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Reposted 14 Days AgoSaved
In-Office
New York City, NY, USA
150K-300K Annually
Mid level
150K-300K Annually
Mid level
Artificial Intelligence • Software
The Enterprise AI Lead will manage relationships with clients, develop commercial strategies, drive initiatives across teams, and present to executives, requiring strong communication and problem-solving skills.
Top Skills: AISaaS
15 Days AgoSaved
In-Office
San Francisco, CA, USA
165K-225K Annually
Senior level
165K-225K Annually
Senior level
Artificial Intelligence • Software
Own product-line P&Ls, lead forecasting, budgeting, and financial modeling. Partner with GMs and product leaders to guide capital allocation, pricing, and strategic decisions. Improve reporting, dashboards, and processes to scale finance operations.
Reposted 15 Days AgoSaved
In-Office
San Francisco, CA, USA
120K-200K Annually
Mid level
120K-200K Annually
Mid level
Artificial Intelligence • Software
The Program Manager oversees quality programs, develops automated solutions, manages a team of quality specialists, and ensures high-quality human data deliverables.
Top Skills: DatabasesLlmsScripting
Reposted 15 Days AgoSaved
In-Office
San Francisco, CA, USA
140K-210K Annually
Junior
140K-210K Annually
Junior
Artificial Intelligence • Software
Own and scale annotation workflows and integrations for enterprise AI data projects. Scope technical solutions during pre-sales, lead customer implementations, configure annotation tooling, and translate recurring customer needs into product requirements and integration roadmaps.
Top Skills: Coding AgentsSQL
16 Days AgoSaved
In-Office
New York City, NY, USA
120K-200K Annually
Junior
120K-200K Annually
Junior
Artificial Intelligence • Software
Own end-to-end data delivery and operations for RL training environments: scope projects, manage distributed contributor teams, meet throughput and quality targets, partner with engineers to unblock pipelines, drive process improvements, and deliver high-pressure client requests on tight timelines.
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16 Days AgoSaved
In-Office
New York City, NY, USA
100K-150K Annually
Mid level
100K-150K Annually
Mid level
Artificial Intelligence • Software
Run end-to-end interview operations for Deeptune: scheduling, candidate experience, Ashby data integrity, on-site and event logistics, reporting, and automations to reduce repetitive work.
Top Skills: APIsAshbyAshby ApiAtsBi ToolsClaudeClayCursorLlmsSQLZapier
16 Days AgoSaved
In-Office
New York City, NY, USA
120K-180K Annually
Mid level
120K-180K Annually
Mid level
Artificial Intelligence • Software
Own full-cycle recruiting for Deeptune and adjacent teams: source through close, partner with hiring managers to define roles, build top-of-funnel, coach interviewers, operationalize hiring systems and metrics (Ashby), drive fast, high-quality hiring, and represent Mercor externally.
Top Skills: Ashby
16 Days AgoSaved
In-Office
San Francisco, CA, USA
140K-210K Annually
Mid level
140K-210K Annually
Mid level
Artificial Intelligence • Software
Own the expert feedback loop, convert support signal into product requirements, maintain data and tooling for expert experience, enable experiments, and run Talent Success operations supporting distributed account-aligned specialists.
Top Skills: Ai AgentsSQL
Reposted 16 Days AgoSaved
In-Office
2 Locations
250K-400K Annually
Senior level
250K-400K Annually
Senior level
Artificial Intelligence • Software
As an Engineering Manager, you will lead teams to build and scale products and infrastructure that impact Mercor's core marketplace, managing systems from growth to trust and fulfillment while fostering a high-performing team culture.
Top Skills: Ai SystemsFinancial SystemsMarketplace PlatformsPayments SystemsReal-Time Data SystemsScalable SystemsTechnical Design
Reposted 16 Days AgoSaved
In-Office
San Francisco, CA, USA
Senior level
Senior level
Artificial Intelligence • Software
Lead IT operations for identity, endpoint, and infrastructure systems: triage Tier 2/3 incidents, manage Apple devices at scale, perform root-cause analysis, build runbooks and automations, map dependencies for SSO/MDM changes, mentor hires, and participate in on-call rotation while collaborating with Security, Engineering, and People Ops.
Top Skills: AWSAzureBashDnsGCPGoogle WorkspaceIntuneJAMFKandjiMdmOktaOkta WorkflowsPythonRipplingSaml/OidcScimVlanVpnZapier
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