Infatica.io
Product Owner

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Infatica.io
Infatica.io is a global provider of proxy and DaaS solutions. We're building our own high-load web scraping platform: an API where you can submit any URL and receive clean HTML or structured JSON output, without worrying about proxies, CAPTCHAs, or anti-bot systems.
Key Responsibilities:
- Own the end-to-end lifecycle of the company's SaaS/DaaS products, including product strategy, roadmap, service quality, and customer value
- Define and maintain product requirements, service-level objectives (SLA), and quality standards to ensure reliable and consistent product performance
- Establish frameworks for measuring product quality, identifying issues, evaluating improvements, and supporting safe product releases
- Balance product performance, operational efficiency, and cost while optimizing the customer experience
- Validate new product ideas and concepts through rapid prototyping and experimentation before full-scale development
- Work closely with engineering, design, and business stakeholders to deliver high-impact product initiatives from discovery to launch
- Ensure product decisions align with security, privacy, and compliance requirements, including industry standards and regulatory expectations
- Prioritize initiatives based on customer value and business impact, making data-driven decisions about feature investments and product direction
- Monitor product performance, analyze user feedback and operational metrics, and continuously improve the product experience
- Communicate product vision, priorities, and trade-offs clearly across technical and non-technical teams
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
- Several years of experience in Product Management, preferably in SaaS, platform, data, or infrastructure products
- Experience delivering AI-powered or data-driven product features from concept to production, including defining requirements, measuring success, and monitoring product performance
- Strong analytical mindset with experience designing product success metrics, evaluating feature quality, and driving continuous improvements
- Ability to define clear product requirements, functional specifications, and service expectations for technical products and APIs
- Solid technical understanding with the ability to communicate effectively with engineering teams, discuss system performance, scalability, and product trade-offs
- Understanding of operational efficiency and cost optimization in cloud-based or AI-enabled products
- Familiarity with security, privacy, and compliance best practices, including standards such as GDPR and SOC 2
- Strong stakeholder management, prioritization, and decision-making skills in cross-functional environments


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Nice to Have
- Technical or engineering background with the ability to participate in technical discussions and design reviews
- Portfolio or case studies demonstrating successful delivery of AI-powered, data-intensive, or platform products
- Experience working with products that rely on data-driven models and continuous performance optimization
Benefits
- Participate in developing the company's key product from scratch
- High autonomy and influence on architecture and team decisions
- Budget for conferences, courses, and work tools
- Competitive compensation package
- Remote work flexibility
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