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AI Product Owner — Einstein | Salesforce | San Francisco · Ganloss

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AI Product Owner — Einstein copilots

AI role · Open offer

AI Product Owner — Einstein copilots

Salesforce

Full-time
Senior
Einstein GenAI
Hybrid
415 Mission Street, San Francisco, CA 94105, United States · Hybrid
San Francisco, United States
USD 165k–210k/year + equity

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Salesforce

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Posted on Ganloss

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At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: 415 Mission Street, San Francisco, CA 94105, United States · Hybrid
Compensation: USD 165k–210k/year + equity
Experience level: Senior
Team: Einstein GenAI
Benefits & perks: Equity, wellness, hybrid SF tower.
How to apply: Roadmap copilot feature with adoption metrics and eval criteria.
Company site: www.salesforce.com
Listed: Jul 16, 2026
Updated: Aug 3, 2026

About this role

What the team is looking for and how this position fits.

Salesforce is hiring a Senior AI Product Owner — Einstein copilots on the Einstein GenAI team (Hybrid · San Francisco, United States). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Salesforce ships Einstein copilots across CRM workflows. As AI Product Owner, you own backlog, acceptance criteria, and eval metrics for GenAI features used by millions of admins.

Hybrid San Francisco: partner with applied scientists, UX, and compliance on safe rollout of agentic assistants.

What you will do

Prioritise copilot use cases with ROI and risk scoring.
Write user stories with golden prompts and failure modes.
Run beta programs with measurable adoption and CSAT.

Stack & environment

LangChain-style orchestration, OpenAI APIs, Salesforce platform.
Hybrid SF Mission Street.

What we look for

5+ years product on B2B SaaS or AI features.
Eligible to work in the US.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
NLP
Text pipelines: tokenization, fine-tuning, evaluation, and guardrails for user-facing language features.
Product Management
Practical Product Management experience applied to LLM features, retrieval, agents, and evaluation in production or rigorous pilots.

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

OpenAI APITool
Calling frontier APIs with retries, cost controls, prompt versioning, and safety filters.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Roadmap copilot feature with adoption metrics and eval criteria.
Several of these show up in recent shipped work—not only on your CV: LangChain, NLP, Product Management, and OpenAI API.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · San Francisco, United States)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: USD 165k–210k/year + equity, benefits in At a glance) and your expectations align.

Apply

Candidate accounts only: add your headline and bio on My account, and optionally a CV link or PDF so recruiters see your full résumé. Then write a short pitch below—applications use your login email.

What the employer asked for

Roadmap copilot feature with adoption metrics and eval criteria.

Sign in with a candidate account to apply

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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AI Product Owner — Einstein copilots

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