Strava

Business Analyst

• Act as a go-to analytical expert for our User Lifecycle team, driving user engagement, retention and subscription growth.
• Advise business partners on A/B test design and interpretation while upholding experimentation best practices.
• Evaluate data tracking and quality on product surfaces, and collaborate with engineers to implement solutions where needed.
• Provide the 'source of truth' for internal consumers by owning critical analytical reporting (e.g. active users, retention rates).
• Own end-to-end data solutions including: data instrumentation, ETL and modeling and developing dashboards.
• Proactively surface trends and insights, quantify the impact, and translate them into clear actions for stakeholders.
• Analyze data to uncover insights that deepen understanding of the user journey.
• Collaborate with the rest of the data organization at Strava (Machine Learning, Data Platform, etc.) to collectively improve our technological craftsmanship.

Senior Business Analyst

Product Designer

• In partnership with stakeholders and the research team, you will Identify, prioritize, and lead research roadmaps that have a tangible impact on company and product strategy, user satisfaction and business outcomes.
• Lead high-visibility research projects, collaborating closely with cross functional partners such as Design, Product Management, Data Science, Engineering, Data Science, Marketing, etc.
• Identify best opportunities and practices for socialization of research insights, and forge high-trust relationships with colleagues, fostering collaboration and innovation. By doing so, you influence cross functional partners to act on research insights by providing clear, actionable recommendations and relevant business context.
• Embrace diversity of perspective yet have a strong point of view that can cut through the clutter.

Senior UX/Product Researcher – User Lifecycle

Machine Learning Engineer

• Build for a Well Loved Consumer Product: Work at the intersection of AI and fitness to launch and optimize product experiences that will be used by tens of millions of active people worldwide
• Craft End to End AI Systems: Contribute to projects powered by ML on the Strava platform end-to-end, from initial model prototyping to shipping production code to scaling and optimizing inference and deployment
• Shape AI at Strava: Bring your voice and creativity to a highly collaborative team with a range of experience levels. Work across teams to deploy ML solutions in multiple surfaces and build out our technical ML capabilities.
• Innovate in AI for Fitness: Design and develop novel models and methodologies to take on novel problems that improve athlete experience, including recommendation systems, activity prediction, and personalized insights.
• Build from a rich dataset: Explore and use Strava’s extensive unique fitness and geo datasets from millions of users to extract actionable insights, inform product decisions, and optimize existing features

Account Manager

• Develop the Account Management function and team in North America
• Manage North America Account Managers and establish standards and frameworks for the AM function
• Lead a portfolio of strategic partners while coaching and developing your team
• Drive partner success, revenue growth, and long-term value across Strava's partnerships
• Collaborate with commercial leadership to shape AM function's future structure

Lead, Account Management – Strava for Business

Engineering Manager

• Own the technical roadmap for Strava's identity platform
• Design and scale a unified identity foundation
• Architect, build, and maintain secure authorization systems
• Collaborate with Product, Security, Trust & Safety, and Legal
• Establish engineering best practices
• Build consistency across platforms
• Influence long-term technical strategy

Engineering Manager, Identity Platform

Backend Engineer

• Grow your expertise, working with experienced engineers on distributed systems, event streaming, and communications infrastructure at scale
• Drive measurable impact, building features that enable Marketing campaigns and product experiments that reach millions of athletes
• Own your work end-to-end, building capabilities from design to implementation to production deployment and monitoring.
• Grow your platform engineering skills, building reusable capabilities rather than one-off solutions

Server Engineer – Comms, Experimentation

Android Engineer

• Own Android on the Subscriptions team — set the technical direction and ship features that reach millions of athletes
• Accelerate Strava’s Subscription growth through lifecycle experimentation on upsells, checkout and more
• Maintain and advance our Google Play Billing integration, ensuring business-critical flows are stable and consistent
• Work closely with product and design to ship polished features in small, deliberate increments
• Mentor engineers through code reviews and pair programming, and set the bar for Android quality across the company
• Use the latest AI tools to find faster, smarter ways to build and ship software

Senior Android Engineer, Subscriptions

Platform Engineer

• Own End to End Systems: Drive key projects to power AI/ML at Strava end-to-end from gathering stakeholders requirements to ground up developer to driving adoption and optimizing the experience
• Interact with a Rich and Large Dataset: Explore and help leverage Strava’s extensive unique fitness and geo datasets from millions of users to extract actionable insights, inform product decisions, and optimize existing features
• Contribute to a Well Loved Consumer Product: Work at the intersection of AI and fitness to help launch and maintain product experiences that will be used by tens of millions of active people worldwide

Senior Machine Learning Platform Engineer

People Operations

• Design and deliver foundational development experiences across Strava, including manager training, inclusive practices, interviewer training, and role-based enablement.
• Lead the evolution of Strava’s manager development ecosystem (e.g., Manager 101, Find Your Stride), ensuring managers are equipped with practical tools they can apply immediately.
• Own and continuously improve learning and enablement embedded within onboarding—helping new hires understand expectations, ways of working, and what success looks like at Strava.
• Build and maintain a clear, accessible learning framework that helps employees understand how to grow and succeed at Strava.
• Partner with People Business Partners and People Operations to analyze engagement data, onboarding feedback, and lifecycle insights to inform targeted learning interventions and support.
• Use data (engagement surveys, pulse surveys, participation metrics, qualitative feedback) to shape priorities and iterate on programs over time.
• Support company-wide change and enablement efforts by developing learning and communication assets that help employees navigate new tools, processes, and expectations.
• Collaborate cross-functionally to ensure learning programs are inclusive, scalable, and aligned with Strava’s values and culture.

Senior People Programs – Development Manager

• Lead high-visibility research projects, collaborating closely with cross-functional partners such as Design, Product Management, Data Science, Engineering, Marketing, etc.
• Identify best practices and opportunities for socialization of research insights, and forge high-trust relationships with colleagues, fostering collaboration and innovation.
• Influence cross functional partners to act on research insights by providing clear, actionable recommendations and relevant business context.
• Identify, prioritize, and lead research roadmaps that have a tangible impact on company and product strategy, user satisfaction and business outcomes.

Senior UX/Product Researcher – Progress Tracking, User Engagement

Data Engineer

• Collaborate with people across teams and functions that hold deep curiosity for data.
• Work with hefty data systems at the global scale of Strava.
• Deliver value more through software, leaning into tooling and automation rather than repetitive toil.
• Grow your expertise in the steadily evolving technologies and ecosystem of data.

Senior Software Engineer, Data Platform

• Develop and sustain shared platform tools, frameworks, and infrastructure to support fast, secure development across various languages and runtimes (e.g. Go, Python, JavaScript, Scala, etc.).
• Reduce friction and boost velocity in developer workflows using code generation, templating, deployment pipelines, and shared libraries.
• Define, document, standardize, and enable guidelines for service platform usage and governance.
• Evaluate, integrate, or build developer infrastructure tools, such as CI/CD, deployment automation, monitoring/alerting, and, internal dashboards.
• Mentor other engineers, provide guidance and support, help incorporate feedback from across the org, and foster a culture of shared ownership and collaboration.

Senior Server Engineer I – Platform and Dev Productivity

Security Engineer

• Drive end-to-end delivery of multi-quarter security initiatives—such as IAM upgrades, vulnerability-management improvements, compliance readiness efforts, and security architecture changes—from proposal through launch, operational rollout, and post-launch optimization.
• Coordinate execution across Engineering, IT, Product, Legal, and GRC, serving as the central point of alignment across time zones to remove ambiguity, streamline decision-making, and maintain forward momentum.
• Own program communications, producing clear status updates, designing and pulling key metrics, executive briefings, risk logs, and decision records to ensure stakeholders at all levels have timely, actionable visibility.
• Identify and mitigate risks early by conducting structured dependency, resourcing, and requirements assessments; evaluate whether technical implementation plans meet security, compliance, and business objectives.
• Serve as the escalation channel for delivery risks, blockers, and cross-team conflicts, ensuring issues are triaged and resolved rapidly.
• Implement and maintain tooling workflows in Jira, Confluence, Airtable, and related platforms to support roadmap tracking, milestone management, capacity planning, and documentation quality.

Senior Technical Program Manager, Security

Full-stack Engineer

• Design, build, and modernize an internal admin portal that enables Strava developers, sales, and support teams.
• Develop and maintain shared platform services, frameworks, and infrastructure to support multiple languages and runtimes (Go, Python, JavaScript, Scala).
• Move common actions to the cloud, reducing friction from developer machines.
• Improve internal systems, including license management, feature flags, and admin workflows.
• Break down monolithic tools into smaller, manageable, and maintainable components.
• Explore AI-driven tools to enhance productivity, security, and internal workflows.
• Ensure internal tools follow best practices for security, privacy, observability, and compliance.
• Drive adoption, standardization, and enablement, mentoring engineers and fostering cross-team collaboration.
• Evaluate, integrate, or build developer infrastructure tooling, including CI/CD pipelines, deployment automation, monitoring, alerting, and dashboards for internal teams.

Senior Engineer II, Internal Platform

iOS Engineer

• Own iOS on Strava for Business — set the technical direction and ship features that reach millions of athletes
• Build and improve the Challenges product alongside the top brands in the world, including new capabilities nobody's tried
• Work closely with product and design to ship polished features in small, deliberate increments
• Mentor engineers through code reviews and pair programming, and set the bar for iOS quality on across the company
• Use AI tools to find faster, smarter ways to build and ship software