Top Tech Jobs & Startup Jobs in NYC, NY

Leads consulting engagements for utility clients focused on customer experience, meter-to-cash, and customer operations. Responsibilities include CX strategy, operational assessments, journey mapping, customer research, client workshops, project oversight, sales support, practice development, marketing content, staff coaching, and executive client relationship management. Requires deep utility industry knowledge, customer transformation expertise, CIS vendor experience, and approximately 50% travel to client sites.

Own Cerby’s AI agents for API catalog generation, browser workflow creation, and self-healing automation. Take existing systems into production using durable workflows, observability, evaluation benchmarks, cost controls, and security protections. Responsibilities include detecting and repairing automation drift, managing credential isolation and prompt-injection risks, defining threat models, partnering with engineering teams, writing design documentation, mentoring contributors, and providing on-call ownership after launch.

Own the authorization optimization product roadmap, improving legitimate transaction approval rates and recovered merchant revenue. Define technical requirements, APIs, data models, integrations, and issuer-specific decisioning strategies. Partner with engineering, data science, sales, solutions, and customer success to deliver fraud-aware authorization improvements involving retries, 3DS, decline recovery, and payment routing. Manage partnerships with payment ecosystem providers, quantify opportunities using issuer and BIN intelligence, and communicate product strategy and performance to stakeholders.

Leads the design and execution of complex mechanical, HVAC, plumbing, and specialty systems for institutional and healthcare facilities. Oversees design quality, construction documents, specifications, construction administration, project timelines, and coordination with multidisciplinary teams. Drives LEED certification, energy modeling, lifecycle cost analysis, and sustainable design compliance with federal regulations and applicable codes. Requires a mechanical engineering degree, professional engineering license, extensive MEP design experience, LEED certification, and proficiency with Revit, HAP, TRACE 3D Plus, and Bluebeam.

Temporary consultant responsible for testing and validating Zuora CPQ quoting, pricing, approval, and deal configuration workflows. The role troubleshoots issues, supports user acceptance testing, documents findings, recommends process improvements, and partners with Sales and Deal Desk stakeholders to align commercial workflows with business requirements.

Reviews and validates client tax documents, identifies missing or inconsistent information, and contacts clients to complete files. Maintains accurate CRM records, manages a caseload, explains requirements and timelines, and advances complete cases to licensed tax preparers for filing. Requires tax preparation or documentation review experience, tax knowledge, strong communication, attention to detail, and active CTEC registration or a PTIN/CAF number. This role does not prepare or file returns.

Leads strategic operations, cross-functional transformation, business intelligence, commercial strategy, customer lifecycle optimization, pricing, profitability, and acquisition integration. Develops strategic plans, improves processes and documentation, manages whitespace and cross-sell opportunities, supports revenue growth, and mentors the Strategy & Operations team.

Conduct keyword research, on-page optimization, technical SEO checks, link-building support, competitor analysis, and content briefing. Track rankings, traffic, and conversions while preparing performance reports and monitoring search engine updates. The intern will receive mentoring and gain practical experience with SEO and analytics tools.

Own the strategy and outcomes for Mural’s AI Workflows products from concept through launch. Build prototypes, identify valuable collaboration workflows, define product-quality evaluations, guide model and routing decisions, and determine whether to iterate, scale, or stop based on user evidence. Partner with engineering, ML, design, finance, growth, and other teams on reliability, unit economics, data loops, and agentic multiplayer experiences.

Build and optimize scalable pre-training pipelines for foundation models. Implement distributed training across GPUs, TPUs, and high-performance clusters; translate research experiments into production workflows; develop monitoring and fault-tolerance systems; and benchmark and tune performance across hardware and software stacks.