Senior Product Engineer

About Us

Plentific is a property technology platform used by housing providers, local authorities, housing associations, asset managers, and contractors across the UK and Germany to coordinate repairs, maintenance, and contractor workflows at scale. The platform combines a marketplace, workflow automation, and operational analytics, and is built to handle the volume and compliance demands of social housing, local authority property portfolios, and large-scale residential operations. We are headquartered in London, with engineering and operations across the UK and Germany. Our investors include Highland Europe, Brookfield, Mubadala, RXR Digital Ventures, and Target Global.

We are growing the team to expand the platform's coverage across Europe and to integrate AI throughout the product and operating model. If you are interested in working on hard, real-world problems in a sector that has long been under-served by good software, we would like to hear from you.

The Role

We are hiring a Senior Product Engineer to join one of Plentific's cross-functional product teams, working alongside product managers, designers, data analysts, and engineers to turn complex property operations workflows into solutions customers rely on every day.

This is a hands-on engineering role with a strong product focus. You will help frame customer problems, shape product decisions, make technical trade-offs, ship production code, and learn from how customers use it after release. You will partner closely with a product manager where you have one, and you are equally able to drive product work yourself where you do not: writing clear specs, defining acceptance criteria, planning validation, and coordinating release notes so the work is understood by customers and internal teams.

The work spans backend services, product surfaces, integrations, data models, analytics instrumentation, and the operational details that make a workflow usable at scale. We expect you to use agentic coding tools as part of your normal practice: turning a loosely defined product problem into a clear specification, prototyping both the interface and the working solution, then using AI-assisted, spec-driven development to produce, test, review, and iterate on production-quality code.

Plentific's platform handles repairs, maintenance, contractor management, compliance, resident experience, and operational analytics for large property portfolios. The problems are real-world, high-volume, and often messy: legacy integrations, complex permissions, strict compliance requirements, and users who need software to fit how work actually happens on the ground. Success in this role means building software that is technically sound and product-aware. You will bring strong engineering fundamentals, good judgement around simplicity, and the habit of checking whether a shipped change improved the customer outcome.

Key Responsibilities

Product Engineering

• Own product changes from discovery through delivery, release, measurement, and iteration.
• Translate customer problems, operational workflows, and design concepts into clear technical specs and pragmatic delivery plans.
• Shape solutions with product managers and designers, using engineering judgement to improve the user experience before implementation starts.
• Define success metrics, acceptance criteria, testing approach, rollout plan, and release notes for product changes you own.
• Instrument and validate product decisions with evidence from customer conversations, support data, product analytics, experiments, and production behaviour.

Hands-On Engineering

• Build and maintain product features, APIs, services, and integrations using Python, Django, PostgreSQL, React, TypeScript, and related platform tooling.
• Design data models, service boundaries, and API contracts that support complex property operations workflows at scale.
• Optimise application performance, database queries, and system behaviour where customer experience or operational throughput depends on it.
• Build analytics events, operational dashboards, and observability hooks that show whether a shipped change is working for customers and internal teams.
• Debug and resolve production issues across product surfaces, backend services, integrations, and data flows.

Agentic and Spec-Driven Development

• Turn ambiguous product ideas into implementation-ready specs, including user flows, system behaviour, edge cases, acceptance criteria, release notes, and test expectations.
• Prototype product concepts quickly across UI and backend behaviour, using working software to test feasibility and product value before committing to larger delivery.
• Use agentic coding tools such as Codex, Claude Code, Cursor, or equivalent to generate, refactor, test, and review code within clear technical constraints.
• Evaluate AI-generated code critically for correctness, maintainability, security, performance, and fit with Plentific's architecture.
• Improve the team's spec-driven development practice by creating reusable prompt patterns, review checklists, examples, and lightweight documentation.

Delivery and Collaboration

• Collaborate closely with product managers, designers, data analysts, customer-facing teams, and other engineers throughout the delivery lifecycle, while being able to move product work forward when those partners are not available.
• Communicate technical trade-offs clearly to technical and non-technical stakeholders, including when scope, quality, or delivery timing needs to change.
• Write concise documentation for product decisions, system behaviour, release notes, APIs, data models, and operational handover.
• Mentor engineers through code review, pairing, and design discussion, especially where product context and technical choices need to come together.

Requirements

• Strong product judgement, with evidence of using customer context, data, and technical trade-offs to shape what gets built.
• Comfortable turning loosely defined problems into scoped product and technical work, without waiting for every requirement to be specified upfront.
• Strong software engineering fundamentals, including data structures, software design patterns, testing, debugging, and maintainable code design.
• Practical experience building customer-facing SaaS products in cross-functional teams with product managers and designers.
• Production experience with backend or full-stack systems, preferably including Python, Django, PostgreSQL, REST APIs, React, TypeScript, and cloud infrastructure.
• Practical experience prototyping both user interfaces and working backend solutions, with enough product judgement to decide what should become production work.
• Strong working fluency with agentic coding tools and spec-driven development workflows, including specification writing, code generation, test generation, and critical review.
• Working knowledge of distributed systems, service-oriented architecture, asynchronous processing, and production reliability.
• Clear communication with the ability to explain technical decisions, product trade-offs, and delivery risks in plain English.
• Pragmatic delivery style, with the discipline to ship small, learn from production, and improve the product after release.
• Sound judgement around security, permissions, data quality, privacy, and compliance in business-critical workflows.
• High ambition and a strong sense of urgency, with the drive to deliver an ambitious product roadmap at pace using AI, and a positive, can-do attitude.

Experience and Qualifications

• 6+ years of professional software engineering experience, preferably building SaaS products used by business customers.
• Experience shipping and operating production software across backend services, product interfaces, data models, APIs, or integrations, including monitoring, incident response, and performance improvement.
• Experience working in cross-functional product teams with shared ownership of customer outcomes, not only technical delivery.
• Experience using product analytics, experimentation, customer feedback, or support data to guide product iteration.
• Experience using AI coding tools in a professional software delivery workflow, ideally within a spec-driven development framework.
• Experience with relational database design and SQL query optimisation, preferably PostgreSQL.
• London-based, with the ability to work from our London office on a hybrid basis.
• Right to work in the United Kingdom.
  

Benefits

We offer:

• A salary package aligned to the role and market
• 25 days annual holiday, plus one additional day for every year served, up to a maximum of 5 additional days
• Flexible working environment, including the option to work abroad
• Private healthcare for you and your immediate family, with discounted gym membership and access to optical, dental, and private GP services
• Enhanced parental leave
• Life insurance at 4x salary
• Employee assistance programme
• Company volunteering day and charity salary-sacrifice scheme
• Learning management system powered by Udemy
• Referral bonus and charity donation when someone you introduce joins the company
• Season ticket loan, Cycle to Work, electric vehicle, and Techscheme programmes
• Pension scheme
• Company-sponsored lunches, dinners, and social gatherings
• Fully stocked kitchen with drinks, snacks, fruit, and breakfast cereals

Equal Opportunity Statement

Plentific is committed to building a diverse and inclusive team. We welcome applications from candidates of all backgrounds, regardless of race, ethnicity, national origin, religion, sex, gender identity, sexual orientation, age, disability, or any other characteristic protected by law. If you need any adjustments to participate in our hiring process, let us know and we will accommodate you.