Staff Forward Deployed Engineer
Afresh · San Francisco, CA
Posted about 3 months ago · $168,912-$253,368
or apply directly on Afresh's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 81 days Afresh's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- Yes 94% of Afresh's roles list one
- Ghost-job risk at Afresh
- high 16 stale, 0 reposted of 17 open
- Hiring momentum
- 21 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Afresh's own greenhouse board since 2026-08-03. Full hiring picture for Afresh.
About this role
As a Staff Forward Deployed Engineer at Afresh, you will work directly with grocery customers to integrate AI solutions into their data systems while also developing the underlying platform for these solutions. Your role involves both fieldwork—embedding with customer teams to architect and implement data pipelines—and platform development, ensuring that insights gained from customer interactions enhance the overall system. This position requires a balance of customer engagement and technical development, focusing on creating reusable tools and infrastructure.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Afresh as an employer.
What you need
- 5+ years building production software and data systems
- Strong, production-grade code
- Ability to design solutions from ambiguous problems and messy data
- Experience building real systems with LLMs and agents
- Proficiency in building and operating data pipelines
- Experience with modern cloud data platforms (Databricks, BigQuery, Snowflake, or similar)
Nice to have
- Experience in grocery, retail, or supply chain data domains
- Knowledge of knowledge graphs, ontologies, or semantic layers in production
- Familiarity with agent frameworks (e.g., LangGraph)
- Experience with MLOps, model serving, and observability for LLM systems
- Prior experience in forward-deployed, solutions, or implementation engineering
What you get
- Comprehensive medical, dental, and vision coverage
- Dedicated mental health support and counseling services
- Competitive base salary
- Meaningful equity
- 401(k) program with a generous company match
- Home office stipend and 'Coworking Wallets' for workspace access
Worth weighing
- No salary listed beyond a range
- Role involves significant customer interaction and travel
- The position is not eligible for company sponsorship
Summarised from Afresh's posting. Read the full original.
Listed by Afresh on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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