Accountabilities

You will lead the innovation process from idea generation to product validation, balancing customer discovery, technical execution, and team development. Your responsibilities will include:

Managing the pipeline of product concepts by capturing, evaluating, sizing, and prioritizing ideas, documenting assumptions and keeping leadership informed.

Taking funded concepts from discovery to a working MVP within a defined timeframe, typically one quarter, with a named customer or design partner involved in testing.

Defining measurable success criteria for each initiative and tracking outcomes such as usage, conversion, willingness to pay, and support requirements.

Making evidence-based go/no-go recommendations, transferring validated products to established product teams with a documented roadmap and operational runbook, and recording lessons from unsuccessful experiments.

Providing weekly updates to the Chief Product Officer on progress, risks, ownership, and deadlines.

Selecting the most effective technical approach for each concept, evaluating whether to build, buy, reuse, or adopt open-source solutions.

Building prototypes and demonstration environments when needed, while reviewing technical designs and code produced by the team.

Ensuring MVPs are sufficiently production-ready for real customer environments, including packaging, safe deployment, rollback procedures, and observability.

Collaborating with architecture and product teams to ensure successful MVPs can be integrated without requiring extensive redevelopment.

Leading and developing a small, distributed engineering team through regular one-to-ones, goal setting, performance reviews, and career development.

Managing recruitment activities, including defining role requirements, conducting technical interviews, onboarding, and mentoring engineers.

Establishing effective remote working practices that support asynchronous collaboration, documented decisions, transparent communication, and regular product demonstrations.

Promoting AI-augmented engineering practices by coaching the team on effective coding-agent use, including prompt quality, context management, code review, iteration, and error recovery.

Using AI coding agents to accelerate prototyping, generate test datasets, and prepare customer-facing materials.

Requirements

The ideal candidate combines strong software engineering expertise with proven product-building experience, practical discovery skills, and the ability to lead a small technical team. The following qualifications are expected:

At least 5 years of professional software engineering experience.

At least 2 years of experience leading a small team, as a team lead, technical lead with people-management responsibilities, founder, or engineering manager.

Demonstrated success taking at least one product from concept to its first paying customers, as well as experience recognizing when to discontinue an initiative that is not delivering results.

Strong Linux proficiency at software engineering level, with the ability to build and review code in a modern programming language such as Python, Go, or TypeScript.

Experience debugging live systems directly in their operating environment.

Practical product discovery skills, including customer interviews, assumption mapping, pricing experiments, and independent analysis of usage and conversion data.

Ability to quickly understand complex technical domains and make informed architectural decisions.

Proven people leadership experience, including one-to-ones, performance discussions, recruitment, and engineer development.

Experience working with AI-assisted or agentic software development workflows.

Professional proficiency in written and spoken English.

Availability to work European business hours.

The following experience would be considered an advantage:

Familiarity with the web hosting ecosystem, including cPanel/WHM, Plesk, DirectAdmin, or infrastructure operations for hosting providers.

Background in security products such as runtime protection, web application firewalls, malware detection, vulnerability management, or patching.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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