Founding forward deployed engineer builds 0-to-1 AI products for strategic enterprise customers, partnering with C-suite and R&D. Requires 4+ years experience, production AI shipping, full-stack skills, and business acumen; hybrid NYC with 25-50% travel.
160k – 270k/yr
Hybrid4+ YOEML Engineering
About the role
The Opportunity\n\nJoin as a founding member of Glean's forward deployed team to discover and build next-generation product surfaces. Work with Forward Deployed PMs and C-suite at strategic customers to identify unsolved business problems and create new products that ship globally.\n\n## What You'll Do\n- Discover and build Glean's next product surfaces: Perform 0-to-1 product creation, extending the platform to solve unique problems.\n- Lead deep opportunity discovery: Analyze business issues, form hypotheses, and validate with stakeholders.\n- Be a technical partner to the C-suite: Build trust and communicate technical plans clearly to executives.\n- Scale what works: Collaborate with R&D to make successful solutions repeatable and scalable.\n- Stay at the frontier with Glean's R&D team: Shape platform evolution based on field insights.\n\n## Who You Are\nThink like a founder: curious, scrappy, with full-stack depth and business acumen. Comfortable in CEO discussions and codebases, with proven shipping experience.\n\n## What We're Looking For\n- 0-to-1 build track record in ambiguous environments.\n- Production AI experience (prompt engineering, agents, evaluation, deployment).\n- Full-stack technical depth and enterprise systems knowledge.\n- Business acumen and customer instinct.\n- Builder's judgment, curiosity, and scrappiness.\n- Experience: 4+ years in technical roles shipping production software.\n- Willingness to travel 25–50%.\n\n## Nice to Have\n- Founder experience, top-tier tech company, or forward deployed engineering.\n- Technical degree (CS, engineering, math).\n- Deep LLM, retrieval systems, evaluation frameworks knowledge.\n- Enterprise technology adoption experience.\n\n## Compensation & Benefits\n$160,000-$270,000 annually (varies by level, location, skills). Includes medical, dental, vision, 401k, stipends, time-off, events, daily lunches. Equity and variable pay possible.
Research Scientist II building and improving fraud risk models and scam detection systems using audio, behavioral, and metadata signals. Requires an advanced degree and 3+ years of applied ML experience with Python and modern ML frameworks.
160k – 185k/yr
Remote3+ YOEML Engineering
AI Engineer - Database Engineering
SnowflakeMenlo Park, CA
As an AI Engineer, you will own the full AI engineering lifecycle, from design to optimization, for Snowflake Database Engineering products. You will build agentic workflows, coding harnesses, and evaluation pipelines, working with a high-powered engineering team.
160k – 230k/yr
On-site5+ YOEML Engineering
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SnowflakeMenlo Park, CA
Build and scale backend infrastructure powering agentic AI products including orchestration engines, RAG systems, evals infrastructure, and production AI workflows. Requires 4+ years distributed systems experience and deep Python plus Go/Java proficiency.
160k – 225k/yr
On-site4+ YOEML Engineering
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Mach9San Francisco, CA
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160k – 200k/yr
On-site3+ YOEML Engineering
ML Ops Infrastructure Engineer
DeepgramCalifornia
Build and maintain ML infrastructure pipelines to deploy research models to production at scale, including CI/CD, A/B testing, monitoring, and optimization for low-latency voice AI serving. Requires 4+ years MLOps experience with Python, Docker, Kubernetes.