Top Tech Jobs & Startup Jobs in Rochester, NY

Own the end-to-end order lifecycle for APAC sales: forecasting, CRM/ERP management, product configuration, order-to-deployment coordination, production scheduling, and cross-functional readiness to ensure accurate execution, on-time delivery, and revenue realization.

The Data Scientist will analyze data for risk and trading in Daily Fantasy Sports, develop predictive models, and monitor real-time data.

Design, build, and operate core platform infrastructure for an Agentic AI platform. Collaborate with cross-functional and ML teams to enable scalable, high-performance systems, provide production support and troubleshooting, and drive platform features that serve multiple products and engineering teams.

Design, develop, and maintain core platform infrastructure for an Agentic AI product. Lead foundational components, collaborate with cross-functional and ML teams, support production systems, troubleshoot performance and scalability, and cultivate developer-friendly frameworks and practices to enable large-scale distributed, AI-oriented workloads.

Lead multiple concurrent organizational change initiatives across business and technology transformations. Develop and execute change strategies, stakeholder engagement, executive communications, training, and user adoption. Manage project plans, risks, dependencies, and deliverables for enterprise system implementations and process improvements in environmental or industrial services. Create executive-ready materials and e-learning content for measurable adoption outcomes in a full-time, 6-month remote consulting engagement.

Build and operate services and tooling to automate network lifecycle, ensure safe network changes, develop scalable observability and telemetry, integrate network source-of-truth via APIs, and collaborate with network engineers and SREs to deliver production-grade automation and reliability.

Own full enterprise sales cycle for AI-focused customers: prospect, qualify, run technical evaluations and POCs, negotiate contracts, and close deals. Build relationships with engineering, AI, product, and executive stakeholders; partner with sales engineering and product; manage pipeline/forecasting in CRM; and shape repeatable enterprise sales processes.

Own product positioning, messaging, and go-to-market for Tavily. Lead launches, create sales enablement (decks, one-pagers, case studies), run competitive research, partner with demand-gen, and gather customer insights to inform roadmap and messaging.

Lead sales planning and operations for distributor partners: own account-level budgets, forecasts, and S&OP inputs; manage inventory readiness and order flow; execute distributor programs and trade spend; build reporting, dashboards, and analytics; model promotion and P&L impacts; and align cross-functionally with Sales, Finance, Supply Chain, Marketing, and Customer Service to drive distributor growth and execution.

Lead and develop the Customer Success team, own gross dollar retention and account health, partner with Sales on renewals and expansion, translate customer feedback to Product and Data Science, modernize CS tooling and incorporate AI into the retention and expansion motion.

Senior individual-contributor product marketer owning positioning, market intelligence, sales enablement, launches, win/loss analysis, cross-functional GTM orchestration, and hands-on collateral, docs, and campaign work across US and EMEA.

Design, build, and maintain scalable ETL/ELT data pipelines and data platform architecture. Build programmatic pipelines (primarily Python), optimize analytical data models (SQL), integrate sources into Snowflake, use orchestration/transformation tools (dbt, Airflow, Dagster), improve data quality/observability, and partner with product, engineering, and analytics to deliver reliable data for decision-making.

The Cybersecurity Engineer protects clients by managing security monitoring solutions, vulnerability management, and compliance in cloud and on-premises environments.

Manage data management and analytics projects, utilizing agile practices. Coordinate with cross-functional teams to ensure successful delivery and mitigate risks.