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Salary
≈ $43k – $98k per year (Estimated)
Location
Remote (Spain)
Seniority
Senior · 7+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 6, 2026. First seen by Alion on Oct 6, 2026.

Overview
Company
Impact
Profile match
LocalStack streamlines your feedback loop, bringing the cloud directly to your laptop. Same production behavior. Faster feedback. Fully under your control.
Backed by Notable Capital

LocalStack - the Local Cloud Sandbox for Developers and AI Agents

We are a fast-growing Series A startup building cutting-edge technology to revolutionize cloud development processes and support highly efficient dev&test feedback loops. We’ve closed our last $25mil round in Q4 2024, led by Notable Capital, CRV and Heavybit.

LocalStack is a local cloud development platform. LocalStack makes it easier, faster, and less expensive for software teams to ship reliable, high-quality applications to the cloud.

The cloud was built to run software, not to support AI-native development workflows. As the world's leading local cloud development platform, LocalStack provides secure local sandboxes that simulate cloud environments, enabling AI agents and software developers to find and fix risks faster and more effectively than they can in the cloud.

Our customer base ranges from SMBs to Global Fortune 500 companies. Our clients include companies like NASA, Harness, IBM, Workday, Comcast, Apple, 3M, Block and many more.

We are sustainably growing our globally distributed teams across GTM, operations and engineering. In 2025 we almost doubled in size and continue to grow across all areas in 2026.

LocalStack is headquartered in Zurich/Switzerland , with a small engineering office in Vienna/Austria and remote team members from 25 countries including the US, FR, UK, CA, ES, and many more!

Check our Notion Candidate Handbook and our GitHub!

About the role

Data is highly valued at LocalStack, and this role is an opportunity to shape our product analytics strategy as we scale. You’ll connect fragmented data and user identities across the Emulator, CLI, VS Code extension, web app and docs, using rich product telemetry to understand how behaviour drives conversion, expansion and churn. You’ll help define what we build versus buy, establish better product analytics foundations, and turn usage data into insights that inform pricing, packaging and growth decisions. You’ll work closely with highly technical teams and have significant ownership in shaping how product analytics, data tooling and AI-assisted ways of working evolve at LocalStack.

We Expect you to accomplish in this role:

  • Build and evangelise product analytics foundations, delivering actionable insight for GTM, Finance, Marketing, Product and Engineering teams on how the product is being bought and used (across PLG and SLG channels)

  • Connect the user journey across the Emulator, CLI, VS Code extension, console, docs site, website, offering a 360 degree customer view view into customer behaviour (for all types: human, CI, AI agent) and composites (e.g. human + AI)

  • Translate complex datasets into clear insights with strategic recommendations that drive measurable actions and outcomes that impact the product success

  • Understand how data currently flows at LocalStack and work with technical teams to develop enrichment to deliver the product analytics vision

  • Develop insights that prove out the value proposition / ROI for customers in collaboration with customers and customer facing teams

Specialist Skills/ Experience

  • 7+ years in data analytics role with a strong focus on product analytics

  • Experience modelling a unified system, showcasing architecture level thinking

  • Strong experience with complex SQL and ideally programming languages such as Python.

  • Experience with web and product analytics tools such as Posthog, GA4, Segment, RudderStack, Heap, Amplitude, Contentsquare, or equivalent

  • Experience using AI-assisted coding tools (e.g., Cursor, Claude Code) to quickly prototype and iterate across analysis, data modeling, instrumentation, visualization and code development.

Values we hold in LocalStack

  • Care: we create with compassion. We prioritize empathy and understanding in every interaction. By genuinely caring for our team, customers, and community, we create an environment where people thrive and impactful work flourishes

  • Ownership: we own the outcome. We take responsibility for our work and are passionate about its impact. We foster autonomy, inspire ambition, encourage ownership, and empower everyone to unlock their potential and make an impact.

  • Openness: we build trust together. We build trust through open communication and honest feedback. By sharing ideas and embracing diverse perspectives, we create stronger, more connected teams that work toward shared goals.

  • Courage: we dare to innovate. We embrace bold challenges and take calculated risks to move the needle. We step outside our comfort zones, experiment fearlessly, and turn setbacks into springboards for growth.

  • Excellence: we chase the extraordinary. We chase excellence by pushing boundaries and delivering results that go beyond the ordinary, constantly raising the bar and striving for greatness in everything we do. Excellence is not just the outcome, itʼs how we approach every task with purpose, passion, and a commitment to delivering exceptional value.

Benefits we offer:

  • Fully remote

  • Competitive salary

  • Annual company retreat

  • 2 extra company-wide holidays

  • Friendly and inclusive workplace culture (community guilds and online company events)

  • Yearly bonus

Sounds like a good match?

We'd love to hear from you! Join us in shaping the future of cloud development at LocalStack.

To apply, follow the application process. Make sure to include a short motivation outlining why you are the perfect candidate for this role.

If your profile looks like a good match, our talent team will be in touch to organize further steps within 2 weeks.

Please note, that due to a high volume of candidates, we cannot offer personalized feedback to each candidate.

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