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Top Tech Jobs & Startup Jobs in Rochester, NY
Hardware • Robotics • Sales • Software • Hospitality
Seeking an Independent Sales Representative with a passion for the restaurant/bar industry. Role involves selling disruptive POS technology to businesses, focusing on consultative sales. Candidates should have restaurant experience and a proactive, motivated mindset.
Top Skills:
Financial SoftwarePoint Of Sale SystemsTechnology
HR Tech • Information Technology • Professional Services • Consulting
Provide technical service and support for AI data center systems, including installation, maintenance, troubleshooting hardware and software, and collaborating with clients to ensure high-performance enterprise computing operations.
Big Data • Machine Learning • Professional Services • Analytics • Consulting • Big Data Analytics
Serve as primary client contact for a portfolio of loyalty-program clients. Scope and manage end-to-end actuarial analyses rooted in predictive modeling and machine learning, validate model outputs, translate results into clear recommendations and presentations, and partner with analysts and data scientists to deliver high-quality, client-facing work in a fully remote consulting environment.
Top Skills:
Ai ToolsBig Data TechnologyData Visualization SoftwareExcelMachine LearningPower BIPowerPointProject Management Tools
Artificial Intelligence • Information Technology • Machine Learning
Build and manage Krisp’s global partner marketing program across distributors, BPOs, CCaaS platforms, CX providers, and system integrators. Develop partner positioning, co-marketing campaigns, enablement materials, events, customer stories, and brand governance programs. Secure partner funding, coordinate CRM attribution and reporting, and generate measurable partner-sourced and partner-influenced pipeline. Collaborate across Partnerships, Sales, Product Marketing, Communications, and Revenue Operations while scaling programs globally.
Top Skills:
Abm PlatformsAi-Powered Marketing ToolsCRMHubspotPartner Marketing Tools
Fintech • Insurance
Lead AI Engineer defines AI strategy, architecture, and standards; makes build vs. buy decisions; architects scalable, reliable LLM/GenAI systems; establishes LLMOps, evaluation, guardrails, and observability; coordinates cross-functional alignment with product and engineering; and champions AI-assisted developer tooling and responsible AI practices.
Top Skills:
Agent/Orchestration FrameworksAi Observability/Governance ToolsAi-Assisted Coding ToolingEvaluation ToolingLangchainLlamaindexLlmopsLlms/GenaiModel-Provider SdksPythonRagSemantic SearchVector DatabasesVersioned Prompts/Configs
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Marketing Tech • Software • Business Intelligence
Advise as an outbound Playbook Architect: design multi-channel, intent-driven outbound sequences, write copy frameworks and AI prompt logic, and deliver ready-to-launch playbooks that maximize replies and booked meetings. Work asynchronously as an equity-bearing advisor while keeping a full-time job.
Top Skills:
AIG2Gtm OsLinkedIn
Fintech • Financial Services
The Senior Manager of Risk Analytics will lead credit risk strategies, manage portfolio performance, optimize decisioning frameworks, and drive business growth through analytics and predictive modeling.
Top Skills:
DatabricksExcelPythonSnowflakeSQL
Artificial Intelligence • Information Technology • Software
Build AI-first customer support product features end-to-end: design, implement, and ship production systems; work closely with coding agents; create tooling and feedback systems; collaborate across teams to define UI/UX and data models.
Top Skills:
Claude CodeNestjsPrisma OrmPythonReactRemixTypescript
Information Technology
Work cross-functionally to automate processes, build AI agents and internal tools, design executive dashboards, and own ad-hoc operational projects across Sales, Marketing, Finance, People, and Operations to help the company scale.
Top Skills:
AttioChatgptClaudeClaude CodeClayCodexFivetranHexHubspotN8NPower BIPythonSalesforceSigmaSnowflakeSQLTableauZapier
Software
Lead client engagements to drive engineering transformation by combining deep technical judgment, data-driven analysis, coaching of managers and executives, and actionable roadmaps for platform, DevOps, and AI-era engineering practices.
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