Senior Manager, Developer Relations

Posted 4 Days Ago
Be an Early Applicant
3 Locations
In-Office
206K-297K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
Let's build a world where data and AI turn possibilities into reality.
The Role
Lead Developer Relations for Snowflake's AI & Developer portfolio: define developer strategy, produce technical adoption assets, run launch and feedback loops, build reusable adoption systems, represent Snowflake in developer communities, and hire and grow a team of Developer Advocates focused on driving measurable adoption.
Summary Generated by Built In

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

About the role

Snowflake’s mission is to mobilize the world’s data as the AI Data Cloud. Our AI & Developer products including CoCo for builders, CoWork for knowledge workers and well our developer tools like Notebooks, Streamlit, and App Runtime are how we put that mission into the daily workflows of developers and data teams.

We're looking for a senior Developer Relations leader to own how builders discover, adopt, and succeed with Snowflake's AI and Developer portfolio, and to build and lead a team of Developer Advocates doing that work. You'll set the developer point of view for an ambiguous, fast-moving product area, manage and grow a team of DAs, and stay technical enough to set the quality bar yourself.

What you'll do

Own the developer strategy for AI & Developer tools

  • Shape the developer point of view for complex, emerging product areas; anticipate where builders get stuck and align on the adoption path.

  • Connect market shifts, developer behavior, customer demand, and Snowflake strategy to influence product direction.

  • Maintain full awareness of the AI and Developer landscape and be the voice of the developer internally.

Set the technical and quality bar

  • Personally produce and review production-quality adoption assets reference apps, quickstarts, demos, deep-dive guides, talks that withstand customer, field, and launch scrutiny.

  • Establish reusable patterns and review systems that raise content quality and accuracy across the team.

Drive launches and reusable adoption systems

  • Lead multi-team launch adoption motions for priority AI & Developer products: define day-0 builder readiness, success metrics, dependencies, and follow-on adoption work.

  • Build durable adoption infrastructure such as repos, quickstarts, demos, workshops, field kits, docs patterns, playbooks, and discoverability across human channels, docs, search, AI assistants, community, and partners so wins compound instead of resetting each launch.

Close the loop between developers and product

  • Run durable developer-signal loops that synthesize community, field, support, docs, usage data, and launch learnings into product feedback.

  • Build developer signals as a first-class product input that changes the roadmap and adoption priorities.

Represent Snowflake in the ecosystem

  • Build and sustain Snowflake's credibility in strategic developer and open-source communities as a community member.

  • Enable your team and Snowflake engineers to participate credibly in these communities.

Lead and grow the team

  • Create clarity in ambiguity, define the work, surface tradeoffs, and make cross-functional execution easier across Product, Engineering, Marketing, Community and various field teams.

  • Set clear goals and operating rhythms; balance hands-on contribution with enabling your team to do their best work.

  • Manage, coach, and develop a team of Developer Advocates; own hiring, performance, growth, and career development against the DevRel ladder.

What you'll bring
  • 10+ years of experience in Developer Relations, Developer Advocacy, Developer Experience, or a closely related technical field, with a track record of driving measurable developer adoption.

  • 5+ years of leadership experience managing, mentoring, or formally leading technical/DevRel teams, with the judgment to hire and grow advocates.

  • Strong hands-on technical foundation: you can build and debug real demos and explain architecture tradeoffs to both builders and internal partners.

  • Working fluency with modern AI development: how LLMs work (prompting, grounding, evaluation), common patterns (RAG, tools/agents, function calling), and hands-on experience building with LLM APIs or agent frameworks (e.g., Snowflake Cortex, OpenAI, Anthropic, OSS models).

  • Solid grounding in data and analytics workflows (SQL, ELT/ETL, dbt, orchestration) and empathy for the day-to-day realities of data and engineering teams.

  • Excellent communication and storytelling able to turn complex AI and data concepts into clear narratives for technical and executive audiences.

  • Demonstrated cross-functional leadership: influencing senior stakeholders across Product, Engineering, Field, and Marketing, and turning ambiguous work into executable plans.

  • Comfort defining outcome-based metrics and using data plus qualitative signals to prioritize, iterate, and decide what to stop doing.

Nice to have
  • Experience with Snowflake or other cloud data platforms.

  • Familiarity with the Snowflake developer ecosystem, such as Notebooks, Streamlit, Cortex Agents, CoCo, CoWork etc.

  • Recognized community standing committer/maintainer role, foundation/governance participation, or a sustained presence in strategic developer communities.

  • A history of building reusable adoption systems (reference architectures, diagnostic tools, workshop programs) and communities

  • Prior experience as a software, data, or ML/AI engineer.

Why join
  • Shape how AI agents change the way data and engineering teams build, at a strategic inflection point for Snowflake.

  • High visibility: your team's work shows up in key narratives with top customers and senior leadership.

  • Build and lead a team in a greenfield, high-impact area with real ownership from day one.

  • Be part of a culture that values thoughtful craftsmanship, velocity, and customer obsession.

Our Human Resources Department may use artificial intelligence to support its administrative processes.

This role is available and may represent a new position.

This role is exempt from Ontario’s job posting requirements.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Skills Required

  • 10+ years of experience in Developer Relations, Developer Advocacy, Developer Experience, or a closely related technical field with proven developer adoption outcomes
  • 5+ years of leadership experience managing, mentoring, or formally leading technical/DevRel teams
  • Strong hands-on technical foundation able to build and debug real demos and explain architecture tradeoffs
  • Working fluency with modern AI development: LLMs, prompting, grounding, evaluation, RAG, tools/agents, function calling
  • Hands-on experience building with LLM APIs or agent frameworks (examples: Snowflake Cortex, OpenAI, Anthropic, OSS models)
  • Solid grounding in data and analytics workflows (SQL, ELT/ETL, dbt, orchestration) and empathy for data/engineering teams
  • Excellent communication and storytelling to translate complex AI and data concepts for technical and executive audiences
  • Demonstrated cross-functional leadership influencing Product, Engineering, Field, and Marketing and turning ambiguous work into executable plans
  • Ability to define outcome-based metrics and use quantitative and qualitative signals to prioritize and iterate
  • Experience with Snowflake or other cloud data platforms
  • Familiarity with Snowflake developer ecosystem (Notebooks, Streamlit, Cortex Agents, CoCo, CoWork)
  • Recognized community standing (committer/maintainer, foundation/governance participation) or sustained presence in developer communities
  • History of building reusable adoption systems (reference architectures, diagnostic tools, workshop programs) and communities
  • Prior experience as a software, data, or ML/AI engineer

Snowflake Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.

  • Equity Value & Accessibility Equity grants (RSUs) and an ESPP are central to total compensation and are described as highly valuable. Feedback suggests many see equity as a major satisfaction driver with meaningful upside potential.
  • Fair & Transparent Compensation Pay is considered competitive and accompanied by clear communication on salary, equity, and advancement. Feedback suggests pay practices emphasize fairness and transparency.
  • Parental & Family Support Paid parental leave, fertility benefits, adoption assistance, and family planning resources are notably comprehensive. Feedback suggests these programs materially support major life events.

Snowflake Insights

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The Company
HQ: Bozeman, MT
9,023 Employees
Year Founded: 2012

What We Do

Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.

Why Work With Us

Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.

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