Top Artificial Intelligence Jobs

Supports the SVP of Engineering and VP of Project Finance by managing calendars, leadership meetings, travel, expenses, hiring logistics, confidential information, and follow-through. Owns day-to-day office administration, including facilities, vendors, supplies, access badges, visitors, onboarding, events, safety procedures, space planning, and workplace policies. Coordinates with Engineering, Finance, People/HR, IT, Legal, and Project Management.

Own and evolve the AI Accountant’s full-stack systems, with emphasis on backend architecture, reliable third-party data ingestion, idempotent processing, background jobs, account synchronization, and production operations. Integrate LLMs and ML into classification and reconciliation workflows with strong validation and failure handling. Design PostgreSQL schemas and ensure transactional correctness while shipping frequently and owning systems end to end.

Manages front desk and office operations while supporting HR administration, onboarding and offboarding, employee records, payroll coordination, HR systems, benefits providers, and confidential documentation. Coordinates vendors, schedules, meetings, deliveries, and administrative projects; resolves employee and provider issues; tracks follow-ups; and recommends workflow improvements. Requires strong organization, communication, discretion, and the ability to work independently across multiple priorities.

Lead technology due diligence assessments for M&A transactions, provide strategic client advisory, manage technology risks, and mentor junior team members.

Sell generative AI SaaS to Federal and government contractors, create outbound pipeline, conduct tailored product demos, manage consultative sales cycles, negotiate complex deals, and close opportunities. The role requires disciplined territory management, forecasting, CRM accuracy, executive prospecting, and multi-threaded engagement with buying committees. The Account Executive will also help build the US sales motion, represent the company at GovCon events, and collaborate with BDR, Solutions, Customer Success, Product, Marketing, and leadership teams.

Own customer-facing product areas from concept through production. Build and ship full-stack features, iterate on UI, UX, and application logic, translate ambiguous goals into engineering plans, and measure outcomes. Collaborate with deployment teams and customers, troubleshoot production issues, and independently make product and technical tradeoffs. The role requires strong TypeScript, SvelteKit or comparable frontend, Postgres, backend development, and experience building software for government or defense users.

Lead hands-on delivery of production AI and agentic systems for US pharma and life sciences customers. Translate customer workflows into technical designs, build integrations with enterprise data and APIs, manage evaluation, testing, failure handling, deployment, and customer acceptance. Guide engineers, review code, coordinate with UK colleagues and Value Engineering, and develop reusable delivery practices. The role is customer-facing and requires regular onsite work rather than laboratory R&D or internal product development.

Owns end-to-end B2B lifecycle marketing campaigns across email, in-product messaging, SMS, and web channels. Develops segmented and personalized programs supporting acquisition, engagement, upsell, retention, and expansion. Leads campaign planning, execution, experimentation, reporting, and optimization while partnering with Product Marketing, Sales, Onboarding, Creative, and Marketing Technology. Uses analytics to define success metrics, improve performance, and strengthen automation capabilities.

Lead cross-functional Data Foundations programs spanning telemetry, platform health metrics, analytics infrastructure, data governance, and reliability. Own technical requirements, roadmaps, stakeholder alignment, delivery operations, and organizational adoption without direct authority. Partner with engineering on pipelines, event streaming, service levels, and anomaly detection while contributing to product discovery and customer use-case analysis. The role requires SQL proficiency, modern cloud data stack knowledge, and strong technical program management experience.

Drives parallel legal, privacy, and compliance approvals for platform and data-integration launches. Coordinates Legal, Privacy, Engineering, data, contract, and vendor-management stakeholders; gathers evidence, manages remediation, tracks launch blockers, publishes leadership updates, escalates risks, and improves approval workflows. Requires strong cross-functional coordination, documentation, prioritization, and communication skills within large matrixed organizations.