Top Tech Jobs & Startup Jobs

Own eComm revenue for B2C and B2B SMB audiences: build and run multi-channel paid and email campaigns, manage review platforms, segment SMB audiences, run A/B tests, use AI to scale, and build attribution dashboards to drive measurable purchase outcomes.

Lead product strategy for ServiceNows AI Application Development platform. Define multi-year vision and roadmap, drive developer adoption and GTM, translate AI/LLM trends into platform capabilities, grow a senior product organization, and align cross-functionally with engineering, design, and GTM to prioritize and deliver scalable enterprise-grade developer experiences.

Lead and deliver Moveworks implementations on time and on budget by managing governance, scope, timeline, risks, resources, and stakeholder alignment. Guide customers to identify, build, and launch agentic AI workflows, provide change management best practices, mentor teams and partners, and ensure smooth handoffs to post-launch Customer Success. Advocate customer needs to Product and collaborate with Sales and partners.

Identify and qualify inbound and outbound leads for Account Executives in the cybersecurity space. Conduct prospect research, outbound outreach (calls, email, social), manage activity in Salesforce, schedule discovery calls, collaborate with marketing/channel teams, and meet monthly/quarterly qualified opportunity targets while providing market feedback.

Manage a caseload of routine to moderately complex rideshare commercial auto bodily injury claims: investigate coverage and liability, assess damages, set reserves, negotiate settlements, and coordinate with claimants, insureds, attorneys, and third parties.

Handle inbound and warm sales leads, consult customers on Property & Casualty insurance needs, match products to prospects, close sales, complete paid training and obtain P&C license, and maintain required remote workspace and schedule.

Underwrite and manage a public entity and education insurance portfolio: assess and price new and renewal business, negotiate terms, maintain agent/broker relationships, analyze portfolio performance, document underwriting decisions, mentor junior underwriters, and lead process improvements to drive profitable growth.

Lead product vision and roadmap for AI infrastructure and agentic systems. Work with engineering, data science, and sales to define requirements, prioritize features, enable execution, validate deliverables, maintain technical documentation, support go-to-market launches, and track customer feedback and market trends to drive platform strategy and measurable outcomes.

As a Data Scientist, you'll develop and validate machine learning models, implement AI solutions, and conduct fieldwork in support of customers.

As a Machine Learning Engineer, you will develop machine learning models, automate data engineering pipelines, and support customer-centric projects while collaborating with data scientists and engineers.

Design, build, and operate low-latency, high-throughput ad delivery systems (bidding, ranking, auctions, pacing). Integrate ML signals into backend services, build streaming and batch data pipelines, ensure observability and reliability, collaborate with product/ML teams, and mentor engineers.

The Senior Manager will oversee strategic payment partnerships, managing vendor relations, optimizing partner performance, and conducting contract negotiations, while aligning strategies with business goals.

Lead strategy and implementation of Expedia Group's AI evaluation framework. Build metrics, tooling, and governance to measure accuracy, safety, transparency, and performance across AI experiences. Partner with engineering, data science, and product teams to design instrumentation, publish scorecards and recommendations, and drive alignment on evaluation standards and responsible deployment.

Lead research, development, and deployment of recommendation and personalization ML models. Design algorithms, build end-to-end pipelines, optimize for accuracy/latency/scale, integrate solutions into production, implement monitoring/bias detection/retraining, and collaborate on experimentation and product integration to improve user engagement and retention.

Lead development of production AI-assisted engineering systems: build services, APIs, integrations, and tooling; direct and review AI coding agents and AI-generated code; establish repeatable practices, observability, testing, and secure delivery for enterprise platforms.

Support development and sustainment of mission-focused applications, backend services, APIs, and data pipelines. Collaborate with data scientists and stakeholders to build, troubleshoot, and improve performance, contribute to code reviews and documentation, and deliver reliable capabilities in an agile, remote-first environment.

Develop, enhance, and sustain mission-focused software applications, backend services, APIs, and data pipelines. Support data scientists and stakeholders, troubleshoot defects, improve performance, contribute to design and code reviews, and deliver reliable capabilities in an agile remote-first environment.

Lead and develop an Expansion Account Management team to drive expansion revenue, retention, and quota attainment. Coach reps, optimize processes and playbooks, manage pipeline and forecasting, leverage CRM and analytics to identify upsell/cross-sell opportunities, and implement tools and workflows to improve sales productivity and customer engagement.

Lead development of firmwide reusable frameworks, SDKs, and tools (authentication, resiliency, observability, compliance). Design agent-native components for LLMs, produce secure high-quality production code, drive AI-assisted engineering practices, improve automation and operational stability, and evaluate external/internal vendor and architecture fit.

Lead platform engineering to build reusable frameworks, SDKs, tools, and services that scale enterprise-wide. Manage multiple technical areas and teams, set strategic direction, drive adoption of agent-native, secure-by-default components, influence senior stakeholders, and deliver reliable, cloud-native developer platforms at scale while hiring and developing engineering talent.

Lead and manage futures and derivatives clearing operations, ensuring accurate trade capture, allocation, and reconciliation across exchanges and clearinghouses. Maintain regulatory compliance (CFTC, NFA, exchanges), drive clearing projects and process improvements, collaborate with front office, technology, compliance and legal, resolve client escalations, and supervise daily team activities including workload distribution, performance feedback, and cross-training.

Lead and scale revenue enablement for a fast-growing SaaS GTM organization. Design onboarding and continuous training, develop sales content and playbooks, optimize CRM/LMS and GTM tools, implement data-driven coaching and KPIs, and collaborate cross-functionally to improve ramp, quota attainment, and win rates while managing a sales enablement team.