Top Artificial Intelligence Jobs

Design and rapidly iterate high-performing paid social creative for Meta, Instagram, and other channels. Create statics, carousels, short-form video clips, and multiple variations based on performance insights. Monitor Meta Ads Manager, analyze competitors and trends, and use data to guide creative decisions. Partner with founders and marketing teams on messaging and testing, own execution from concept through launch, and build reusable templates and winning ad formats.

Own budgeting, forecasting, financial modeling, monthly reporting, SaaS metrics, scenario analysis, and board reporting. Build and maintain AI-driven finance workflows using Claude, automate recurring analysis, validate outputs, and document data lineage. Partner with accounting, Data and Analytics, Sales, Marketing, Product, and G&A to explain results, manage budgets, evaluate investments, and deliver reliable reporting. Support month-end close and maintain trusted BI data sources.

Own customer outcomes from discovery through production deployment. Build decision systems using ontologies, reasoning, graph analytics, optimization, and machine learning over enterprise data. Write Python, SQL, and PyRel; debug unfamiliar systems; tune performance; harden deployments; document reusable solutions; and upstream platform improvements. Lead technical workshops and proofs of concept while partnering closely with customers, Product, and Engineering.

As a Sales Development Representative, you'll focus on cold calling small businesses, booking demos for Senior Account Executives, and ensuring prospects attend their meetings, while using our CRM for updates.

Develop end-to-end Python software for U.S. Government space and national security programs. Automate NEI and Space Domain Awareness data pipelines, build APIs and prototypes, productionize orbital mechanics and image-processing capabilities, deploy cloud applications, and enhance platform features and visualizations. Collaborate with international engineering teams, customers, and external partners to translate aerospace capabilities into mission-ready software solutions.

Provide organization-wide technical leadership for Carlsmed’s personalized spine surgery software platform. Define platform architecture, technical vision, standards, governance, and technology strategy. Guide Node.js microservices, GraphQL federation, React applications, PostgreSQL solutions, APIs, distributed systems, and proof-of-concept initiatives. Mitigate technical risks, lead major architectural decisions, collaborate with senior leadership, and mentor senior engineers and technical leads.

Own and execute the integrations product roadmap, define strategy and priorities, manage vendor partner relationships, and coordinate with product, engineering, UX, business analysts, and external partners. The role requires deep mortgage loan origination experience, software product management expertise, technical understanding, agile and lean startup experience, and the ability to lead cross-functional initiatives in ambiguous environments.

Serve as the company’s first full-time marketer, owning growth channels including SEO/AEO, paid search and social, lifecycle email, website conversion, product launches, sponsorships, and events. Work directly with the CEO and Chief of Staff to turn creative concepts into campaigns, execute hands-on, analyze channel performance, and build compounding demand-generation systems for a rapidly growing B2B SaaS company.

Build and operate security-critical backend systems in Python, including encryption, key management, sensitive-data controls, credential protection, tenant isolation, authentication, signing, and token handling. Own projects end to end from investigation and architecture through implementation, migration, staged rollout, observability, and recovery. The role requires applied cryptography, strong trust-boundary judgment, and experience safely evolving systems handling sensitive or regulated data across cloud, VPC, and on-premises deployments.

Lead client-facing AI adoption and transformation engagements for mid-market companies. Design and facilitate practical sessions for executives and teams, demonstrate AI use cases, adapt to participant needs, manage client relationships between sessions, support adoption, advise on AI strategy and policy, evaluate evolving tools, and report field insights. Success is measured through behavior change, sustained AI usage, and business results.