oriented language, working with cloud providers (AWS, GCP) and building enterprise software products.
• Experience with open source search engines (Solr, ElasticSearch) as well as big data and large-scale data processing technologies (Hadoop, Spark, Kafka).
• Proven track record in developing and maintaining distributed systems at scale in a production environment.
• Extensive background in data structures and algorithms with strong software architecture skills.
• Familiarity with the machine learning algorithms and tools, and keen interest for staying up-to-date with the latest advancements in search/GenAI/LLM  technologies, and related fields.
• Experience working with Data Science teams to implement ML models in real-time serving is a plus.
• Startup experience in a fast-paced growth company is highly desirable but not required.

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

The base salary range for this position is $135,000-$185,000. The pay range actually offered will take into account a variety of potential factors considered in compensation, including but not limited to skills, qualifications, geographic location, accomplishments, experience, credentials, internal equity and business needs, and may vary from the range listed above.

Regional benefits:

• Health care including medical, dental, and vision insurance
• 401k plan with employer contribution