Senior Product Manager

Dealfront is an AI-powered, agentic go-to-market and signal orchestration platform for B2B mid-market companies. We give businesses the clarity to focus their efforts where they'll count most - on the accounts that fit their ideal customer profile, show real buying intent, and are actively engaging. No more cold outreach and no more bloated target lists. Just better deals, faster.

Our platform brings together powerful data, real-time insights, and intelligent prioritisation to help our customers identify, engage, and convert the right accounts, at the right time. Built for teams that value speed, precision, and simplicity, Dealfront turns complexity into action.

Join us and be a part of our journey to transform the way businesses win more deals

Requirements

We are looking for a Senior Product Manager to join our growing product team.

In this role, you will own the end-to-end lifecycle of one of our core product areas, taking accountability for driving measurable business impact and maximising value creation.

You will work closely with Engineering, Design, Data, and Go-To-Market teams to lead hypothesis-driven discovery, shape commercially viable solutions, and build systems that learn and grow. 

If you thrive in fast-paced, sometimes ambiguous environments and love rolling up your sleeves to build AI-driven products that create compounding value — we'd love to hear from you.

Responsibilities

This role requires a balance of desirability, feasibility, and viability focus:

Business & Outcome Ownership

• Define and communicate a clear product strategy and roadmap, aligned with company objectives and focused on driving measurable business outcomes (ARR growth, retention, LTV, activation etc).
• Act as a business owner for your domain, balancing trade-offs between customer value, technical investment, and commercial viability.
• Partner with Go-To-Market (GTM) teams to shape monetisation, pricing strategy, and packaging to ensure new capabilities successfully drive revenue and market adoption.

Continuous Discovery & Validation

• Lead hypothesis-driven discovery and validation cycles, utilising experimentation, rapid prototyping, and deep customer engagement to reduce risk and maximise evidence-based learning.
• Gather insights from customers, prospects, and market trends to identify significant opportunities and inform product decisions.

AI as Strategic Leverage

• Identify, scope, and implement AI and GenAI technologies to create compounding user value, automate core processes, and establish meaningful product differentiation.
• Define and improve feedback loops that connect product usage data, new insights,  prioritisation, and the overall system of growth.

Execution & Cross-functional Accountability

• Translate validated opportunities into clear requirements and user stories. Prioritise ruthlessly against key metrics and measurable business outcomes to maximise impact.
• Drive shared accountability for outcomes with Engineering, Design, Data, Sales, and Marketing teams, ensuring seamless product development and successful market launches that meet business goals.
• Direct initiatives to integrate new data technologies and methodologies, ensuring our data assets are optimised for maximum effectiveness, governance, and AI capability.

Requirements

• 5+ years of product management experience, with at least 2 years in a senior role within a B2B SaaS environment.
• Proven track record of connecting product outcomes directly to business metrics (e.g., ARR, activation rate, retention, efficiency).
• Demonstrated experience in continuous discovery practices, including hypothesis-driven testing, experimentation, and opportunity mapping.
• Strong commercial acumen and experience with monetisation/pricing strategy, ROI evaluation, and market positioning.
• Track record of building AI-augmented products that create exceptional user leverage, not just technical novelty.
• Fluency in product analytics and decision frameworks.
• Exceptional strategic thinking with the capability to think in loops and systems, designing for compounding growth and scalable learning.
• Be comfortable with ambiguity and a hypothesis-driven decision-making mindset, prioritising learning over rigid roadmap adherence.
• Technical Proficiency: working knowledge of SQL and advanced data visualisation tools required.

Benefits

• The chance to work with a very knowledgeable, high-achieving and fun team.
• An international, diverse, dynamic and committed work environment.
• The opportunity to work remotely, with a flexible work schedule.
• Mental Health support with Auntie.
• Annual company retreats in sunny locations and team off-sites :)

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