Top Tech Jobs & Startup Jobs in Rochester, NY

Lead product security across the SDLC: threat modeling, secure architecture, vulnerability management, security testing and remediation, CI/CD/DevSecOps controls, AI security integration, bug bounty triage, developer training, and cross-functional security consulting to scale secure-by-design practices.

Lead and coordinate large, cross-team infrastructure platform programs from inception to delivery. Drive roadmap execution, manage dependencies and risks, communicate status to executives, and improve operational practices. Facilitate cross-team alignment, scrum-of-scrums, and partner with product and engineering leaders to ensure predictable, high-quality outcomes.

Design, build, and maintain scalable dimensional data models, semantic layer, and production transformation pipelines. Collaborate with Data Engineering, Data Science, BI, DevOps, and Product to enable AI-ready data, ensure data quality and governance, support ML feature delivery, and coach analytics team members for robust, production-ready data products.

Lead technical design and architecture for analytics engineering: build and govern the semantic/metrics layer, optimize dbt and Snowflake for performance and AI use cases, mentor engineers, partner with Data Science and Engineering, drive data quality, CI/CD, observability, and deployment of third-party data and emerging tooling to support analytics, ML, and agent-based products.

Lead and grow a team of analytics engineers while remaining hands-on with SQL, dbt, and Snowflake. Own roadmap and semantic layer development, build trusted, governed data products, partner with cross-functional stakeholders, champion data quality and observability, and hire and coach engineering talent to deliver scalable analytics and AI-ready foundations.

Sell Zscaler cloud-native Zero Trust solutions to commercial/private equity accounts. Build C-suite relationships, create long-term account strategies, collaborate with internal teams, act as trusted advisor, and drive net-new logo acquisition and quota attainment through direct and channel selling.

Design and deliver custom AI-driven legal workflows, implement and scale post-sales solutions, define KPIs and success metrics, inform product strategy, partner with Customer Success to demonstrate ROI, and maintain objective, ethics-compliant processes and playbooks for plaintiff law firms.

Lead design, development, and maintenance of scalable .NET web and Windows applications. Build RESTful APIs, integrate front-end frameworks, collaborate with cross-functional teams, drive architectural decisions, perform code reviews and testing, and support deployments and backlog reduction for the eApp portfolio.

Senior fullstack engineer to build and scale Brigit's consumer finance platform. Own end-to-end features across frontend (React/React Native/TypeScript) and backend (Java/REST/SQL), optimize database and APIs for high scale, integrate 3rd-party services, implement risk and transaction algorithms, improve CI/CD, testing, monitoring, and internal tooling to support millions of users.

Build and scale consumer-facing mobile and web applications and backend services. Own features end-to-end across frontend and backend, optimize databases and queries, integrate third-party APIs, implement algorithms for risk and transaction evaluation, improve reliability and CI/CD, and contribute to testing, monitoring, and internal tools to support customer operations.

Own and close complex enterprise SaaS deals (300–2,500 employees) with a heavy outbound focus. Build pipeline, run full sales cycle, conduct consultative discovery, negotiate $75k+ ACV contracts, collaborate with solutions engineers and cross-functional teams, and support onboarding and customer success. Travel up to 25%; remote-first (East/Central time zones) with SF onboarding.

Lead strategy and execution for enterprise identity, access control, and governance features. Partner with go-to-market, engineering, and design to build scalable RBAC, audit, and compliance capabilities for large customers and evangelize principles across the product.

Lead Revenue Operations, owning CRM architecture, data infrastructure, forecasting, reporting, compensation and territory design, and oversight of Deal Desk and Enablement. Drive GTM alignment, implement revenue technology and AI-powered automation, and support PLG and enterprise motions to scale ARR and operational efficiency.

Manage a portfolio of existing accounts to drive retention, renewals, upsells, and expansion. Monitor account health and usage, conduct business reviews, build account plans and forecasts, liaise with product/engineering/support, maintain CRM data, handle renewals and negotiations, and occasionally travel to customers or industry events.

Lead strategy, roadmap, and business performance for a core AI infrastructure product area. Conduct customer discovery, build business cases, define KPIs, prioritize roadmap tradeoffs using data, and partner cross-functionally to launch features that drive adoption, retention, revenue, and platform expansion while ensuring reliability, scalability, and measurable business impact.

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

Build and scale partner enablement programs, tools, and training to increase partner effectiveness and sales. Collaborate with Sales, Marketing, and Product to create partner-facing content, onboarding, and campaigns. Use data to measure adoption and impact, act as day-to-day partner enablement contact, and drive alignment between internal teams and partners.