Highlights

• Location: Poland, 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:

• 31 days of paid time off
• 100% paid telemedicine plan
• Home office setup assistance
• English learning courses
• Professional education budget
• Gym or swimming pool membership
• Co-working support
• Fully remote work

Overview: Given the rising importance of using AI tools and agents, trusted data is more important than ever—better data means better decisions.   We are seeking a motivated Senior IP Tech & Product Counsel to provide strategic legal guidance and support to Precisely’s dynamic, innovation-driven, global organization on a variety of intellectual property, technology product development, and product licensing issues, with a particular focus in data products and data licensing. This role partners closely with our supplier, product (engineering, product management, and data product), marketing, commercial, compliance, privacy, legal and security teams to ensure that our products, services and platforms are designed, deployed, contracted and marketed in compliance with IP, data, and regulatory requirements as well as business needs. The ideal candidate will appropriately balance risk while optimizing business growth in providing legal guidance to our global commercial teams and through analysis and negotiation of technology and data licensing related agreements. Additionally, this exciting role includes collaborating with internal business partners, and advising on existing and new product, feature and data development, from conception to pilot to launch, requiring a global mindset and in-depth knowledge of IP law, data licensing, AI/ML issues, open-source, open data, software and digital technology issues.  The ideal candidate will demonstrate the ability to combine strong business acumen with advanced negotiation capabilities for technology related agreements, balance legal risk with speed-to-market, as well as show the ability to influence product strategy through technology and data fluency and a nuanced understanding of IP and data issues.

What you will do:

As Senior IP Tech & Product Counsel with Precisely, you will play a key role in closing deals with our Supplier, Partner and client-facing teams as well as working with our Legal counterparts, Products, Marketing, and other departments for product counseling, data, and Intellectual Property matters, key responsibilities including:

Intellectual Property & Data Counseling

• Draft, negotiate, and advise the business on a variety of agreements and IP and technology clauses and legal issues in supplier, partner, and customer technology and data related agreements, including various supplier/partner terms (reseller, comarketing, co-selling, OEM, and more), data use, data licensing, AI/ML, software on-prem and SaaS platforms, IP development, IP ownership/licensing,  and other commercialization of IP and license grants, based on an understanding of the products, data, business and customer objectives, required flow down obligations, and legal positions. 
• Draft, negotiate and advise on various technology-related agreements from open source software licenses, open data licenses, EULAs, online terms (click-throughs, shrink-wraps, and other no-touch terms), SaaS and other cloud-based terms, AI/ML Addendums, EU Data terms, evaluation and beta trials, and other technology-regulation related terms.  
• Assist in drafting, maintaining, and training others in technology and data specific contract templates, fall back language, and legal positions, including provisions covering data licensing, data use, AI/ML, SaaS, IP ownership/licensing, assignment issues, SLAs, and risk provisions related to the same (warranties, indemnities, limitations on liability, insurance, remedies, wind-down and termination) across software, SaaS, support/service and data-driven products. 
• Assist on a variety of intellectual property matters, including trademarks, patents, trade-secrets, and copyright issues, including prosecution work with external and regional counsel, IP claims, licensing issues, as well as IP portfolio management and other IP work including assisting in developing and implementing IP strategies for proprietary technologies, algorithms, and data models. 
• Oversee open-source software (OSS) and open-data (OD) compliance, including license reviews, risk assessments, and developer guidance and training. 
• Advise on data acquisition, usage rights, data sharing agreements, and other data transfer mechanisms and licensing for structured and unstructured datasets. 
• Advise on and ensure compliance with data regulations (EU Data Act, EU AI Act) and cross-border data transfer requirements as well as provide guidance on AI/ML data training, model ownership, and output rights. 
• Assist with IP diligence in M&A, investments, and vendor selection; advise on IP assignments and transition services.   

Product Counseling & Emerging Technology

• Serve as a primary legal advisor for product development lifecycle, from ideation to launch. 
• Conduct risk assessments and regulatory compliance for new products, features, APIs, and integrations involving IP and data. 
• Support data monetization initiatives, including structuring agreements for data products and data-as-a-service (DaaS) offerings. 
• Assist with guidance on AI use, integration, and governance, including bias mitigation, transparency, and compliance with emerging AI regulations, with support from AI related counsel and manager. 
• Review product terms of service, EULAs, and developer agreements for IP and data issues, updates and compliance. 
• Partner with Privacy Counsel and Security teams to align product design with privacy-by-design and security-by-design principles. 
• Partner with Product Management, Marketing and Documentation teams on product UIs, disclaimers, EULAs/TOUs, branding, content, announcements, webpages, articles, customer interactions, product documentation and other product content.  
• Collaborate with Research & Development and Product teams to identify copyright and patent notifications, patentable inventions, manage trade secrets, and support patent filings with outside counsel. 

Governance, Policy & Enablement

• Assist with Development and maintenance of IP, data, OSS/OD, marketing, patents, and trade-secret policies and guidelines, and related playbooks, questionnaires and templates. 
• Assist with training Product, Engineering, and Data teams on topics such as IP, data licensing, and open-source compliance. 
• Monitor regulatory developments in IP, data, and AI law; update stakeholders on emerging risks and opportunities. 
• Support internal/external audits, due diligence, compliance certifications, insurance inquiries, IP complaints and disputes, coordinate litigation strategy as needed, and other reviews related to IP and data governance.        

What we are looking for:

• Law Degree from an accredited institution (or relevant local equivalent); and qualified and admitted to practice law in local jurisdiction. 
• 7-10 years of post-qualification experience in IP and technology law, with significant exposure to data licensing and product counseling (at least 4 years in-house experience preferred; top law firm experience a plus). 
• Professional fluency in English for advanced legal reading, writing, and communication. 
• Hybrid [or full-remote option] supporting global needs, specifically supporting US Eastern and EMEA time zones regularly.  While the role is based on local working hours, the selected candidate is expected (consistent with the demands of an international legal practice) to participate in meetings, reviews, or time-sensitive legal matters occurring during the US Eastern and EMEA time zones. The role is task-based rather than hours-based; occasional late meetings may be required depending on business needs.     
• Ability to work collaboratively and remotely with teams from across the globe, as needed, but also the confidence and efficiency to work autonomously. 
• In-depth knowledge of globally recognized IP concepts (trademarks, patents, copyrights, trade secrets, as well as ownership, licensing, and confidentiality), IP ownership, licensing, and enforcement, including in software and data-driven technologies, and their application in IP prosecution and contractual contexts. 
• Experience advising on open-source and open-data license compliance and AI/ML issues. 
• In-house experience at a technology company, SaaS provider, or data-driven enterprise. 
• Enthusiasm and experience in using AI‑powered tools to enhance legal research, drafting, and day‑to‑day workflow efficiency. 

Preferred requirements:

• Familiarity with cloud computing, APIs, data analytics platforms, and AI/ML product development. 
• Knowledge of export controls, cybersecurity regulations, and responsible AI frameworks. 
• Experience with IP portfolio management and IP strategy. 
• Comfort with legal tech tools (CLM systems, IP management software), approval matrices, thresholds, playbooks and self-service workflows. 
• Strong problem-solving capability, and the ability to handle ambiguity, particularly as it relates to the evolving landscape of technology and potential regulatory issues.  
• Ability to manage numerous matters on tight timelines and the ability to adapt to shifting priorities with flexibility and a pragmatic approach.  
• Experience working with and managing external counsel.  
• Self-motivated, intellectually curious, and willing to jump into new challenges and projects. 

Core competencies:

• Strategic Thinking: Aligns IP and data strategies with business objectives. 
• Technical Fluency: Understands software architecture, data models, and emerging technologies. 
• Risk Management: Balances innovation with regulatory and contractual compliance. 
• Influence & Collaboration: Builds trust with Product, Engineering, and Data teams. 
• Communication: Crisp advice, actionable guidance, executive-ready narratives, and simplifies complex legal technical concepts for non-legal and/or non-tech stakeholders and succinctly articulates solutions through a pragmatic business-oriented lens.  

Salary: 193 000 - 257 000 PLN gross per year - compensation is flexible and open for discussion, with the possibility of adjustment for candidates whose skills and experience strongly align with the role’s requirements

#LI-ZB1