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Technical Program Manager — GenAI products

AI role · Open offer

Technical Program Manager — GenAI products

Google

Full-time
Staff
GenAI programs
Hybrid
1600 Amphitheatre Parkway, Mountain View, CA 94043, United States · Hybrid
Mountain View, United States
USD 190k–250k/year + equity

Employer

Google

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At a glance

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

Employment: Full-time
Workplace: Hybrid
Location: 1600 Amphitheatre Parkway, Mountain View, CA 94043, United States · Hybrid
Compensation: USD 190k–250k/year + equity
Experience level: Staff
Team: GenAI programs
Benefits & perks: Equity, on-site perks, hybrid.
How to apply: Multi-team GenAI launch with dependency map and launch metrics.
Company site: www.google.com
Listed: Jul 14, 2026
Updated: Aug 3, 2026

About this role

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

Google is hiring a Staff Technical Program Manager — GenAI products on the GenAI programs team (Hybrid · Mountain View, 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.

Google launches consumer and cloud GenAI products at planetary scale. Technical Program Manager aligns research, infra, and product on multi-quarter roadmaps.

Hybrid Mountain View: drive cross-functional launches with crisp exit criteria.

What you will do

Define program OKRs linking model quality, latency, and revenue.
Orchestrate dogfood, experimentation, and launch comms.
Remove dependencies across Search, Cloud, and DeepMind teams.

Stack & environment

Large-scale ML infra, Kubernetes, internal eval platforms.
Hybrid Googleplex.

What we look for

8+ years TPM on technical products.
Track record shipping ML-backed features.

Skills we're hiring for

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

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
Project Management
Practical Project 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.).

KubernetesTool
Deploying and scaling model services with health checks, autoscaling, and rollout discipline.

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: Multi-team GenAI launch with dependency map and launch metrics.
Several of these show up in recent shipped work—not only on your CV: Python, LangChain, Project Management, and Kubernetes.
You have led LLM & generative AI initiatives across teams—setting technical direction, review standards, and rollout plans others could follow.
You are comfortable with the hybrid rhythm (Hybrid · Mountain View, 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 190k–250k/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

Multi-team GenAI launch with dependency map and launch metrics.

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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Technical Program Manager — GenAI products

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