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

Open nowPosted 3 days ago

Senior Technical Product Manager, AI Evaluations & Quality

Bloomberg58 open roles

Pay
$180,000 – $230,000 a year
Where
Arlington, VA - 1801 S Bell (INDG)
Get the CV for this job

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

Your applicationOpen nowSenior Technical Product Manager, AI Evaluations & QualityBloomberg · Arlington, VA - 1801 S Bell (INDG)

  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 Bloomberg'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.

13.5% of postings close within 7 days. Measured by our own scanner across the market. Bloomberg postings stay open a median of 21 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted 3 days ago

Bloomberg median: 21 days open

The posting

At Bloomberg Industry Group, our Core, AI & Search team builds the shared foundation for AI-powered experiences across Bloomberg Law, Bloomberg Tax, and Bloomberg Government. We help professionals find trusted answers and complete complex work, while enabling product teams to deliver better experiences faster.

We are seeking a Senior Technical Product Manager to own the technical product strategy and roadmap for AI evaluation, quality, safety, and guardrails. You will help teams assess and adopt the latest models and capabilities with confidence.

Working with Engineering, Data Science, product teams, and domain experts, you will shape how we measure and improve AI across real professional workflows, from development through production. Your work will help teams deliver more useful answers, safer agents, and better customer outcomes.

What You Will Do:

  • Own and evolve the technical product strategy and roadmap for shared AI evaluation frameworks, tooling, safety controls, and guardrails
  • Continuously compare the latest models and capabilities on real professional tasks, and guide adoption based on quality, safety, speed, and cost
  • Turn agreed evaluation standards into shared methods and benchmark datasets with domain experts and product teams, combining automated testing with expert review
  • Evaluate models, prompts, agents, and complete workflows for accuracy, relevance, source support, safe tool use, and successful task completion, partnering with Search on retrieval quality
  • Translate quality goals into testable requirements, and partner with Engineering and AI Platform to embed evaluation in development, release, and production workflows
  • Lead product priorities for AI safety and guardrails with Engineering, Legal, and Privacy, addressing unreliable outputs, unsafe actions, transparency, and human oversight
  • Partner with AI Platform and Security to test safeguards against prompt injection, misuse, and data exposure, and address failures
  • Give business and product teams clear evidence of quality, risks, and limitations to support their acceptance and release decisions
  • Use production traces, incidents, customer feedback, and expert review to improve evaluation datasets, detect regressions, and measure answer quality, task success, and safety
  • Help teams adopt evaluation and guardrail services through useful documentation, onboarding, and clear routes for feedback and support
  • Evaluate build, buy, and partner options, and prioritize delivery with Engineering as technology, dependencies, and customer needs evolve
  • Communicate recommendations and trade-offs clearly to technical and business leaders, and mentor other Product Managers and Technical Product Managers

What You Need to Have:

  • 7-10 years of experience building and shipping technology-powered products, with at least 3 years owning technical or platform product execution (e.g., Technical PM, Platform PM, IR/ML PM, Solution Architect, or Engineering Lead)
  • Bachelor's degree in Computer Science, Engineering, Data/Information Systems, or a related technical field - or equivalent practical experience
  • Strong understanding of modern software and platform architectures, including APIs, data models, cloud-based and distributed systems, and data infrastructure
  • Proven ability to partner with senior engineers and technical leaders to influence architecture-level decisions and navigate complex technical trade-offs
  • Demonstrated data-driven decision making, using performance metrics, experimentation, telemetry, and logs to guide product strategy and prioritization
  • Experience producing clear, high-quality technical requirements, user stories, and system-level documentation
  • Solid grasp of modern delivery and operational practices, including Agile methodologies, CI/CD, observability, reliability engineering, and technical debt management
  • Familiarity with DevOps, SRE, security, and compliance considerations in production systems
  • Excellent communication skills, with the ability to translate complex technical concepts into clear guidance for cross-functional and non-technical stakeholders
  • Willingness to travel to other Bloomberg offices as needed

Compensation Range:

$180,000.00-$230,000.00

Placement in the salary range will be decided upon completion of the interview process. Salary determination will be determined based on factors including but not limited to relevant experience, demonstrated skills related to the requirements of the role, education, certifications, and geographic location.

Equal Opportunity

Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (“Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics (“Discrimination”).

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 Bloomberg'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 Bloomberg'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

    Bloomberg'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.