Ali A. Malik

Human-data and evaluation infrastructure for frontier AI: expert annotation, RLHF, and rubric-based quality attestation.

• Own Sapien's core product, Proof of Quality: roadmap, evaluation framework, and success metrics for a rubric-graded layer where LLM judges and human experts score training data and agent outputs. Shaped V1 scope and wrote the launch specs.
• Ran 120+ customer discovery and go-to-market conversations as a forward-deployed PM. Those conversations produced the V1 requirements, 3 pilot proposals for security firms including CertiK and Sherlock, and a converted design partner whose CEO chose Sapien over extending his existing tooling after a live demo.
• Proved the product with a live enterprise partner by re-evaluating its AI security auditor against 5 senior human auditors: 21 of 40 findings flagged as false positives in 77 minutes, an auditable verdict on 98%, and an approved Phase 2 partnership.
• Designed and pressure-tested the pricing model in customer conversations, landing on pay-for-the-proof pricing and unit economics ($1,000 per project, per-event fees, $500 per report) so customers pay for verified quality instead of review hours.
• Resolved 5 launch-blocking defects in the V1 spec before engineering kickoff, including a quality metric defined two ways and AI review panels copying each other's votes. Wrote the rubric guardrails engineering builds against.
• Built Sapien's internal knowledge brain: a RAG index over all company documents, a Graphify knowledge graph, and a custom agent that answers from it, so planning, strategy, and team updates draw on one accurate source of truth.
• Ships code alongside engineers: 6 pull requests in the production monorepo, including a 7-layer release gate (UI regression, accessibility, LLM-persona evaluation) that guards every PR. Prototyped the rater marketplace MVP solo.

Design-to-code AI tooling that turns Figma files into production applications.

• Shipped 6 production web applications on Tempo's in-house LLM code-generation and agent platform, cutting delivery 40%.
• Ran 20 concurrent client builds, shipping 1 to 3 features weekly through agile sprints and roadmap ownership.
• Led 8 developers and 6 designers across fast product cycles, with AI copilots embedded in the design-to-code handoff.
• Integrated Stripe, BigCommerce, Odoo, and Sanity into modular build pipelines.
• Built an AI-powered feature tracker that centralized client feedback and gave every build a visible roadmap and delivery status.
• Led the consumer Kanban initiative that brought AI-assisted project management into daily client work.

NLP and behavioral analytics SaaS; 700,000 users across consumer, business, and marketplace products.

• Led 2 agile teams across 3 products (consumer, business, and marketplace), supporting 700,000 users with NLP analytics and data intelligence features.
• Owned the roadmap and KPIs for 34 sprints, shipping 70 features.
• Grew active users 35% through campaign experiments driven by behavioral analytics and predictive models.
• Managed enterprise accounts for Amazon, Electronic Arts, Logitech, and Riot Games at $1.5 million average deal size.
• Built end-to-end data flows for campaign operations, integrating inventory management, OCR receipt validation, purchase tracking, and fulfillment accuracy.
• Led the stack migration from Elixir and Rails to Node.js: scoped the feature set, wrote the development roadmap, and launched the new release cycles.

Social data and audience intelligence startup.

• Built and launched 2 consumer platforms serving 500,000 users with a 6-person team: an NLP analytics product over Instagram, Twitter, and web data, and a giveaways platform.
• Launched a live dashboard aggregating data from 120,000 browser extension users, with SQL-based insights and audience intelligence views.
• Drove 20,000+ users into the giveaways platform by integrating it with the browser extension's entry flow.
• Directed 2 major SaaS launches end to end, owning OKRs and cross-functional dependencies.
• Built data marketplace integrations with Snowflake, LiveRamp, and Eagle Alpha for downstream analytics, segmentation, and activation.