Top Tech Jobs & Startup Jobs

Build next-generation voice AI systems for consumer and business applications. Develop persistent memory, complex reasoning, speech pipelines, and production-grade agentic workflows. As an early technical contributor, the ML Engineer will help shape core architecture, take ambiguous concepts through production, and influence user interactions with advanced language models in a fast-paced pre-seed startup.

Supports SAP and SolEx sales teams by positioning BlackLine’s finance automation platform, conducting needs analyses, delivering tailored demonstrations, completing ROI analyses, responding to RFPs and RFIs, addressing technical and accounting questions, and supporting partner and client engagements. Builds trusted relationships, helps advance opportunities and license revenue, documents sales activities in Salesforce, and facilitates handoff to implementation teams.

Chief of Staff to the CEO responsible for driving six-week planning cycles, operating reviews, cross-functional triage, strategic diligence, board materials, investor updates, and company performance reporting. The role identifies and owns unassigned high-impact problems, accelerates decision-making, improves communication and information flows, and develops AI-enabled workflows. This is an in-person role based in New York City.

Leads multiple engineering teams, owning software delivery, SDLC quality, people management, strategic alignment, resource planning, incident governance, and team development. Partners with Product and business stakeholders on prioritization, estimation, communication, execution, and performance metrics. The role requires experience with large-scale, low-latency distributed systems, agile delivery, DevOps, CI/CD, automated testing, infrastructure as code, distributed teams, and scalable data technologies.

Own the strategy, roadmap, scientific integrity, and commercial trajectory of Attain’s permissioned data products. Lead data product managers and execution teams responsible for feeds, pipelines, QA, and vendors. Partner with data science to productize marketing science, causal measurement, predictive models, and population projections into licensed feeds and scores. Drive revenue, adoption, methodology quality, privacy compliance, internal customer satisfaction, and executive communication.

Partner with Engineering and Product leaders on talent strategy, organizational design, workforce planning, performance management, employee relations, career architecture, leveling, and compensation implementation. Analyze workforce metrics, coach leaders, conduct investigations, ensure regulatory compliance, and use AI tools to improve HR processes and decision-making. Collaborate across People, Talent Acquisition, and Learning & Development teams in a fast-growing technology company.

Lead Benchling implementations for biotech and biopharma customers from kickoff through go-live. Manage project plans, requirements workshops, solution design, data modeling, configuration, testing, user acceptance testing, training, and onboarding. Serve as a trusted scientific and product advisor, advocate for customer needs, develop training materials, and identify post-launch expansion opportunities.

The Strategic Account Executive drives revenue growth in mid-market accounts, serves as a trusted advisor, manages strategic sales cycles, collaborates cross-functionally, and shares market insights to enhance product development.

Build and scale AcuityMD’s Value Consulting function by developing ROI and TCO methodologies, business-case templates, benchmarks, tools, and enablement programs. Support strategic deals, renewals, and executive business reviews with data-backed value cases. Drive GTM and Revenue Operations strategy, lead cross-functional initiatives, and train sales and customer success teams to conduct credible value conversations with enterprise buyers.

Design and lead the technical strategy for search across Vannevar’s products. Build and improve full-text, vector, and LLM-powered retrieval systems, optimizing latency, relevance, index quality, freshness, and performance. Collaborate with ML, product, design, and mission strategy teams to translate user needs into search innovations. Apply expertise in information retrieval, NLP, machine learning, indexing, ranking, query parsing, tokenization, vector search, and evaluation frameworks.