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Product Manager | Kimchi AI Coding Platform

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Product Manager | Kimchi AI Coding Platform
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Product Manager | Kimchi AI Coding Platform based in United Kingdom.
As a Product Manager, you will help shape an emerging AI coding platform focused on how engineering organizations build and operate AI-powered software. You will work across AI coding, agents, inference, model orchestration, governance, and supporting infrastructure. This is a greenfield role where the most important problems are not always clearly defined, requiring strong discovery, product judgment, and analytical thinking. You will work closely with engineering, design, customers, and go-to-market teams to turn early insights into validated opportunities and 0→1 products. Success will involve more than launching features: you will be accountable for adoption, customer value, and continuous iteration. This is an opportunity to influence both the product direction and the way a rapidly evolving AI product organization operates.
Accountabilities
- Explore customer needs, usage data, technology developments, competitive products, and market signals to identify high-value problems and product opportunities.
- Turn ambiguous opportunities into clearly defined problems, hypotheses, assumptions, experiments, and product direction.
- Lead 0→1 product development from initial insight and discovery through validation, launch, adoption, and iteration.
- Design efficient ways to validate whether problems are meaningful and proposed solutions deliver measurable customer value.
- Make prioritization decisions based on customer evidence, product data, market signals, technical constraints, and strategic considerations.
- Conduct customer discovery, observe workflows, understand underlying motivations and constraints, and distinguish individual requests from broader market needs.
- Partner closely with engineering and design teams to shape solutions and evaluate technical possibilities and trade-offs.
- Define customer and business outcomes, establish appropriate success metrics, and use evidence to guide product decisions.
- Remain accountable after launch by monitoring adoption, usage, customer value, and opportunities for improvement.
- Create concise product narratives, one-pagers, PRDs, decision documents, and other written materials that align distributed teams around priorities and rationale.
- Communicate complex technical and product concepts clearly to both technical and non-technical stakeholders.
- Help shape the evolving product strategy, customer understanding, market positioning, and product development practices.
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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
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.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
- Significant experience owning software products end-to-end at a Senior Product Manager level or equivalent.
- Strong 0→1 product management experience, taking products or significant product areas from ambiguous opportunities through discovery, validation, launch, and iteration.
- Demonstrated ability to operate effectively in ambiguous, greenfield, rapidly changing, or emerging product environments.
- Strong product judgment and problem-selection skills, with the ability to determine which opportunities are worth pursuing before investing heavily in solutions.
- Excellent customer discovery skills and the ability to uncover underlying problems rather than simply responding to stated feature requests.
- Strong analytical capabilities, combining qualitative insights, product data, market signals, and technical constraints to make informed decisions.
- Experience working closely with highly technical engineering teams and sufficient technical curiosity to understand complex systems, possibilities, and trade-offs.
- Strong written and verbal communication skills, particularly the ability to simplify complex topics without losing important nuance.
- Demonstrated bias toward experimentation, learning, and evidence-based decision-making rather than relying on large upfront plans.
- Comfort making decisions with incomplete information and changing direction when new evidence warrants it.
- Hands-on experience using modern AI tools and an active interest in understanding how LLMs and AI agents affect both products and product development workflows.
- Experience with developer tools or products built for software engineers is a plus.
- Experience with AI/ML products, LLM infrastructure, AI agents, or AI-powered developer tools is advantageous.
- Experience with infrastructure, platforms, APIs, or technically complex B2B products is beneficial.
- Experience discovering product-market fit, working at an early-stage startup, or launching new products within a larger organization is a plus.
- Experience with enterprise products and direct customer engagement during discovery and product development is advantageous.
- Ability to work independently, take ownership, and thrive in a fast-moving distributed environment.


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Benefits
- Competitive salary.
- Flexible, remote-first working environment.
- Equity options.
- Opportunity to collaborate with a global team of cloud and technology specialists.
- Fast-paced product development environment, with many feature projects completed within 1–4 weeks.
- 10% of work time dedicated to personal projects or self-improvement.
- Learning budget for professional and personal development, including international conferences and courses.
- Annual hackathon focused on experimentation, innovation, and team collaboration.
- Team-building budget and company events.
- Equipment budget to support an effective remote working setup.
- Additional days off to support work-life balance.
- Opportunity to work on emerging AI coding, agent, inference, and infrastructure products.
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.
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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