Top Tech Jobs & Startup Jobs

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.

Design and execute software usability tests, run test scenarios, and prepare reports on test effectiveness. Role requires a Bachelor’s in Computer Science/Engineering (or equivalent) and 7+ years building, architecting, and troubleshooting large-scale infrastructure with a focus on reliability and scalability.

Audit interns perform audit, review, and compliance testing; prepare financial statements, footnotes, management reports, and engagement outputs; communicate with clients and engagement leaders; analyze data; identify process improvements; and develop accounting and GAAP expertise while supporting client engagements.

Audit interns perform audit, review, and compliance testing; prepare financial statements, footnotes, management reports, and engagement outputs; communicate with clients and engagement leaders; gather information, analyze data, identify process improvements, and support client engagements while developing accounting and GAAP expertise.

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.

Owns Attain’s data science methodology, including causal inference, attribution, incrementality, media mix modeling, audience targeting, and modeled-data validation. Defines defensible measurement standards, partners with Product, Engineering, ML, and commercial teams, presents methodology to clients and partners, manages external consultants, and leads a team of data scientists. The role requires deep AdTech/MarTech experience, strong statistical and ML expertise, executive communication skills, and experience with large-scale consumer data.

Owns architecture and technical direction for enterprise AI platforms, AWS Quick integrations, and an internal AI Artifact Hub. Leads development of connectors, agents, knowledge retrieval, MCP servers, data pipelines, quality systems, observability, and resilient distributed workflows. Guides Python engineering, architecture reviews, incident response, and cross-functional alignment with security, cloud, enterprise architecture, and AWS teams. Establishes standards for AI evaluation, governance, reliability, and verification-first development.

Build and operate secure AI platform infrastructure on AWS, including connector governance, authentication, integrations, ingestion pipelines, agents, access controls, DLP, observability, cost controls, evaluation frameworks, and feedback APIs. Mentor engineers, guide architecture, collaborate with domain teams and AWS, and support production systems through on-call participation.

Owns a retail automotive market data product end to end, including acquisition, cleansing, quality, coverage, publication, adoption, and evolution. Leads roadmap execution across two engineering teams, maintains the product backlog, defines requirements and metrics, and partners with engineering, architecture, data science, analytics, stakeholders, and external vendors. Guides consumers on data interpretation and translates technical decisions into business impact.

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.

The Senior AI Software Engineer will design and build secure systems for high value senders, focusing on trust and reliability in financial transactions. Responsibilities include technical design, system architecture, team mentoring, and using AI tools to enhance software delivery.

Own the post-submit money transfer experience from submission through recipient delivery and the next transfer. Lead product vision, strategy, roadmap, customer communications, exception handling, recovery, retention, experimentation, and research across mobile, web, and messaging. Coordinate engineers, designers, analysts, payout operations, risk, compliance, support, and marketing while improving customer trust, reducing support contacts, and increasing repeat usage.

Lead design and delivery of full-stack receiver-facing financial products. Define architecture, APIs, and data models; integrate with money-movement, identity, compliance, and pricing platforms; embed security and regulatory controls; mentor engineers and drive reliability, observability, and SLOs. Operate AI-native development workflows.

Designs and operates batch, streaming, and real-time data platforms and pipelines using Spark, Kafka, Iceberg, Airflow, and cloud infrastructure. Owns data lake evolution, data quality, observability, reliability, governance, event instrumentation, schema management, and privacy controls for PII, retention, deletion, and residency. Leads complex initiatives end-to-end, troubleshoots production issues, mentors engineers, and develops AI agent harnesses that enforce data engineering standards and quality gates.

Lead configuration management for the Vault Modernization Program by developing plans and standards, documenting system configuration items, assessing change impacts, maintaining configuration databases and traceability documentation, and supporting NSA and nuclear certification. Coordinate stakeholders across VUMS, VMCS, and MDNS while addressing cybersecurity, nuclear surety, obsolescence, and diminishing manufacturing sources and material shortages.

Lead and mentor FPGA design engineers through requirements generation, micro-architecture, RTL coding, synthesis, simulation, testbench development, lab testing, debugging, and product support. The role owns technical oversight and FPGA development using VHDL or Verilog, timing-driven design, clock-domain crossing, high-speed interfaces, revision control, and Linux scripting. Full-time onsite work is required because the position requires a Secret-or-higher government clearance.

Leads architecture, requirements, interface management, analysis, procurement, integration, testing, and operational support for space vehicle telecommunications subsystems. Manages technical risks, cost, schedule, milestones, and customer reporting while supporting launch, early operations, on-orbit testing, and post-delivery activities. Requires RF, microwave, optical, or space communications hardware experience and collaboration across engineering teams.

Build and operate automation for Cloudflare’s Data Center Security Compliance team, including browser-based portal extraction, ACL reconciliation, Jira ticketing, attestation workflows, audit evidence packages, and LLM-assisted anomaly detection. Own the DCSC Portal tooling roadmap, improve workflow reliability, document runbooks, and collaborate with compliance and GRC stakeholders to ensure automation meets regulatory evidence requirements.

Lead engineering teams building Cloudflare’s billing and payments infrastructure. Oversee the rebuilding of a scalable, reliable billing platform, guide architecture and execution of complex technical initiatives, and ensure financial accuracy. Hire, mentor, and develop engineers while collaborating with product, finance, data science, operations, and support teams. Drive technical direction, planning, process improvement, cross-functional alignment, and predictable delivery across high-priority projects involving distributed systems and financial infrastructure.

Lead Cloudflare’s quote-to-cash product transformation, managing product managers and coordinating Engineering, Finance, Revenue Operations, Program Management, BI, and external vendors. Oversee billing, invoicing, pricing, quoting, credit, collections, contracts, taxation, ERP implementation, and reporting initiatives across multiple timescales. Maintain roadmap accountability, quality, stakeholder communication, customer engagement, and successful delivery of financial-domain products and projects.