Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 3 days ago

Technical Program Manager, Gemini Post-Training, Knowledge Work, DeepMind

Google DeepMind134 open roles

Where
Mountain View, CA, USA; New York, NY, USA
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowTechnical Program Manager, Gemini Post-Training, Knowledge Work, DeepMindGoogle DeepMind · Mountain View, CA, USA; New York, NY, USA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Google DeepMind's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

15.1% of postings close within 7 days. Measured by our own scanner across the market. Google DeepMind postings stay open a median of 23 days.

Share of postings closed within
  1. 2.4%1 day
  2. 6.5%3 days
  3. 15.1%7 days
This job: first seen 3 days ago

Google DeepMind median: 23 days open

The posting

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.

Minimum qualifications:

  • Bachelor's degree in Computer Science or a related technical field or equivalent practical experience.
  • 5 years of experience in program management.

Preferred qualifications:

  • 8 years of program management experience, delivering end-to-end projects closely with research and engineering teams.
  • Familiarity with the LLM post-training lifecycle, including training data pipelines, SFT, RL, and model evaluation.
  • Proven skill navigating ambiguity and adapting strategies as research and project conditions change.
  • Strong communication and stakeholder management skills to influence outcomes and align technical and product teams.

About the job

Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.

Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.

Artificial Intelligence could be one of humanity’s most transformative inventions. We are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate product innovation. Our team is experienced in building large language models end-to-end, with a distinct emphasis on post-training, evaluation, supervised fine-tuning, reinforcement learning, and inference-time self-improvement.

In this role, you will apply program management methodologies across multiple post-training data, evaluation, and modeling initiatives, balancing rapid progress and risk to deliver sustainable improvements across Gemini releases. You will partner with researchers, engineers, product managers, and cross-functional stakeholders to define project scope, goals, timelines, and resource requirements turning research priorities into high-quality training data, evaluations, and deliverable model milestones.

Artificial intelligence will be one of humanity’s most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Organize and optimize post-training initiatives (Supervised Fine-Tuning (SFT), Reinforcement Learning (RL), data, and evaluations) into clear goals, milestones, and release plans with research and engineering teams.
  • Manage end-to-end project planning and cross-functional dependencies across data pipelines, evaluation platforms, compute, and external partners to align with Gemini model releases.
  • Track progress, maintain program documentation, and proactively resolve technical and operational blockers across data and model development workflows.
  • Evaluate technical proposals, understanding trade-offs, and translate complex modeling progress into clear, decision-ready updates for leadership and cross-functional audiences.
  • Apply lightweight program methodologies to improve velocity and predictability while fostering a deep understanding of post-training, LLMs, and AGI research.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Google DeepMind's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Google DeepMind's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Google DeepMind's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.