- Rio Grande, Texas, United States
Responsibilities
- Deliver product by car and then to door of customer
- Deliver flyers and door hangers
- Operate all equipment
- Stock ingredients from delivery area to storage, work area, walk-in cooler
- Prepare product
11–20 jobs· newest first
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AI Automation SpecialistNewBLP Digital AG · Munich, Germany+2 moreFull-time · Entry
Social Media ManagerNewFocused · Darmstadt, Germany
Startup Events & CommunityNewCursor · San Francisco, US$180K–$220KOn-site · Full-time · Mid
- Software Engineer, Enterprise PlatformNewCursor · San Francisco, US
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On-site
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+10K new in the last hour
- Hot Springs, Arkansas, United States
Job Description Take Great Care of Our Customers Additional Information All your information will be kept confidential according to EEO guidelines.
See full job description- Beltsville, Maryland, United States
- On-site
- Full-time · Mid
Assists in the daily oversight, coordination and execution of stated objectives in sales, costs, employee retention, customer service and satisfaction, food quality, cleanliness and sanitation.
Responsibilities
- Provides leadership support to the Manager on Duty (MOD)
- Maintains high standards of customer service during high-volume, fast-paced operations
- Communicates clearly and positively with management and team members
- Greets customers in person or via phone and takes order professionally and promptly
- Helps support shift management
Skills
- Munich, Bavaria, Germany +2 more
- Full-time · Entry
- 0–2 years
Hands‑on automation specialist configuring and tuning AI agents for enterprise customers, driving automation sprints and resolving process gaps.
Locations (3)
- Munich, Bavaria, Germany
- Cologne, North Rhine-Westphalia, Germany
- Zurich, Zurich, Switzerland
Responsibilities
- Configure and tune agents for customer documents
- Drive automation sprints post go‑live
- Resolve open questions on customer business logic
- Drill into root causes of automation stalls
- Prepare and run customer sessions
Requirements
- Bachelor's or Master's degree in Business, Economics, Information Systems, Engineering, or a related field
- Nice to have: AI‑driven SaaS
Skills
Benefits
- High ownership environment
- Impact at scale
- Cross‑functional exposure
- Fast‑paced environment
- Employee ownership with stock option program
- Darmstadt, Hesse, Germany
Build and grow Focused Energy’s social media presence, primarily on LinkedIn, creating content strategy, editorial calendars, and engaging audiences worldwide.
Compensation
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits.
Responsibilities
- Own the day‑to‑day strategy, planning and execution of LinkedIn presence
- Build a scalable content strategy and editorial calendar
- Partner with subject‑matter experts to transform technical content
- Drive employer branding and thought leadership
- Manage community interactions and respond to followers
Requirements
- Bachelor’s in Marketing, Communications, Public Relations, Digital Media or related field
- Nice to have: Experience with LinkedIn Campaign Manager or similar paid social platforms
- Nice to have: Creative mindset
- Nice to have: Video and visual content creation
Skills
Benefits
- Competitive salary
- Stock options
- 30 days vacation
- Snacks and drinks
- Canteen
- San Francisco, California, United States
- On-site
- Full-time · Mid
- $180K–$220K per year
- 4+ years
As a founding member of our Startup Events and Community team, you'll be the growth engine behind SpaceXSI for Startups, responsible for turning our startup strategy into high-impact programs that win the right early-stage companies, help founders get deeper value from SpaceXSI, and turn our strongest founder-users into advocates.
Compensation
Annual compensation range for this role is $180,000 - $220,000 USD
Responsibilities
- Design the startup events playbook: Build and execute a data-driven marketing plan for the startup segment, focused on landing and growing usage within top Seed-Series B companies across YC and the broader ecosystem
- Own the founder funnel and footprint: Deploy a mix of founder events, hackathons, executive/founder roundtables, and community activations to acquire the right startups and drive them toward meaningful success using SpaceXSI
- Build ecosystem relationships: Partner with VCs, accelerators, and other startup partners to reach their portfolio founders through growth programs, content, and co-hosted moments. Help identify which partners are worth going deep with
- Creativity: Fearlessly break the standard playbook by avoiding generic engagement formats - find out how founders actually build and gather and design around that
- Founder advocacy: Surface and amplify founder/customer stories worth telling, and feature them in our events. Become a trusted partner and peer to the founders using SpaceXSI
Requirements
- Nice to have: experience in or with startups
- Nice to have: B2B SaaS
- Nice to have: developer tools
- Nice to have: builder mindset
- Nice to have: community obsession
Skills
Benefits
- comprehensive medical
- vision
- dental coverage
- 401(k) retirement plan
- short & long-term disability insurance
- San Francisco, California, United States
- On-site
- Full-time
- $140K–$225K per year
Building foundational systems and infrastructure to make Cursor ready for the world's largest engineering organizations.
Compensation
The annual compensation range for this role is listed below. Annual Salary: $140,000 - $225,000 USD
Responsibilities
- Build and evolve organization management system, multi-level org structures, groups, roles, and provisioning via SCIM
- Design and implement RBAC with fine-grained roles, permissions, and resource scopes
- Extend enterprise settings and policies, org-wide defaults, security policies, and configuration inheritance
- Deepen audit logging infrastructure for compliance
- Build admin APIs and internal tooling for enterprise admins, customer success, and sales engineering
Requirements
- Experience designing and building scalable systems or shared platform infrastructure.
- Nice to have: Opinions on permission models
- Nice to have: role inheritance
- Nice to have: policy evaluation
- Nice to have: Multi-tenant organization systems
Skills
Benefits
- equity
- medical
- vision
- dental
- 401(k) retirement plan
- Weslaco, Texas, United States
- On-site
Looking for qualified drivers to staff stores, deliver products, and assist with store-store operations.
Responsibilities
- Deliver product by car and then to door of customer
- Deliver flyers and door hangers
- Operate all equipment
- Stock ingredients from delivery area to storage, work area, walk-in cooler
- Prepare product
Skills
- Palo Alto, California, United States +2 more
- On-site
- Full-time · Senior
- $180K–$330K per year
- 5+ years
Build infrastructure that turns real product usage into better models and keeps research moving fast on large GPU fleets.
Locations (3)
- Palo Alto, California, United States
- San Francisco, California, United States
- Manhattan, New York, United States
Compensation
The annual compensation range for this role is listed below. Annual Salary: $180,000 - $330,000 USD
Responsibilities
- Design, build, and operate core platform systems used daily by ML researchers and product engineers
- Partner closely with research to turn recurring pain into durable infrastructure
- Own reliability, performance, and developer experience for the systems in your lane
- Ship iteratively in a flat, high-ownership environment. Measure impact, then raise the bar
Requirements
- Bachelor's, Master's, or PhD in computer science, machine learning, or another quantitative discipline; OR equivalent work experience
- Nice to have: owning production distributed systems at meaningful scale
- Nice to have: building platforms for ML researchers and product engineers
- Nice to have: high ownership
- Nice to have: short feedback loop
Skills
distributed systemsinfrastructureingestiondata pipelinesscheduling or orchestrationGPU cluster schedulingjob queuesnode healthresearch compute developer experiencetelemetryevent ingestionproduct analytics pipelinesOpenTelemetrytracingreliable data APIsSparkFlinkRayML dataset infrastructureobservabilityexperiment monitoringdebug toolingagent-friendly observability UX
Benefits
- equity
- comprehensive medical coverage
- vision coverage
- dental coverage
- 401(k) retirement plan
- Palo Alto, California, United States
- On-site
- Full-time · Senior
- $220K–$357K per year
- 3+ years
SpaceXSI is looking for Research Scientists to drive effective RL or mid-training research in a small-team setting, owning ambiguous research problems end-to-end.
Compensation
The annual compensation range for this role is $220,000 - $357,000 USD
Responsibilities
- Design and run rigorous experiments that turn research ideas into measurable gains in model capability
- Improve data recipes through data quality, deduplication, and mixture experiments
- Define what makes RL data and rewards good, including grader design and preventing reward hacking
- Advance training science, from architecture and scaling experiments to post-training recipes for coding and computer-use agents
- Build evals and targeted tasks that expose model weaknesses and guide where the team invests next
Requirements
- MS or PhD in CS, ML, math, physics or a related field, or equivalent research experience
- Nice to have: RL algorithms for language models
- Nice to have: scaling laws
- Nice to have: distributed training at scale
- Nice to have: frontier-scale models
Skills
Benefits
- equity
- medical coverage
- vision
- dental coverage
- 401(k) retirement plan