Crosslake Technologies

• Design and build full-stack applications from concept to production • Own the full SDLC: design, development, testing, deployment, and iteration • Work within a small pod to deliver quickly with a high degree of autonomy • Contribute to architecture and make pragmatic technical decisions • Use AI tools to accelerate development, testing, and code quality • Iterate rapidly while maintaining a strong bar for reliability and maintainability

• Design and build shared backend services and APIs used across multiple systems • Define service boundaries, contracts, and data models • Own the full SDLC: design, development, testing, deployment, and iteration • Contribute to domain modeling and system design decisions • Ensure services are scalable, reliable, and reusable • Improve system cohesion and reduce duplication across tools and products • Use AI tools to accelerate development while maintaining high code quality

• Design and build full-stack applications from concept to production • Own the full SDLC: design, development, testing, deployment, and iteration • Work within a small pod to deliver quickly with a high degree of autonomy • Contribute to architecture and make pragmatic technical decisions • Use AI tools to accelerate development, testing, and code quality • Iterate rapidly while maintaining a strong bar for reliability and maintainability

• Perform network-based penetration testing for our clients to identify, assess, and report on vulnerabilities in their public facing infrastructure. • Perform penetration testing on web applications and APIs (internal and external) to identify, assess, and report on vulnerabilities in their applications. • Perform red team exercises to determine where weaknesses in the client’s infrastructure and how it should be remediated. • Write clear, concise, effective deliverable reports for clients to help them understand their risk posture and how they can reduce it. • Advise clients on security best practices including application design, infrastructure architecture design, and other considerations. • Collaborate with other Crosslake practitioners to socialize penetration testing best practices.

• Own project plans, facilitate daily scrums, manage releases end to end, and keep cross-functional teams on track. • Serve as the day-to-day point of contact for delivery and execution across the organization. • Build and maintain high-level project plans with clearly defined milestones and deadlines. • Track progress across teams and drive accountability to keep work on schedule. • Facilitate daily stand-ups for delivery teams. • Own the release checklist from readiness through deployment, ensuring the right reviews and sign-offs are completed before anything ships. • Schedule and run deployment meetings with the external DevOps partner. • Keep project tracking tools and release artifacts clean and reliable so teams and stakeholders can trust the data.

• Manage client-facing project teams to deliver projects that meet their objectives on time and on budget • Drive and participate in company-wide strategy and vision discussions • Cultivate and build client relationships with top-tier accounts (site visits, QBRs, etc.) • Drive specific practice areas and set roadmaps/plans • Capable of scoping an engagement • Interview practitioner candidates and help make engagement determinations • Onboard, train and mentor new practitioners • Accountable for internal budgeting, scheduling and resource utilization • Approve SOWs, budgets and timesheets • Contribute to evolving practice templates, methodologies, and artifacts • Serve as project lead or second on engagements as needed • Play a leading role in shaping and closing engagements, including solutioning, scoping, and proposal development • Set and enforce a high bar for written communication, including grammar, formatting, and visual quality across all outputs • Review and elevate client deliverables to ensure clarity, rigor, and executive-level polish (content, structure, and presentation)

• Design and build end-to-end features across frontend and backend systems • Develop scalable, maintainable, and secure software architectures • Implement AI-powered features using LLMs, embeddings, agents, or ML services • Use AI productivity tools to accelerate development, testing, and documentation • Collaborate with product, design, and platform teams • Participate in code reviews and contribute to engineering best practices

• Work with technology companies to identify improvements of existing technology, organizations, processes, and tools used to develop software products and services. • Work with private equity companies and other investment firms to help them understand the technology strengths, risks, and opportunities for improvement for potential investments (I.e. technical due diligence) • Design and implement solutions from scratch (e.g. Agile methodology transformations), guiding and mentoring more junior software developers and other engineers. • Collaboratively work in partnership with internal and client technical leads and team members.

This is a role for a senior product leader who wants to apply deep expertise at the intersection of product strategy, AI, product commercial success and private equity ownership. As a Product Management Lead Consultant, you will bring your product expertise to bear on the most consequential questions facing investors today: Is this product defensible? Is the AI strategy credible? Can this team execute? Where is the real growth opportunity? You will work directly with investment teams helping them understand investment risks, and what it will take to realize the upside. Engagements move quickly, the companies are diverse, and the work demands both analytical precision and strategic judgment. What You'll Do: Lead and contribute to product assessments for investment firms and portfolio companies across the full investment lifecycle, from pre-close diligence through post-close value creation and exit preparation. Evaluate the strength, credibility, and competitive defensibility of a target company's product strategy, roadmap, and go-to-market approach. Assess how AI and machine learning are embedded in a company's product, distinguishing genuine capability from surface-level positioning, and articulate the implications for competitive advantage, risk, and value creation. Analyze product-market fit, customer segmentation, expansion opportunity, and the assumptions underlying growth projections. Review product team structure, delivery capability, execution track record, and organizational readiness for growth. Conduct primary research including executive interviews, customer discovery conversations, and expert network engagements. Synthesize findings from documentation, market research, and interviews into structured, investment-grade deliverables. Communicate complex product and market dynamics clearly and concisely to deal teams, investment committees, and company leadership. Advise portfolio company product leaders on strategy, prioritization, and capability development post-close. A Note on AI Expertise: AI is no longer a feature; it is rapidly becoming the central axis of competitive advantage and disruption risk in B2B software. We are specifically looking for practitioners who have shipped AI-powered products or built AI strategy at the product leadership level, and who can evaluate the credibility, maturity, and risk surface of another company's AI approach with firsthand authority. The ability to distinguish genuine AI differentiation from vendor-dependency or marketing narrative is a core skill for this role.

• Lead and contribute to product assessments for investment firms and portfolio companies across the full investment lifecycle. From pre-close diligence through post-close value creation and exit preparation. • Evaluate the strength, credibility, and competitive defensibility of a target company's product strategy, roadmap, and go-to-market approach. • Assess how AI and machine learning are embedded in a company's product distinguishing genuine capability from surface-level positioning, and articulate the implications for competitive advantage, risk, and value creation. • Analyze product-market fit, customer segmentation, expansion opportunity, and the assumptions underlying growth projections. • Review product team structure, delivery capability, execution track record, and organizational readiness for growth • Conduct primary research including executive interviews, customer discovery conversations, and expert network engagements. • Synthesize findings from documentation, market research, and interviews into structured, investment-grade deliverables. • Communicate complex product and market dynamics clearly and concisely to deal teams, investment committees, and company leadership. • Advise portfolio company product leaders on strategy, prioritization, and capability development post-close