Top Tech Jobs & Startup Jobs

Lead strategic operations for Growth & Planning by creating governance, operating rhythms, and portfolio management. Drive cross-functional alignment, surface risks and trade-offs, enable executive decision-making with clear ownership, and produce executive presentations, memos, and processes linking strategy to OKRs and planning cycles.

Design, build, and maintain scalable dimensional data models, semantic layer, and production transformation pipelines. Collaborate with Data Engineering, Data Science, BI, DevOps, and Product to enable AI-ready data, ensure data quality and governance, support ML feature delivery, and coach analytics team members for robust, production-ready data products.

Lead technical design and architecture for analytics engineering: build and govern the semantic/metrics layer, optimize dbt and Snowflake for performance and AI use cases, mentor engineers, partner with Data Science and Engineering, drive data quality, CI/CD, observability, and deployment of third-party data and emerging tooling to support analytics, ML, and agent-based products.

Lead and grow a team of analytics engineers while remaining hands-on with SQL, dbt, and Snowflake. Own roadmap and semantic layer development, build trusted, governed data products, partner with cross-functional stakeholders, champion data quality and observability, and hire and coach engineering talent to deliver scalable analytics and AI-ready foundations.

As a Software Development Engineer, you will develop, maintain, and support applications, analyze software specifications, and collaborate with various teams to implement solutions while ensuring quality and performance.

Analyze data, design and implement machine learning models, build data pipelines, collaborate with teams, and keep up with advancements in AI.

Lead global document control governance for construction programs: define standards, drive adoption, align PMIS (Procore/SharePoint/ACC) workflows, support project teams, monitor compliance, and deliver training and continuous improvements.

Design, build, and optimize Snowflake-based data platform: develop ELT pipelines, data models, governance, security, performance tuning, cost optimization, CI/CD, and advanced Snowflake features. Collaborate with stakeholders, mentor engineers, and deliver scalable data solutions for analytics.

The VP, Client Service will lead a portfolio of healthcare clients, driving digital transformation and business modernization, while ensuring client satisfaction and revenue growth.

Provide legal counsel on data privacy matters, conduct privacy assessments, draft policies and training, advise on marketing and product initiatives, review and negotiate data protection and vendor agreements, monitor privacy law developments, and support the privacy program and vendor management.

Lead architecture and roadmap for a multi-agent AI platform, design agent orchestration, context/memory management, and productionize LLM capabilities at enterprise scale. Provide technical leadership, establish test/evaluation frameworks for non-deterministic AI systems, mentor senior engineers, and align cross-functional strategy to deploy secure, highly available agent-driven features.

Lead global HR service delivery strategy, drive AI-first transformation and autonomous HR workflows, own HRSD roadmap, improve operations via process redesign and automation, build team capabilities and governance, and influence cross-functional stakeholders to scale ServiceNow HR service delivery.

Lead new business sales for ServiceNow SaaS licenses within manufacturing; build C‑suite relationships, orchestrate account strategy across cross‑functional teams, identify and engage specialists, and meet revenue targets while integrating AI into customer workflows. Will travel up to 50%.

As a Sr Associate in Fraud Analytics, you'll analyze data, develop fraud rules, implement models, and collaborate with stakeholders to mitigate fraud losses.

This role requires guiding customers in designing scalable systems using MongoDB, focusing on pre-sales efforts, technical alignment, and customer success. Candidates should have extensive experience in software and cloud architecture, along with strong communication skills.

The Director of ISV Partnerships will lead strategy and execution for MongoDB’s partner program, oversee a team, manage key relationships, and communicate with executive leadership to drive growth through ISV collaborations.

Lead AMER (West) sales strategy and planning, partner with senior sales leaders to run business reviews, design AI GTM strategy, pilot sales programs, analyze large datasets, and manage one direct report to improve productivity and adoption of new capabilities.

As a Commercial Account Executive, you'll drive net-new customer acquisition, manage sales cycles, and collaborate with technical leaders while achieving sales targets.

Serve as Datadog technical expert for channel partners: onboard, train, enable, and certify partner technical teams; support demos and proofs-of-value; align on joint business plans; advocate partner technical needs internally; analyze partner services and recommend adoption improvements; collaborate with product, engineering, and technical services to prioritize features and evolve platform best practices.

Lead and grow the Onboarding engineering team to deliver world-class first-time user experiences. Plan and staff projects, coach engineers, collaborate with product and design, build UX features, data platforms, and AI-assisted setup, and use analytics and experimentation to improve trial adoption and onboarding outcomes.

Design, build, and operate distributed platforms, backend services, APIs, and data systems to support quantitative research, large-scale simulations, AI applications, and analytics. Improve performance, reliability, and scalability while collaborating with researchers to productionize research workflows.

Design, build, and operate high-performance Kdb+/Q platforms for real-time and historical market data, partnering with traders and researchers to deliver scalable time-series analytics, streaming, and trading solutions while driving architecture, automation, and operational excellence.