Top Tech Jobs & Startup Jobs

3 Days AgoSaved
In-Office
London, Greater London, England, GBR
Senior level
Senior level
Artificial Intelligence • Big Data • Machine Learning
Grow Scale’s UK AI business across public sector and enterprise markets. Responsibilities include researching accounts, building pipelines, developing partnerships, shaping AI opportunities, managing framework applications and public-sector tenders, and creating proposals and executive materials. The role combines business development, commercial strategy, customer engagement, and bid management in a fast-paced market-entry environment.
Top Skills: Ai ToolingArtificial IntelligenceCrm SystemsData
3 Days AgoSaved
In-Office
2 Locations
270K-338K Annually
Expert/Leader
270K-338K Annually
Expert/Leader
Artificial Intelligence • Big Data • Machine Learning
Own and build Scale’s partner marketing function, driving pipeline through AWS, Google Cloud, Microsoft, and other strategic partners. Develop co-sell motions, account mapping, marketplace programs, joint campaigns, partner funding strategies, and executive reporting. Manage partner marketing budgets against pipeline outcomes, improve lead handoffs and opportunity conversion, and collaborate with Partnerships, Sales, Product Marketing, and Operations to package and promote joint offerings.
Top Skills: AWSGCPMicrosoft
3 Days AgoSaved
In-Office
2 Locations
190K-238K Annually
Senior level
190K-238K Annually
Senior level
Artificial Intelligence • Big Data • Machine Learning
Leads product marketing for Scale’s enterprise applications business, with a focus on financial services and launching new verticals. Develops positioning, messaging, sales plays, enablement, marketing assets, integrated campaigns, ABM programs, event strategies, and go-to-market playbooks. Partners with sales, product, engineering, growth marketing, field marketing, and communications teams. Measures pipeline and program impact while influencing executive and cross-functional stakeholders.
Top Skills: Account-Based Marketing (Abm)Ai/Ml
Reposted 4 Days AgoSaved
In-Office
2 Locations
161K-241K Annually
Senior level
161K-241K Annually
Senior level
Artificial Intelligence • Big Data • Machine Learning
As an Engagement Management Lead, you'll manage strategic customer relationships, oversee project delivery, and ensure quality outcomes while navigating complex customer dynamics.
Top Skills: AIData ManagementMachine Learning
4 Days AgoSaved
In-Office
Mexico City, Cuauhtémoc, Mexico City, MEX
525K-700K Annually
Mid level
525K-700K Annually
Mid level
Artificial Intelligence • Big Data • Machine Learning
Manage global procurement operations across software, cloud, services, hardware, facilities, and other categories. Review requisitions, issue purchase orders, support sourcing and negotiations, onboard and monitor suppliers, maintain vendor data, enforce procurement controls, and prepare audit-ready documentation. Analyze spend, track KPIs and budgets, optimize Coupa and Zip workflows, and improve purchasing processes while supporting stakeholders across regions and time zones.
Top Skills: CoupaZip
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8 Days AgoSaved
Remote
United States
300-300 Hourly
Entry level
300-300 Hourly
Entry level
Artificial Intelligence • Big Data • Machine Learning
Paid, part-time Creative Advisor collaborating with AI research and machine learning teams. The role involves sharing creative expertise, defining quality standards, developing work, reviewing model outputs, identifying limitations, and helping fellow creators engage with the program. Applicants should be leading creators with strong portfolios and interest in shaping AI’s impact on creative practice; no AI experience is required.
Top Skills: Artificial IntelligenceMachine Learning
Reposted 9 Days AgoSaved
In-Office
2 Locations
180K-225K Annually
Mid level
180K-225K Annually
Mid level
Artificial Intelligence • Big Data • Machine Learning
Design, build, and maintain foundational platform systems and cloud infrastructure supporting Scale's AI data and RLHF products. Collaborate with cross-functional teams to define features, improve engineering practices, and drive platform reliability, deployment, and CI/CD workflows.
Top Skills: AWSAws Step FunctionsCircleCIDockerKubernetesMongoDBPostgresTemporalTerraform
Reposted 9 Days AgoSaved
In-Office
London, Greater London, England, GBR
274K-342K Annually
Expert/Leader
274K-342K Annually
Expert/Leader
Artificial Intelligence • Big Data • Machine Learning
Own the strategy and roadmap for Scale’s enterprise core AI platform, including developer experience, deployment, runtime, security, observability, and customer capabilities. Lead cross-functional alignment with engineering, forward-deployed teams, customers, and business leaders. Define requirements, prioritize investments, measure adoption and outcomes, and productize reusable customer solutions. Build, manage, and coach a high-performing product management team while remaining hands-on with critical product decisions.
Top Skills: Agent RuntimesAi EvaluationAi PlatformsAPIsData IsolationDatasetsDeploymentIdentity And AuthorizationObservabilityWorkflow Orchestration
11 Days AgoSaved
In-Office
London, Greater London, England, GBR
Senior level
Senior level
Artificial Intelligence • Big Data • Machine Learning
Build and evolve cloud-agnostic deployment and observability infrastructure across AWS, Azure, GCP, OCI, and on-premises environments. The role involves developing secure, reproducible deployment pipelines, expanding platform observability, debugging customer and internal deployment issues, responding to incidents, conducting root cause analysis, shaping product roadmaps, and leading architecture reviews and end-to-end infrastructure projects.
Top Skills: AWSAzureCircleCICloud InfrastructureDockerFirewallsGCPGithub ActionsGitopsKubernetesLoad BalancersOciOn-Premises InfrastructureTerraformVpns
Reposted 11 Days AgoSaved
In-Office
London, Greater London, England, GBR
Senior level
Senior level
Artificial Intelligence • Big Data • Machine Learning
Build and evolve cloud-agnostic deployment and observability infrastructure across AWS, Azure, GCP, OCI, and on-premises environments. The role involves developing secure, reproducible deployment pipelines, improving platform observability, debugging production issues, responding to incidents, conducting root cause analysis, shaping the roadmap, leading architecture reviews, and owning infrastructure projects end to end.
Top Skills: AWSAzureCircleCIDockerFirewallsGCPGithub ActionsGitopsKubernetesLoad BalancersOciTerraformVpns
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