I lead AI-native products from strategy to delivery.
I originate product vision and strategy, validate market opportunities, and personally define product features, roadmaps, backlogs and sprint priorities. I lead cross-functional teams through AI-native prototyping, technical definition, testing and delivery, with deep expertise in UX, conversion strategy and product execution.
Client Advisory Boards, interviews, heatmaps and user analytics
Product vision, self-directed backlogs, MVP scope, epics and roadmaps
AI-assisted prototypes, React/Next.js and technical product requirements
Customer retention, monetization and cross-functional product leadership
I originate the vision, define the features, build the roadmap and backlog, and set sprint priorities for the products my teams work on. My decisions are informed by deep competitive, market and behavioral research, with validation down to individual interactions before concepts reach user testing.
Across more than 15 years of product leadership, consulting and startup work, I have led product and UX strategy sessions focused on defining stakeholder vision, validating markets, identifying competitive opportunities and improving conversion. I coach teams to support each feature, flow and interaction with research, customer psychology and evidence rather than visual preference.
SaaS platforms · Digital marketplaces · Fintech · B2B marketing & lead intelligence · IT consulting & sales enablement · Startup product development · Product strategy consulting · Customer acquisition & conversion · Online education & learning platforms
I define what the product should become, set its roadmap, write and organize the backlog, frame epics and features, and decide which initiatives enter upcoming sprints.
I use market analysis, best-in-class and out-of-category audits, and competitor benchmarking to uncover opportunities and establish the product’s differentiated value.
My design teams validate the rationale for micro-features, behavior, flows, navigation, messaging and interaction patterns against research before a prototype reaches usability testing.
I apply customer motivations, persuasive messaging, onboarding friction, conversion strategy and retention principles to product decisions. I also served as the sales subject-matter expert for an IT consulting firm’s instructional design team.
I develop product vision in close collaboration with stakeholders, often as the primary product stakeholder. I capture the intended customer experience in detailed notes, define the decisions behind each feature, and carry that vision through backlog, design, implementation and review. I don't treat a wireframe as validation.
Lead stakeholder discovery, document goals and constraints in detail, reconcile perspectives, and make the product's intended behavior explicit down to flows, states and micro-interactions.
Apply advanced UX psychology, sales psychology and conversion strategy to anticipate questions, hesitation, trust signals, expectations and decision-making before customers articulate them.
Establish recognizable, best-in-class interaction patterns, then use cross-category inspiration and innovation strategy to identify meaningful differentiation instead of novelty for its own sake.
Teach designers to evaluate market evidence, competitive patterns, conversion psychology and individual feature decisions. I also authored curricula for the Start Launch Program and Accelerated Growth Strategy Program.
I set product direction from the ground up: vision, market opportunity, differentiation, feature scope, backlogs and roadmaps. I validate the strategy and detailed UX before guiding cross-functional teams through AI-native prototyping, implementation and outcome measurement.
Client Advisory Boards, interviews, usability testing, heatmaps, click and scroll analytics, surveys and customer feedback.
Self-directed product vision and innovation strategy; competitive positioning, best-in-class and adjacent-market analysis, monetization and evidence-led investment decisions.
Personally define epics, features, backlogs, MVP scope and sprint priorities. Decide what to build, simplify or defer based on market evidence, business value, dependencies and capacity.
AI-native prototypes, React/Next.js delivery, API and microservice requirements, engineering constraints, data models, edge cases and acceptance criteria.
Advanced product UX, sales and conversion psychology, onboarding, activation and retention. Research-validate micro-features, interactions, user flows and messaging before usability testing.
Documentation-first product delivery: product requirements, service and API specifications, user stories, acceptance criteria, edge cases, AI-assisted prototypes, Test-Driven Development, QA test plans and release criteria. Engineers work from documented, testable scope.
Find the customer problem, validate the commercial opportunity, prioritize a valuable MVP, and test ideas with working prototypes. I align teams around measurable product goals and balance speed, cost, quality and technical possibilities as decisions move toward delivery.
Talk to users, clients and stakeholders; collect evidence.
Audit competitors, market leaders and adjacent categories.
Define MVP scope and future roadmap around value and effort.
Prototype and optimize interfaces and decision flows.
Define technical requirements, acceptance criteria, edge cases and development test cases before coding.
Coordinate test-driven implementation, verify expected behavior with QA, then measure and iterate.
I translate validated strategy into working prototypes and testable requirements, then stay involved as teams move from definition to delivery.
feature: onboarding-flow condition: first-time-user require: clear-next-action expected: successful-activation
Product requirements, user journeys, interface states, user stories, acceptance criteria and edge cases.
AI-assisted working prototypes, API contracts, service boundaries, integration dependencies and engineering specifications.
Test scenarios, release criteria and a documentation-first approach that makes features testable before coding. I resolve scope and implementation questions throughout delivery so product, design, engineering and QA share the same intended experience.
I define products through market and competitive evidence first, not visual preference. I assess customer segments, best-in-class solutions, adjacent-category patterns and commercial opportunities, then validate even small feature and interaction choices before usability testing or roadmap commitment.
I study direct competitors, best-in-class products and out-of-category experiences; compare customer expectations, underserved needs, market positioning, buying motivations and commercial potential to identify a credible point of differentiation.
I work from client conversations, user interviews, feedback, support patterns, heatmaps, behavior analytics and usability studies. I separate recurring problems from isolated feature requests and challenge assumptions before they become roadmap commitments.
Before user testing, I challenge each proposed micro-feature, interaction, flow and message against market research, product patterns and conversion principles. I then use working prototypes and usability studies to test the experience, investigate friction and refine the solution with engineering and QA.
I evaluate the target customer, their current alternatives and the competitive landscape before deciding what the product should offer and which bets deserve engineering capacity.
Segment the audience, review customer feedback and current workarounds, and distinguish recurring problems from isolated requests.
Compare competitors, existing customer expectations, barriers to adoption and possible differentiation to shape the value proposition.
Balance customer value and commercial potential with build cost, engineering dependencies, technical feasibility, speed and quality.
I connect product goals to customer and business measures such as activation, retention, task success, adoption and conversion. Research, behavioral analytics and usability testing help me diagnose friction, choose the next investment and evaluate whether a product decision is working.
Customer churn reduction · ReferrizerProduct and customer-experience improvements focused on retention, onboarding and long-term customer value.
Checkout usability task completion · Marketeq ProjectsFive participants completed eight test tasks; hesitation by three participants at the primary action informed a review-first checkout redesign.
Scope and positioning decisions · Marketeq Projects & LeadIQPrioritized essential marketplace journeys and core prospecting capabilities, deferred nonessential features, and sequenced delivery around customer value and technical dependencies.
I also design Client Advisory Board research programs, including recruitment criteria, interview protocols, usability tasks, feedback synthesis and decision-making frameworks.
I validate the product concept and its individual decisions from several research angles before putting a prototype in front of users. Testing then challenges what the earlier research suggested, instead of being the first time the idea is evaluated.
Define the stakeholder vision and hypotheses; audit direct competitors, best-in-class products and out-of-category examples; study market and customer behavior; assess positioning, innovation and conversion rationale. Validate flows, messages, micro-features and interactions before committing to a design direction.
Use moderated tests, interviews, heatmaps, click and scroll behavior, funnels and analytics to examine comprehension, friction, trust and task completion. Use findings to refine the product, recheck assumptions and prioritize changes.
Competitive evidence provides an informed starting point; direct customer research and observed behavior test whether those assumptions hold. I use both to make stronger product decisions.
I personally build the product backlogs and roadmaps, define the features and epics, and set sprint priorities. Research and client input inform the work; cross-functional reviews and voting surface insight and risks. I make the final calls on sequencing, scope, staffing and what moves forward.
Bring together customer and client research, market gaps, product analytics, stakeholder requests and strategic goals. Frame each candidate epic around the problem, expected value and evidence.
Bring my proposed epics and sprint priorities to product, design, engineering and QA for review. Use structured voting and discussion to challenge assumptions and uncover risks; I retain accountability for the final roadmap and sprint sequence.
Evaluate customer impact, market opportunity, commercial potential, effort, technical dependencies, delivery risk and team capacity. Advance, simplify, defer or remove work accordingly.
Break the approved scope into build-ready stories and acceptance criteria, assign the relevant cross-functional squad and align its sprint commitments, QA requirements and success measures.
I prioritized the client and talent journeys first, then planned related features around technical readiness. Time tracking precedes payouts; billing enables transactions. That keeps squads focused on work that unlocks the next useful product milestone.
I documented 26 TradeLab epics to organize product scope into actionable initiatives and provide a foundation for roadmap prioritization, requirements and delivery planning.
I scoped the first Marketeq marketplace, designed how LeadIQ’s AI agents work together, and led product improvements that helped Referrizer retain more customers.
Defined marketplace workflows, policies, API and integration requirements across 36 NestJS microservice folders. Led AI-assisted development of a 94-route Next.js interface and governance of 70 core UI components and 104 Storybook stories.
Product vision · Technical requirements · AI-native executionScoped core client and talent journeys, search, onboarding and checkout. Simplified project editing rather than delaying the MVP for a larger planning tool; sequenced epics by dependencies and established clear acceptance and QA handoffs.
MVP strategy · Product prioritization · Technical feasibilityLed product, customer-experience and retention initiatives across onboarding, dashboards, marketing workflows and lifecycle journeys. Aligned research, redesign priorities and roadmap decisions with acquisition, activation and retention goals.
Customer retention · Product strategy · Business impactDefined and documented LeadIQ’s specialized AI agents and conversational orchestration system so users could describe business goals, audiences and campaign needs in natural language instead of navigating every workflow manually. Designed agents to interpret prospect and campaign data, identify meaningful patterns and opportunities, recommend next actions and coordinate audience, prospecting and campaign workflows. Scoped the underlying B2B intelligence platform across approximately 30 implemented FastAPI services.
Agentic product strategy · Data interpretation · Conversational orchestrationDefined and organized product and technical documentation spanning 56 services across Marketeq Projects and LeadIQ. Connected product workflows to service responsibilities, integration requirements, API behaviors, acceptance criteria and QA scenarios, giving multidisciplinary teams a shared blueprint for implementation and validation.
Technical product strategy · Service requirements · Cross-team executionI choose what matters now, what can wait and what has to change so a team can build something useful without unnecessary complexity.
My decision: Focus the initial marketplace on profiles, listings, search and onboarding. Defer work that does not unlock the core client and talent experience, and sequence later systems around dependencies.
Customer value / Scope / Time to marketMy decision: Simplify project editing during checkout rather than delay the MVP for a full planning experience. Use usability-test hesitation to guide a review-first flow.
Usability / Feasibility / Delivery speedMy decision: Prioritize audience definition, AI agents and goal-driven orchestration ahead of the landing page. Design the experience so customers can explain campaign objectives and let coordinated agents handle the workflows, with the traditional interface remaining optional.
AI-native product vision / User experience / Roadmap prioritizationMy decision: Require product specifications, acceptance criteria and QA cases before an epic reaches development, with clear product, engineering and QA ownership in each staffed squad.
Delivery readiness / Quality / AccountabilityI personally interviewed, recruited, selected and trained people across product, UX, engineering and QA. I then organized contributors into 22 epic-based Scrum squads, assigning clear ownership, developing team leads and guiding delivery across product initiatives.
Personally interviewed, recruited and selected UX designers and product professionals, then trained 120+ UX designers across my career in advanced product and innovation strategy, competitive and market analysis, best-in-class and out-of-category auditing, conversion strategy and research-backed feature decisions. Also recruited and coached product managers, business analysts and Scrum Masters.
Interviewed and recruited technical contributors across frontend, backend, full-stack and AI engineering, then led them through documented product requirements and priorities. Formed a separate data science team and made developers responsible for documenting their own work and product decisions.
Established QA, DevOps and delivery standards across squads, with defined acceptance, escalation and handoff practices.
Established a strategy-first, research-backed product process: challenge market assumptions and validate detailed UX decisions before usability testing; then define build-ready specifications, acceptance criteria and QA cases. Trained designers to defend product choices with evidence, and coached developers and data science contributors to understand the user problem behind their work.
15+ years combining product strategy, advanced UX, technical product direction and leadership. I have owned roadmaps and MVP scope, translated customer insights into implementation, and helped teams deliver complex digital products.
Owned product vision and prioritization for Marketeq Projects and LeadIQ; directed AI-assisted prototyping, technical requirements, 22 epic-based Scrum squads and a separate data science team. Established documentation-first delivery and trained engineers to think beyond ticket completion.
Led SaaS product strategy, roadmaps, UX and growth initiatives, including onboarding and retention improvements that contributed to a 43% reduction in customer churn.
Advised on discovery, product positioning and MVP priorities for an AI-focused workforce intelligence platform.
Led consumer-platform product vision, market differentiation, customer research, MVP decisions and cross-functional backlog planning.
Led product research, enterprise UX, product positioning and requirements across multiple consulting engagements, enterprise products and digital businesses. Facilitated strategy reviews to shape product direction and interaction decisions.
Advised founders on customer discovery, competitive differentiation, growth and product priorities; created more than 200 training videos.
Jira, Linear, ProductBoard, Asana, Trello, Confluence, product vision, roadmaps, epic ownership, backlog prioritization, MVP planning and Scrum delivery.
Figma, FigJam, Miro, Sketch, Adobe Creative Suite, Axure, interactive prototypes, usability testing, heatmaps, click/scroll analytics and design systems.
React, Next.js, Tailwind CSS, TypeScript familiarity, GitHub, AI-assisted coding, API/microservice specifications, technical requirements and Test-Driven Development.
Excel, conversion funnels, cohort and retention analysis, KPIs, Net Promoter Score (NPS), user behavior analytics and experiment findings.
Product requirements documents, technical architecture, service-level specifications, API contracts, UX requirements, user stories, acceptance criteria, edge cases, architecture decisions, QA plans, test cases, SOPs and cross-team handoffs.
Claude Code / CLI, Claude Desktop, ChatGPT, OpenAI Codex and Figma MCP for working prototypes, AI-native MVPs, research synthesis and code review.
Open to Senior AI-Native Product Manager, Senior Technical Product Manager and Lead Product Manager roles where market insight, product judgment, AI-native execution and cross-functional leadership create meaningful customer and business value.
Discuss an opportunity