Top Tech Jobs & Startup Jobs

Build and operate production machine learning systems across the full ML lifecycle, including data and feature pipelines, model training, evaluation, deployment, APIs, monitoring, and retraining. Develop reliable Python services, troubleshoot production performance and data quality issues, and collaborate with data, software, and product teams to bring AI solutions into production. Own defined technical components, communicate trade-offs, document solutions, and support continuous improvement.

Leads troubleshooting and incident response for a large global network, including routing, switching, multicast market data, wireless, security, and hybrid cloud environments. Implements network changes, automation, monitoring, documentation, and operational acceptance testing. Analyzes packet captures, supports multi-vendor infrastructure, evaluates network designs and processes, and collaborates with internal teams and customers to resolve complex issues.

Leads the design, development, testing, and deployment of Workday integrations, reports, business processes, and document solutions across HCM and Financials. The role integrates Workday with third-party systems and Google Cloud services, supports upgrades and incident resolution, applies security and governance standards, and mentors junior developers. Responsibilities include Workday Studio, EIBs, APIs, XSLT, BIRT, automated testing, application security, and least-privilege access management.

Manages employee relations programs, investigations, performance management, employee offboarding, and unemployment insurance claims. Advises employees, managers, HR colleagues, and senior leadership on employment matters, policy application, risk management, and performance improvement. Serves as the primary HR contact and site lead for the New York office while promoting an inclusive and accountable workplace culture.

Lead the technical presales process from discovery through technical win. Build tailored demos, sample applications, prototypes, workshops, and proofs of concept; evaluate Exa against alternatives on quality, latency, and cost; address architecture, security, and compliance objections; collaborate with account executives and forward-deployed engineers; and provide product feedback and reusable presales assets.

Supports the design, testing, launch, and scaling of marketplace programs. Builds tools and frameworks, develops analytical insights, and collaborates with product, marketing, data science, finance, and operations teams to remove obstacles and improve program outcomes. The role requires operational rigor, marketplace knowledge, strong analytics, cross-functional execution, organization, and comfort working in ambiguous early-stage environments.

Leads business analysis and data governance initiatives, including requirements elicitation, risk analysis, conceptual data modeling, business glossary and information catalogue development, stakeholder workshops, and data architecture support. Prepares business cases and governance documentation, manages changes to data artefacts, and supervises a Data Governance Officer. Requires strong analytical, communication, stakeholder management, and enterprise architecture capabilities.

Own the Dyson Beauty category strategy and product lifecycle, from portfolio planning and launches through optimization and end-of-life management. Develop positioning, claims, pricing, go-to-market, and category activation strategies using consumer and market insights. Monitor global performance, identify growth opportunities, and lead cross-functional alignment across engineering, finance, operations, creative, revenue, and market teams.

Leads Dyson Beauty category strategy and commercial performance across the product lifecycle. Responsibilities include portfolio planning, product launches, claims, positioning, pricing, go-to-market strategy, category activation, market analysis, and performance optimization. Partners cross-functionally with engineering, finance, operations, revenue, creative, and global market teams to develop consumer-led opportunities, align stakeholders, and drive sustainable growth.

Serve as JFrog’s embedded AI ecosystem strategist in San Francisco, scouting emerging tools and vendors, assessing trends, prototyping APIs and agentic frameworks, and translating ecosystem insights into product strategy and roadmap direction. Build relationships across AI and developer communities, evaluate LLM, RAG, and agentic architectures, brief internal stakeholders, and connect external technical signals with Product, Engineering, and go-to-market teams.

Develop customized DevOps and DevSecOps solutions for prospective customers in partnership with sales, product, engineering, and customer success teams. Lead discovery sessions, technical presentations, product demonstrations, proofs of value, and responses to RFPs and RFIs in English and Spanish. Translate business objectives into technical architectures, support presales-to-postsales transitions, represent JFrog at industry events, and provide customer feedback to influence the product roadmap.

Lead Superpower’s consumer events and experiential program from concept through delivery. Develop event concepts, guest journeys, budgets, timelines, vendor partnerships, run-of-show plans, and contingency plans. Coordinate cross-functional teams, manage on-site execution, extend events through content and community engagement, and measure outcomes to improve future experiences. The role requires strong creative judgment, production expertise, relationship-building, and comfort managing multiple moving parts in health and wellness events.

Conduct outbound cold calls, LinkedIn outreach, targeted email sequences, and CRM prospecting to generate and qualify leads. Run initial discovery calls, schedule demos and sales meetings, follow up with prospects, maintain accurate CRM records, and meet call-volume and meeting-booking targets. Use AI tools to prepare for conversations, handle objections, and improve follow-up while communicating confidently with US-based prospects.

Generate outbound pipeline across the United States by contacting prospects and channel partners, booking meetings with decision-makers, validating needs, qualifying opportunities, and handing them to account teams. Maintain accurate same-day CRM records, register partner opportunities, support partner onboarding, and use AI tools such as Claude for prospect research, outreach preparation, follow-up, and workflow automation.

Conduct outbound cold calls, LinkedIn outreach, and email campaigns to US enterprise prospects. Qualify inbound and outbound leads, conduct early discovery, schedule product demos, manage follow-ups, maintain accurate CRM records, and meet outreach, lead-generation, and meeting-booking targets. The role also uses AI-assisted tools for call preparation and follow-up.

Serve as a legal domain expert within Customer Success, helping enterprise legal teams adopt and scale Checkbox. Design legal workflows, defaults, guardrails, exception paths, templates, and reusable solutions. Translate customer requirements into product and engineering insights, improve adoption and time-to-value, and ensure AI features are interpretable and trusted. Partner with customers, Customer Success, Product, and Engineering teams to address workflow gaps and operational complexity across legal functions and jurisdictions.