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Actian

Senior Product Manager, Smart Data Products [gn] Europe

United Kingdom
Posted 1 day ago
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Actian is a leading provider of data management solutions, empowering businesses to harness the power of their data.

This role offers competitive compensation, including base salary and variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, location, and experience.

We Are Looking For

A visionary Senior Product Manager to lead the next generation of Smart Data Products within our ecosystem. You will be at the forefront of a new way of interacting with data through reliable and trustworthy AI agents, providing innovative interactions between users and information. Using Actian's Data Intelligence Platform as our core platform, you will bridge the gap between high-level strategic vision and agile technical execution. You will not only manage a backlog but also co-create alongside engineering teams using AI-driven development workflows. This is a fully remote, senior individual contributor role with high strategic visibility.

What You’ll Do

  • Translate the CPTO's strategic vision into a concrete, scalable Data Product roadmap. You'll pair strong product instincts with data-informed decision making to deliver results.
  • Participate in the product lifecycle from discovery through launch, iteration, and adoption, including setting success metrics, prioritizing features, and ensuring high-quality execution.
  • Lead the full lifecycle of Data Products development, ensuring they are discoverable, trustworthy, and valuable within Actian's Data Intelligence Platform.
  • Oversee the development of AI agents that control data products, enabling conversational and proactive interactions for end-users.
  • Lead cross-functional squads in an agile environment, collaborating with Engineering, Design, Marketing, Sales, and Customer Success to ensure high-velocity and high-quality releases.
  • Champion the use of AI product development tooling to accelerate delivery and optimize product features.
  • Partner with Go-to-Market teams to position our Data Products value proposition, shape product messaging, and drive adoption among technical and executive audiences.
  • Navigate the complexity of corporate environments while maintaining the agility of a startup, managing expectations from C-level executives to end-users and clients.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Who You Are

  • 5+ years in Software Product Management, with specific focus on Data Products, Data Platforms, or AI/ML products.
  • Experience working as a product manager on open source technologies.
  • You have "survived and thrived" in both fast-paced startup environments and complex corporate structures. You know how to pivot quickly but also how to navigate decision-making processes in larger organizations.
  • Deep understanding of Data Governance, Data Catalogs, and the modern data stack.
  • Ability to debate strategic inputs and then dive into the concrete inputs for engineering at ground level.
  • Skilled at translating customer and stakeholder needs into innovative product features.
  • Track record of shipping enterprise-grade SaaS features from ideation through scale.
  • Able to balance short-term execution with long-term vision.
  • Customer-driven and passionate about customer success.
  • Bachelor's degree in Computer Science, Engineering, Business, or related field.

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Preferred Qualifications

  • Prior work experience in the data management domain (e.g., data catalogs, databases, major CSPs, key data-oriented user personas and their use cases) is a plus.
  • At least 1 year owning zero-to-one or early-stage product launches.

Our Values

  • When the wind blows, build windmills not walls
  • If it isn't ruthless, it isn't prioritization
  • Do better, do faster

What We Offer

  • The chance to be part of an innovative, fast-growing company making a significant impact in the data management space.
  • Collaboration with a passionate and diverse team.
  • Competitive salary and benefits package.
  • Flexible work arrangements (remote or hybrid).
  • Opportunities for professional growth and development.

We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Skills

Product Management
Data Products
AI/ML Products
Open Source Technologies
Data Governance
Data Catalogs
Modern Data Stack
SaaS
Agile Methodology
Product Roadmap
Stakeholder Management
Go-to-Market Strategy
AI Agents
Data Intelligence Platform
Cross-functional Leadership
Product Lifecycle Management

Location

United Kingdom

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