Highlights

• Location: Serbia, Remote (core hours 9:00–18:00 CET)
• Stock options
• Languages: Fluent in English and Russian
• Reports to VP, Product

About Fundraise Up

Fundraise Up is a global fundraising platform that powers tens of millions of dollars in donations every month for leading nonprofits — including UNICEF, the Alzheimer's Association, and a wide range of global NGOs. We're known for product quality, performance, and a 4.9/5 rating across top review platforms.

As we scale the core, we're deliberately investing in high-risk, high-upside product bets that could define the future of digital fundraising. That's where the Lab comes in.

The Lab

The Lab is Fundraise Up's 0→1 track. It operates ahead of the roadmap, investigating opportunities driven by new technologies, AI, data, and infrastructure shifts — often before there's a clear buyer or demand signal.

The Lab does not run scaled products. It finds, validates, and hands off the ones worth scaling.

The Role

This is a player-coach role. You'll build and lead the Lab function while personally owning 1–2 of the highest-leverage bets.

Your job is to reduce uncertainty, not ship features. You'll own ideas end-to-end — from hypothesis framing through fast experiments to explicit investment decisions: scale, pivot, or kill. Most ideas should die early. A few may graduate into Core or New Products with strong evidence behind them.

Success = learning velocity, decision quality, and team leverage — not output volume or adoption.

Key Responsibilities

• Portfolio & Strategy: Own the Lab bet portfolio. Size opportunities, set entry/exit criteria, and make decisive scale/iterate/kill calls. Maintain a visible exploration backlog.
• Experimentation: Frame experiments around the single riskiest assumption. Define kill criteria before building. Choose the right fidelity (prototype, spike, wizard-of-oz, no-code, live pilot). Ship fast and protect learning speed.
• Investment Decisions: Synthesize results into opinionated recommendations. Communicate what was tested, learned, and what remains unknown. Kill zombie initiatives — every experiment ends with a decision.
• Handoffs: When a bet shows strong signal, prepare validated hypotheses, evidence packs, risks, and a proposed scaling model. Transfer ownership fully.
• GTM & Partnerships: Source and close lighthouse pilots with clear scope, metrics, and off-ramps. Identify enabling partners and join strategic calls to move pilots to business validation.
• Team: Build a repeatable Lab Operating System (pipeline reviews, kill reviews, demo days, post-mortems).
• AI & Transparency: Use AI tools to accelerate research, synthesis, and prototyping. Explore AI-enabled product ideas with a realistic lens on cost, data, and accuracy. Publish decision memos and share failed experiments openly.

What Great Looks Like in 12 Months

• 3–5 high-risk bets tested with clear outcomes (scaled, iterated, or killed with rationale)
• 1–2 bets graduated to New Products or Core with evidence packs and clean handoffs
• A transparent kill list that saves months of misdirected effort
• A functioning Lab team with clear ownership, experiment discipline, and stakeholder trust
• A repeatable Lab Operating System that compounds learning

Requirements

Experience (Must-Have)

• 8–10+ years in Product with a proven 0→1 track record
• Personally owned multiple high-risk bets with explicit go/kill decisions
• 3+ years managing PMs (player-coach or group lead)
• Fluency across validation tools: discovery, prototypes, engineered MVPs — knows when each is appropriate
• Cross-functional leadership across Eng/Design/Analytics and GTM; comfort in pre-sales/pilot settings
• Experience where learning speed mattered more than polish and real downside risk was present

AI & Technical Judgment (Critical)

• Hands-on experience using AI as a product-building and exploration tool
• Can prototype with LLMs, APIs, or modern tooling and ship a functional prototype quickly
• Able to scope AI experiments realistically and judge feasibility without full engineering validation
• Can spot capability shifts and turn them into testable hypotheses
• Evaluates build vs. buy vs. partner decisions

This background often comes from: founder/co-founder roles, early-stage startups, internal labs/innovation teams, or new market bets inside larger companies.

Bonus

• Ex-founder with a clear ship/scale/kill story and measurable outcomes
• Payments, fintech, e-commerce, or nonprofit domain experience
• EU market familiarity (PSD2/SCA, data/privacy norms) and additional languages

This Role Is Not For You If…

• Your background is mostly in roadmap-driven delivery with stable scope
• You prefer incremental optimization of mature products
• You need long planning cycles and large teams to move
• You avoid pilot conversations or hesitate to ask customers for real commitments
• Ambiguity makes you uncomfortable

Why Work With Us

• Real ownership over high-impact bets with the authority and team to pursue them
• Leadership that values clear thinking over activity
• Permission — and expectation — to kill bad ideas early
• Access to real customers, real data, and real constraints
• Flat structure, transparent culture, and equity participation

Benefits

Our compensation package includes comprehensive benefits and perks, meaningful equity, and a competitive salary:

• Private medical insurance for the employee and their family
• 20 paid vacation days per year
• 15 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses.
• Relevant professional education.
• Gym or swimming pool.
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
• Co-working.
• Remote working.

Experienced Technical Recruiter - Serbia

People are at the center of this mission. Building the right team is existential. As an Experienced Technical Recruiter, you will play a critical role in identifying the engineers who define where AI goes next and who gets to benefit from it. This is a high-visibility role serving as the recruiting lead and sole talent owner for a critical Tenstorrent site.

This is not about filling seats. It is about building the infrastructure of intelligence with intention, clarity, and reach.

Who You Are

• Technical Expert: 7+ years of experience hiring for deeply technical roles across AI, ML, systems, hardware, or infrastructure. You know how to skill up fast on complex new specs.
• Owner & Pilot: You think independently and take deep ownership. You don't wait for direction; you seek signal, act on insight, and aren't afraid to pilot new strategies to find talent.
• Strategist: You understand how to map a region and nurture passive talent. Sourcing is your primary lever, not an afterthought.
• Trusted Advisor: A thoughtful communicator with the presence to influence stakeholders and maintain a high hiring bar while driving decisions.
• Principled: Grounded in the belief that who we hire shapes what we build. You have excellent judgment and can be trusted to negotiate fairly and handle compensation issues with nuance.

What We Need

• Site Ownership: Full-cycle ownership of critical searches across our Belgrade engineering and operations teams.
• Proactive Sourcing: Identifying talent beyond obvious pools and engaging passive candidates with authenticity.
• Influence & Partnership: Close collaboration with hiring managers to define roles, prioritize needs, and hold the line on quality.
• Operational Excellence: High-quality screening and candidate experience from first outreach to final offer.
• Data Integrity: Proactive communication with management and a commitment to data accuracy. "Not great with data" is not an option here; you will maintain the required reporting and use data to drive your engine.
• Independent Execution: The ability to align quickly with our vision and mission, making sound decisions on the fly.

What You Will Learn

• How to hire for one of the most ambitious technical missions in AI today.
• What world-class talent looks like across disciplines and how to recognize it early.
• How hiring choices shape organizational capabilities, long-term leverage, and company trajectory.
• How to balance urgency with care, and growth with focus, in a rapidly evolving space.
• How to build a talent engine that ensures AI is more open, inclusive, and broadly beneficial.