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

Open nowPosted yesterday

Product Owner

Quantiphi77 open roles

Where
USA - Remote
Work mode
Remote
Get the CV for this job

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

Your applicationOpen nowProduct OwnerQuantiphi · USA - Remote

  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 Quantiphi'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.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Quantiphi postings stay open a median of 56 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted yesterday

Quantiphi median: 56 days open

The posting

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi:

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations.

Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake.

Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc.

As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.

Our industry recognition includes:

  • 21x Google Cloud Partner of the Year awards in the last 8 years.
  • 3x AWS AI/ML award wins.
  • 3x NVIDIA Partner of the Year titles.
  • 2x Snowflake Partner of the Year awards.
  • Top analyst recognitions from Gartner, ISG, and Everest Group.
  • Consecutive certifications as a Great Place to Work.

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation.

Your next big opportunity starts here!

Work Location: USA - Chicago

Experience Level: 10 to 12 years

Type: Full time

Role:

We are seeking a seasoned, strategic, and technically adept Product Owner to shape and drive our AI/ML innovation roadmap, with a dedicated focus on building state-of-the-art AI Agentic systems.

In this role, you will bridge the gap between cutting-edge AI research and scalable enterprise execution. You will translate frontier AI concepts—such as Large Language Models (LLMs), Agent Development Frameworks (ADK), Claude Skills, Retrieval-Augmented Generation (RAG), and Knowledge Graphs—into structured, high-impact product requirements. Working within a SAFe Agile framework, you will collaborate with research scientists, data engineers, cloud architects, and executive stakeholders to advance concepts from initial Proof of Concept (POC) to production-grade deployment on cloud-native infrastructure.

Responsibilities:

  • Define, articulate, and execute the product vision and roadmap for next-generation AI/ML initiatives, prioritizing high-leverage agentic architectures and autonomous workflows.
  • Manage and prioritize the innovation and research backlog, balancing experimental risk, technical viability, and tangible business impact.
  • Continuously evaluate breakthroughs across the generative AI ecosystem to identify opportunities for integration into the core product suite.
  • Deconstruct complex AI/ML paradigms—including agent tool-use, RAG pipelines, Knowledge Graph embeddings, and multi-agent coordination—into clear user stories, acceptance criteria, and technical specifications.
  • Partner closely with system architects and software engineers to ensure experimental architectures are built for scalability, resilience, and security within Google Cloud Platform (GCP) and Kubernetes (GKE).
  • Support modern deployment patterns and iterative testing loops by leveraging automated CI/CD practices with GitHub Actions.
  • Shepherd innovation initiatives across the entire lifecycle: from hypothesis formation, exploratory research, and POC validation through to hardening, production rollout, and adoption.
  • Establish evaluation frameworks, benchmarks, and key performance indicators (KPIs) to measure model reliability, agent task completion, cost efficiency, and end-user impact.
  • Gather quantitative feedback and qualitative operational insights to iterate on prototypes or graduate successful experiments into core product offerings.
  • Act as the central connective tissue between AI researchers, core engineering, operations, and commercial leaders within a Scaled Agile Framework (SAFe).
  • Map and navigate complex application landscapes, user workflows, data dependencies, and cross-team ownership structures to eliminate delivery roadblocks.

Skills Required:

  • 10–12 years of overall professional experience, with substantial tenure as a Product Owner, Technical Product Manager, or Product Lead guiding advanced technical or data-centric products.
  • Demonstrated conceptual and practical mastery of modern AI ecosystems, including Generative AI, LLMs, AI Agentic workflows, Agent Development Kits (ADKs), Claude Skills, RAG pipelines, vector search, and Knowledge Graph integration.
  • Hands-on experience operating within Scaled Agile (SAFe) environments, running backlog grooming, sprint planning, PI planning, and dependency management for cross-functional teams.
  • Solid understanding of cloud-native infrastructure, specifically Google Cloud Platform (GCP) and container orchestration with Kubernetes, along with familiarity with GitHub Actions for CI/CD automation.
  • Ability to actively engage in architectural discussions regarding data pipelines, API contracts, latency budgets, agent orchestrators, and model inference scaling.
  • Proven track record of translating high-level executive strategy and complex data science research into actionable epics, features, and stories for cross-functional execution.

What is in it for you:

  • Be part of the fastest-growing AI-first digital transformation and engineering company in the world
  • Be a part of an energetic team of highly dynamic and talented individuals
  • Exposure to working with fortune 500 companies and innovative market disruptors
  • Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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 Quantiphi'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 Quantiphi'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

    Quantiphi'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.