Staff Product Manager: Agentic Discovery

Staff Product Manager: Agentic Discovery

Full-Time 75600 - 92400 £ / year (est.) Working from home possible
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At a Glance

  • Tasks: Lead AI-powered product discovery and drive measurable business impact.
  • Company: Join a fast-growing tech company revolutionising eCommerce with innovative AI solutions.
  • Benefits: Enjoy unlimited vacation, competitive pay, remote work, and a supportive team culture.
  • Other info: Fully remote role with excellent growth opportunities and a commitment to diversity.
  • Why this job: Shape the future of shopping experiences and make a real difference in eCommerce.
  • Qualifications: 8+ years in product management with a focus on AI/ML and business metrics.

The predicted salary is between 75600 - 92400 £ per year.

Constructor powers product search and discovery for some of the largest retailers in the world. We serve billions of requests every week, and you've probably seen our results somewhere and used our product without knowing it. We differentiate ourselves by focusing on metrics over features, and reinventing search and discovery from the ground up as a machine learning challenge with the specific goal of improving metrics like revenue. We're approximately doubling year over year despite the market slowing down and have customers in every eCommerce vertical. We're a passionate team of technologists who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things.

We're looking for a systems-minded, AI-native Staff Product Manager to help lead the next chapter of Constructor: Agentic Discovery. As commerce shifts toward agentic experiences, we're investing heavily in a portfolio of AI-powered surfaces — our AI Shopping Assistant, Product Insights Agent, Prism recommendations, and more to come — that change how shoppers discover products and how businesses run discovery.

This is a high-leverage, high-ambiguity role. You'll own two things at once: helping our agentic experiences scale from promising experiments into a repeatable, reliable engine, and giving the business teams who depend on them the same transparency and control over agentic experiences that they have today over traditional search.

You'll start by owning the business tooling and dashboards for agentic discovery — the experiences that let business teams see what our agents are doing, why, and to what effect, so they can execute faster and steer with confidence. Over time, your mandate grows to setting direction for the entire Agentic Discovery chapter: the on-site agentic experiences, the offsite/agentic surfaces, the integrations that connect them, and the agentic tooling underneath. This is a Staff role today with a clear path to Director as you take on chapter-wide leadership.

Agentic discovery at Constructor is fundamentally an AI and machine learning problem, so this role lives and breathes it. You'll partner closely with ML, engineering, design, and go-to-market to turn new agentic capabilities into experiences that ship, prove value, and stay under our customers' control — and serve as the connective tissue that aligns multiple teams behind one coherent vision for agentic discovery.

If you're excited about defining a brand-new category, being held to real usage and business outcomes, and giving businesses control over the AI experiences shaping their storefronts, this role is for you.

What You'll Do

  • Own business impact, not features. Drive measurable lift in usage and business outcomes — conversion, revenue, engagement — across Constructor's agentic experiences.
  • Give businesses transparency and control. Build the dashboards and tooling that let business teams see what agentic experiences are doing, understand why, and steer them — closing the gap to the control they have in traditional search.
  • Scale experimentation. Turn one-off agentic experiments into a repeatable, scalable way to launch, measure, and improve new agentic interfaces — cutting time-to-launch.
  • Set chapter vision and strategy. Define the multi-quarter direction for Agentic Discovery — where we're heading and why — tie it to customer business outcomes, and rally teams behind it.
  • Lead the business-tooling and dashboard experience first. Own its strategy and roadmap, and make agentic behavior and impact visible and actionable for business users.
  • Orchestrate across surfaces. Unite on-site agentic experiences, offsite/agentic surfaces, and integrations behind one definition of agentic discovery success, so improvements compound instead of colliding.
  • Turn AI capability into shipped experiences. Partner with ML and engineering to take agentic and LLM-powered experiences from idea to production, balancing quality, latency, cost, and reliability.
  • Make success measurable. Define and instrument the metrics — go-live velocity, usage, engagement, business outcomes — that tell us whether agentic discovery is working.
  • Keep it trustworthy. Treat explainability, control, and guardrails as first-class requirements so customers trust and adopt agentic experiences.
  • Grow the mandate. Expand from business tooling into chapter-wide leadership across the full agentic portfolio and the integrations beneath it.

What Success Looks Like

Within your first year, you will have:

  • Shipped a dashboard and tooling experience that gives business teams real transparency into and control over Constructor's agentic experiences, adopted by internal teams and customers.
  • Driven measurable lift in the usage and business impact (conversion, revenue) of agentic experiences across multiple customers.
  • Stood up a repeatable process for launching and experimenting with new agentic interfaces, measurably shortening time-to-launch.
  • Defined the core metrics for agentic discovery and made them visible in one place.
  • Begun uniting the on-site, offsite, and integrations teams behind one coherent direction for the chapter.

What We're Looking For

  • Extensive product management experience (typically 8+ years) in AI/ML, agentic, search, or discovery products, including time operating at a senior or staff level.
  • A track record of moving business metrics at scale — usage, conversion, revenue, engagement — not just shipping features, and of setting strategy across multiple teams.
  • Experience building for business users/operators (merchandisers, category managers, or similar) — especially the tooling, dashboards, and controls they rely on.
  • Strong AI/ML/LLM product depth — understands how agentic and LLM-powered experiences work and can reason about their tradeoffs (quality, latency, cost, reliability).
  • Comfort with zero-to-one ambiguity and with scaling — able to experiment on brand-new interfaces and to build the repeatable process that turns them into a portfolio.
  • A rigorous, measurement-first mindset that ties every experience back to usage and business outcomes.
  • Excellent cross-functional leadership — able to align teams with different goals behind a shared definition of success, working shoulder-to-shoulder with ML, engineering, design, and go-to-market.
  • A strong instinct for trust — treating transparency, control, and guardrails as core to whether agentic experiences succeed.
  • Comfort setting direction where none exists yet, and leading through clarity and credibility rather than the org chart.

Benefits

  • Unlimited vacation time — we strongly encourage all of our employees to take at least 3 weeks per year.
  • A competitive compensation package including stock options.
  • Company-sponsored US health coverage (100% paid for employee).
  • Fully remote team — choose where you live.
  • Work-from-home stipend! We want you to have the resources you need to set up your home office.
  • Apple laptops provided for new employees.
  • Training and development budget for every employee, refreshed each year.
  • Parental leave for qualified employees.
  • Work with smart people who will help you grow and make a meaningful impact.

This position is fully remote — Constructor.io is a remote-first company.

Diversity, Equity, and Inclusion at Constructor

At Constructor.io, we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status, or affiliation in any other protected group.

How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice. After that period your data will be deleted or anonymized.

Staff Product Manager: Agentic Discovery employer: Constructor

Constructor is an exceptional employer that fosters a dynamic and inclusive work culture, prioritising empathy, curiosity, and continuous improvement. As a Regional Manager in Customer Success, you will have the opportunity to lead a passionate, remote-first team while driving meaningful customer outcomes across the EMEA region. With a strong focus on employee growth through training and development, along with a competitive leave package and stock options, Constructor empowers its employees to thrive in a fast-paced, innovative environment.

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Contact Details:

Constructor Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff Product Manager: Agentic Discovery

Join Product Management Meetups

Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Constructor!

Show Off Your Product Sense

Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Constructor would be by your initiative!

Utilise Online Communities

Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.

Leverage Your University Network

If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Constructor through your school's career services!

We think you need these skills to ace Staff Product Manager: Agentic Discovery

Product Management
AI/ML Knowledge
Dashboard Development
Business Metrics Analysis
Cross-Functional Leadership
Experimentation and Scaling
User Experience Design

Some tips for your application 🫡

Show Off Your Product Passion:When applying for a product management role like Staff Product Manager: Agentic Discovery, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!

Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!

Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.

Tailor Your CV to the Role:Make sure your CV is tailored for the Staff Product Manager: Agentic Discovery position at Constructor. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!

How to prepare for a job interview at Constructor

Understand the Product Life Cycle

As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.

Showcase Your Cross-Functional Skills

Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.

Prepare for Case Studies

In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.

Know Your Metrics

Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.