Top Tech Jobs & Startup Jobs in NYC, NY

Design and validate product experiences through research, wireframing, prototyping, usability testing, and polished Figma specifications. Collaborate with Product, Engineering, Data, and UX Research teams; lead workshops, advocate for evidence-based inclusive design, support engineering implementation through QA, and contribute to Taskrabbit’s design system and critique process.

Own Taskrabbit’s global commerce platform covering client payments, Tasker payouts, payment reliability, compliance, and cost optimization. Lead backend engineering initiatives, prioritize the roadmap, investigate payment issues, improve conversion and payout speed, and partner with Finance, Accounting, Tax, Support, Risk, and Legal. The role requires deep B2C payments expertise, systems-level understanding, strong prioritization, stakeholder management, and independent execution.

Leads Taskrabbit’s visual identity and art direction across campaigns, marketing, product, and partner channels. Directs photo and video productions from concept through post-production, develops scalable visual systems and brand guidelines, creates cross-channel assets, and maintains the asset library. Partners with creative and business teams, coaches designers, introduces efficient workflows, and uses performance insights to optimize creative. The role combines strategic campaign concepting with hands-on visual design and production leadership.

Lead data science initiatives supporting Product and Commercial Operations. Analyze growth opportunities, define success metrics, conduct experimentation and causal inference, and deliver actionable insights. Lead initiatives such as experimentation systems and data agents while promoting strong analytical practices. Partner with stakeholders to drive measurable product impact, minimize marketplace losses, and communicate complex findings to executive audiences.

Drives platform modernization across engineering teams by applying target-state architecture, AI-assisted development, and Spec-Driven Development. Partners directly with engineers and technical leads, contributes code and technical designs, guides migration strategy, reviews TDDs and RFCs, establishes engineering standards, and coaches teams on scalable backend, distributed-system, and event-driven architecture practices.

Lead the end-to-end development and operation of machine learning systems supporting customer retention, ranking, matching, recommendations, pricing, and lifetime value growth. Build scalable data pipelines and ML infrastructure across batch and real-time environments, while implementing model monitoring, observability, deployment, and performance optimization. Collaborate across engineering and science teams and promote strong software engineering practices.

Manage Tasker operations across assigned metropolitan areas by improving supply health, activation, booking conversion, retention, and revenue. Analyze marketplace data, coach Taskers, lead lifecycle programs and experiments, support community engagement, and act as a regional product and marketplace expert. Collaborate cross-functionally with Product, Support, Marketing, Legal, Partnerships, and Commercial Operations teams. The role requires English and Russian fluency, New York City hybrid attendance, and up to 10% travel.

Own and architect the core ranking system end-to-end: model design, production reliability, automated retraining, bias mitigation, personalization, and cross-functional technical leadership. Mentor engineers, drive roadmap, and scale experimentation and ML infrastructure.

Lead development and scaling of Taskrabbit’s global brand and content strategy. Build messaging architecture, manage cross-channel content programs, partner with Creative/SEO/Growth to produce scalable formats, prototype campaigns, and measure performance to drive awareness, engagement, and long-term demand.

Lead and grow a security engineering team as a technical player-coach; implement security tooling and automation across corporate, infrastructure, and application layers; define data-driven security strategy, OKRs, and KPIs; manage compliance with frameworks (SOC2, CIS, GDPR); lead incident response and threat modeling; govern AI/ML security risk; and drive security culture and cross-functional education.