Top Tech Jobs & Startup Jobs

Reposted 21 Days AgoSaved
In-Office
London, Greater London, England, GBR
107K-145K Annually
Junior
107K-145K Annually
Junior
Artificial Intelligence • Machine Learning • Security • Software
Execute Apollo Research’s day-to-day finance operations, including procure-to-pay and order-to-cash cycles, invoice and payment processing, overdue balance follow-up, transaction recording in Xero, and weekly multi-entity, multi-currency bank reconciliations. The role requires strong bookkeeping knowledge, finance-platform proficiency, meticulous accuracy, integrity, initiative, and at least two years of transactional processing experience. It offers opportunities to develop toward controllership or FP&A.
Top Skills: Ai ToolsMercuryPayhawkRevolutXero
One Month AgoSaved
In-Office
Washington, DC, USA
200K-300K Annually
Mid level
200K-300K Annually
Mid level
Artificial Intelligence • Machine Learning • Security • Software
Founding DC office staff will communicate AI safety research, build relationships with policymakers, develop policy strategies, monitor legislation, draft policy submissions and memos, and brief senior leaders. Roles span science communications, stakeholder engagement, and policy/legal research. Candidates should understand U.S. government and intelligence-community decision-making, support high-stakes engagements, and help advance safe and secure AI governance. The position is full-time in Washington, DC, with at least 25% travel, including travel to London.
Top Skills: AI
One Month AgoSaved
In-Office
2 Locations
144K-280K Annually
Senior level
144K-280K Annually
Senior level
Artificial Intelligence • Machine Learning • Security • Software
Design, implement, and operate Apollo’s security controls across identity, cloud infrastructure, endpoints, and incident response. Build secure-by-default systems, evaluate security vendors, lead security projects, shape the roadmap, and promote effective security practices across the organization. Key initiatives include zero-trust migration, agentic SOC development, sandbox hardening, third-party access reviews, incident response, and penetration-testing tooling.
Top Skills: Ai AgentsApplication SecurityCloud SecurityDetection EngineeringEndpoint ManagementGrc EngineeringIdentity And Access ManagementIncident ResponseJAMFKandjiProduct SecuritySandboxingZero Trust Architecture
One Month AgoSaved
In-Office
2 Locations
144K-280K Annually
Senior level
144K-280K Annually
Senior level
Artificial Intelligence • Machine Learning • Security • Software
Secure Apollo’s internal software, infrastructure, and AI-agent environments through threat modeling, red teaming, attack-trajectory development, adversary tracking, and detection engineering. Own security findings through remediation by designing durable controls, automated tests, CI/CD integrations, and monitoring. Collaborate closely with engineers and research teams to address novel AI-agent and insider-risk threats while documenting threat models and failure modes clearly.
Top Skills: Adversarial TestingAi AgentsAi/Ml SystemsCi/CdCloud SecurityDetection EngineeringLlm SecurityRed TeamingSocThreat Modeling
One Month AgoSaved
In-Office
2 Locations
190K-396K Annually
Mid level
190K-396K Annually
Mid level
Artificial Intelligence • Machine Learning • Security • Software
Lead and grow a product engineering team building Watcher, a coding-agent security product. Responsibilities include planning delivery, managing engineers, hiring, coordinating research and engineering handoffs, handling customer integrations, making architecture decisions, reviewing code, and shipping production code primarily in Python and TypeScript. This player-coach role also establishes engineering processes, protects team focus, and uses AI-assisted tools extensively.
Top Skills: Claude CodeCodexCursorPythonTypescript
One Month AgoSaved
In-Office
2 Locations
149K-290K Annually
Mid level
149K-290K Annually
Mid level
Artificial Intelligence • Machine Learning • Security • Software
Own customer deployments, integrations, technical evaluations, proofs of concept, and white-glove support for Watcher, a coding-agent security product. Build integrations with coding agents, SIEMs, identity systems, and CI/CD pipelines across cloud, on-premises, and self-hosted environments. Troubleshoot customer issues, tune security monitors, communicate with technical and security leaders, and convert recurring customer needs into reusable product capabilities, documentation, and deployment tooling.
Top Skills: Ci/CdClaude CodeCloud InfrastructureCodexCursorDlpIdentity And Access ManagementNetworkingOn-Premises DeploymentPythonSelf-Hosted BackendsSIEMSsoTypescript
One Month AgoSaved
In-Office
2 Locations
149K-290K Annually
Mid level
149K-290K Annually
Mid level
Artificial Intelligence • Machine Learning • Security • Software
Build and operate Watcher, a full-stack coding-agent security product. Develop backend APIs, ingestion and grading pipelines, agent hooks, CLI tooling, monitoring dashboards, enterprise integrations, and real-time blocking systems. Own features from customer discovery through production deployment, while ensuring reliability, scalability, tenant isolation, encryption, access controls, and flexible cloud, on-premises, and local deployments. Collaborate with customers and security teams to improve the product and productionize monitoring research.
Top Skills: Access ControlsAlertingAPIsClaude CodeCloud InfrastructureCodexCursorDatabasesEncryptionInspectLlmLoggingMessage QueuesMetricsMonitoringObservabilityPythonSIEMStreaming PipelinesTracingTypescript
Reposted 2 Months AgoSaved
In-Office
2 Locations
100K-270K Annually
Mid level
100K-270K Annually
Mid level
Artificial Intelligence • Machine Learning • Security • Software
Conduct empirical research into AI "scheming": design and run RL experiments on LLMs, build model organisms, develop scalable evaluation techniques, study scaling laws and AI cognition, and collaborate with partner labs to influence deployment and mitigation strategies.
Top Skills: GpusLarge Language Models (Llms)Lm Evaluation Tools (Inspect)PythonReinforcement Learning
Reposted 2 Months AgoSaved
In-Office
2 Locations
100K-270K Annually
Mid level
100K-270K Annually
Mid level
Artificial Intelligence • Machine Learning • Security • Software
Design, run, and automate pre-deployment evaluations of frontier AI models. Analyze large model transcripts to surface behaviors, build scalable evals, collaborate with AI labs, and improve evaluation pipelines and tooling.
Top Skills: InspectLarge Language Models (Llms)Python
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