Top Tech Jobs & Startup Jobs

5 Days AgoSaved
In-Office
2 Locations
Senior level
Senior level
Artificial Intelligence • Software • Database
Owns high-priority, ambiguous strategic initiatives from scoping through execution and handoff. Partners with executive leadership and cross-functional teams across Engineering, Product, GTM, Sales, and Operations. Builds 0-to-1 workflows, dashboards, reporting, automation, and analytics; drives measurable outcomes without formal authority; prepares executive updates; and manages multiple shifting projects in parallel.
Top Skills: HubspotPythonSalesforceSQL
5 Days AgoSaved
In-Office
San Francisco, CA, USA
250K-325K Annually
Senior level
250K-325K Annually
Senior level
Artificial Intelligence • Software • Database
Leads and develops a team of Growth Account Executives selling complex B2B SaaS solutions to mid-market and enterprise customers. Builds the growth sales motion, playbook, qualification methodology, forecasting processes, territory models, and pipeline rigor. Partners with RevOps, Marketing, Product, and Customer Success on go-to-market strategy, demand generation, product feedback, pricing, and customer handoffs. Hires and scales the sales team while managing high-value, multi-stakeholder deals.
Top Skills: Ai/MlAPIsB2B SaasCRM
5 Days AgoSaved
In-Office
San Francisco, CA, USA
Mid level
Mid level
Artificial Intelligence • Software • Database
Own Reducto’s platform engineering function, including serving infrastructure, job orchestration, model inference, deployments, autoscaling, observability, reliability, and cost optimization. Lead platform roadmap and technical decisions, build the engineering team, support customer cloud and on-premise deployments, and partner with ML and Product teams on model and agent infrastructure. This is a hands-on leadership role involving design, coding, code reviews, and incident response.
Top Skills: Agent SandboxesAutoscalingContainerized DeploymentsData PlatformsInfrastructure As CodeJob OrchestrationMl Model ServingObservabilityOn-Premise DeploymentsThrottling
12 Days AgoSaved
In-Office
San Francisco, CA, USA
250K-350K Annually
Mid level
250K-350K Annually
Mid level
Artificial Intelligence • Software • Database
Lead the product engineering team building AI-powered document workflow products. Set technical and product direction, shape customer-focused features, recruit engineers, prototype and ship production-quality software, and define AI development practices. Collaborate with founders, product, platform, and ML engineering teams to deploy models and capabilities. This hands-on, in-person role initially requires substantial coding and ownership of product quality, reliability, speed, and usability.
Top Skills: Agentic WorkflowsAILlmsOcrVision Models
15 Days AgoSaved
In-Office
San Francisco, CA, USA
160K-200K Annually
Senior level
160K-200K Annually
Senior level
Artificial Intelligence • Software • Database
Own the company’s deal desk function, supporting deal structure, pricing approvals, contracting, customer redlines, billing setup, provisioning, invoicing, renewals, expansions, and amendments. Maintain and improve quote-to-cash automation across CRM, contracting, billing, and payment systems. Partner with Sales, Customer Success, Legal, Finance, and Operations to resolve exceptions, improve workflows, and ensure accurate account and contract setup.
Top Skills: MetronomeSalesforceStripe
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18 Days AgoSaved
In-Office
New York, NY, USA
180K-250K Annually
Mid level
180K-250K Annually
Mid level
Artificial Intelligence • Software • Database
Solutions Engineer responsible for supporting enterprise sales and implementations through product demos, proof-of-concepts, technical architecture guidance, integrations, scripts, dashboards, and customer-facing tooling. The role partners with GTM, customers, support, founders, and engineering to identify product improvements and shape engineering strategy. Requires hands-on Python development, Bash and infrastructure knowledge, Kubernetes expertise, and an in-person NYC work arrangement.
Top Skills: APIsBashKubernetesPythonStreamlit
25 Days AgoSaved
In-Office
San Francisco, CA, USA
200K-250K Annually
Mid level
200K-250K Annually
Mid level
Artificial Intelligence • Software • Database
Build and lead Reducto’s Sales Development team of 8–10 SDRs in San Francisco. Responsibilities include managing, coaching, recruiting, onboarding, and developing representatives; creating outbound prospecting strategies; conducting pipeline and forecasting reviews; improving messaging and conversion; and partnering with Marketing, RevOps, and Account Executives to generate qualified Growth and Enterprise pipeline.
Top Skills: Ai/MlB2B SaasDocument Ai
One Month AgoSaved
In-Office
New York, NY, USA
90K-140K Annually
Junior
90K-140K Annually
Junior
Artificial Intelligence • Software • Database
Generate qualified pipeline through creative outbound campaigns, optimize lead-generation channels, run content and marketing experiments, maintain CRM processes, support deals through close, and create content for technical decision-makers. The role targets technical buyers and offers a path to Account Executive. It is an in-person position in New York City at a fast-growing AI startup.
Top Skills: Ai/MlCRM
Reposted One Month AgoSaved
In-Office
San Francisco, CA, USA
Mid level
Mid level
Artificial Intelligence • Software • Database
As an ML Infra Engineer, you'll build and maintain training and inference frameworks, scale distributed workloads, and improve system observability. You'll apply state-of-the-art methods while collaborating with ML and Platform teams.
Top Skills: Distributed Training FrameworksKubernetesMulti-Gpu EnvironmentsPython
One Month AgoSaved
In-Office
San Francisco, CA, USA
150K-200K Annually
Senior level
150K-200K Annually
Senior level
Artificial Intelligence • Software • Database
Own and execute growth marketing programs across paid acquisition, ABM, lifecycle campaigns, conversion optimization, and re-engagement. Manage agencies, budgets, audiences, offers, campaign copy, and performance targets. Partner with Sales, Product Marketing, Content, Growth Engineering, and Marketing Operations to build campaigns, landing pages, lifecycle experiences, and experiments. Analyze funnel and channel performance to optimize acquisition efficiency, activation, pipeline, and revenue.
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