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Director, Product Design
Launch production-ready web and mobile apps in weeks using AI-powered visual editing, integrated databases, and native mobile builders for founders and agencies.
Benefits:
Comprehensive health coverage
401(k) matching
Wellness and work enablement stipends
Generous PTO
A Sabbatical program
Experience Requirements:
10+ years of product design experience
5+ years experience leading design teams
Track record of recruiting world-class senior talent
Deep experience guiding teams through user research
Other Requirements:
Authorized to work in the US
Within the New York City metro area
Excited about AI and no-code development
Responsibilities:
Lead a team of talented product designers
Drive product design hiring
Establish product design best practices
Refine Bubble’s design system
Refine our product vision
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Founding Account Executive
Ensure AI reliability and security with real-time observability, automated evaluation tests, and governance guardrails designed for enterprise-scale agentic systems.
Experience Requirements:
1+ years
Other Requirements:
US citizen/visa only
Responsibilities:
Own the full sales cycle from conference hopping, prospecting, closing and expanding deals
Build relationships with government contractors in military hubs
Work with our CEO to develop our sales playbook and sales org culture
Navigate complex enterprise buying processes with engineering-led decision makers
Build and manage our sales systems, CRM, and growth infrastructure from the ground up
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Account Executive
Ensure AI reliability and security with real-time observability, automated evaluation tests, and governance guardrails designed for enterprise-scale agentic systems.
Benefits:
Direct mentorship and exposure to the Founder & CEO
Opportunity to help define our sales motion at a critical growth stage
Meaningful ownership and career growth
Collaborative, scrappy, and high-performing team culture
Education Requirements:
Bachelor’s degree
Experience Requirements:
1+ years
2+ years of closing experience in a customer-facing or revenue role
Experience selling to mid-market and/or enterprise customers
Other Requirements:
US citizen/visa only
Excellent organization skills and familiarity with CRM tools like Hubspot
Responsibilities:
Own the full sales cycle for SMB, mid-market, and enterprise customers
Travel to industry conferences and events each quarter
Partner directly with the CEO on deal strategy, positioning, and negotiations
Develop deep expertise in LANDED’s product, customer use cases, and ROI story
Run thoughtful discovery to understand prospects’ hiring workflows
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Outside Sales Representative (Houston, TX)
Ensure AI reliability and security with real-time observability, automated evaluation tests, and governance guardrails designed for enterprise-scale agentic systems.
Benefits:
Competitive salary
Health, dental, vision insurance
401K
Equity compensation grant
Experience Requirements:
1+ years
1+ years of field sales experience selling to distributors in a specific geo
Other Requirements:
US citizen/visa only
Experience with our current tech stack (Hubspot, Google Suite, slack)
Responsibilities:
Be on the road 5-days per week to develop relationships
Serve as the first in-person contact for prospective Curri customers
Work in close partnership with Sales, Marketing, and Operations
Execute a market-based motion where you will strategically work high-value accounts
Develop a strong knowledge of Curri’s suite of products
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Go To Market Lead
Ensure AI reliability and security with real-time observability, automated evaluation tests, and governance guardrails designed for enterprise-scale agentic systems.
Benefits:
High ownership early
Direct impact on company growth
Opportunity to shape how the company scales
Experience Requirements:
Any (new grads ok)
Other Requirements:
US citizen/visa only
Responsibilities:
Run early go to market experiments
Talk directly with users and partners
Build onboarding and sales processes
Identify repeatable growth channels
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Head of Sales
Ensure AI reliability and security with real-time observability, automated evaluation tests, and governance guardrails designed for enterprise-scale agentic systems.
Benefits:
Competitive salary and meaningful equity
Medical, dental, and vision health insurance
401(k) - non-matching
Commuter benefits
Catered lunches on in-office days
Experience Requirements:
6+ years
Personally built the sales motion at a VC-backed company
Knows what it takes to scale from 7-figure to 8-figure revenue
Other Requirements:
US citizen/visa only
Responsibilities:
Personally run discovery calls, proposals, and closes
Set the standard for excellence through playbooks and templates
Ensure operational discipline in HubSpot
Own outcomes end-to-end
Recruit and lead the team after proving the motion
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Manager, Forward Deployed Engineering
Ensure AI reliability and security with real-time observability, automated evaluation tests, and governance guardrails designed for enterprise-scale agentic systems.
Experience Requirements:
6+ years
8+ years in engineering, solutions engineering, or technical delivery
2+ years leading high-performing technical teams
Other Requirements:
Will sponsor
Python, SQL
Fluent across engineering and business contexts
Responsibilities:
Lead, coach, and grow a team of FDEs
Partner with Sales, Product, Engineering, and Customer Success to shape solutions
Incorporate customer-specific solutions into the product roadmap
Provide hands-on technical leadership across APIs and platform capabilities
Elevate how we run demos, proofs of concept, and onsite engagements
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Enterprise Account Executive
Ensure AI reliability and security with real-time observability, automated evaluation tests, and governance guardrails designed for enterprise-scale agentic systems.
Experience Requirements:
3+ years
Experience with consultative sales, ideally with enterprise tier customers
Experience closing six-figure ACVs
Other Requirements:
US citizen/visa only
Exceptional communicator and can build relationships with banking executives
Responsibilities:
Build enterprise pipeline
Close deals
Develop our go-to-market motion
Work closely with customers to understand their needs and pain points
Synthesize learnings into effective messaging
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Sales Development Representative (SMB - MM- ENT)
Ensure AI reliability and security with real-time observability, automated evaluation tests, and governance guardrails designed for enterprise-scale agentic systems.
Benefits:
Computer equipment applicable to your role
Stock grant opportunities
Ability to choose where you work (home, beach, or WeWork)
Experience Requirements:
Any (new grads ok)
Other Requirements:
US citizen/visa only
Entrepreneurial spirit/experience with a strong growth mindset
Responsibilities:
Drive Deel's growth through inbound and outbound prospecting
Educate and develop leads via phone calls, emails, and events
Identify and understand lead generation process
Generate emails sequences and cold-calls to penetrate accounts
Conduct follow-up calls and emails until meetings are set
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Head of Growth - AI For Finance Professionals
Ensure AI reliability and security with real-time observability, automated evaluation tests, and governance guardrails designed for enterprise-scale agentic systems.
Benefits:
Will sponsor any visa
Gym subsidized
Office nutrition and supplements provided
Experience Requirements:
3+ years
3-6 years of experience in banking / PE / consulting
Other Requirements:
Strong existing network in finance / consulting
High attention to detail / thoughtfulness
Responsibilities:
Own the entire customer sales cycle
Spearhead marketing
Conduct sales calls with CTOs
Drive product decisions
Perform QA and operations work
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AI / ML Solutions Engineer
Scale AI and ML workloads from local laptops to massive cloud clusters with ease. Optimize GPU utilization and slash infrastructure costs for ML engineers.
Benefits:
Competitive compensation
equity
flexible remote work
Experience Requirements:
5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or ML Systems Engineer
Strong proficiency in Python and experience building production ML systems
Hands-on experience with distributed systems or scalable ML frameworks
Experience with distributed training (multi-node / multi-GPU)
Experience with model serving and scalable inference
Other Requirements:
Comfort working directly with customers in a consultative, problem-solving role
Strong communication skills and ability to explain technical tradeoffs clearly
Experience with cloud environments (AWS, GCP, Azure)
Responsibilities:
Implement production AI / ML workloads using Ray and Anyscale
Work hands-on with customer codebases to refactor or adapt existing workloads
Advise customers on ML system architecture
Guide customers through architectural and operational changes
Partner with customer MLE and MLOps teams
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Member of Technical Staff, Customer Engineering - Machine Learning (Bengaluru)
Scale AI and ML workloads from local laptops to massive cloud clusters with ease. Optimize GPU utilization and slash infrastructure costs for ML engineers.
Experience Requirements:
2+ years of experience in a customer-facing technical role
Experience as a machine learning engineer
Experience in training, fine-tuning and inference/serving of LLMs
Knowledge in one or more of the major cloud platforms
Experience with Ray (Bonus)
Other Requirements:
Must be available to our EMEA customers within their respective time zones
Strong organizational skills
Excellent communication and interpersonal skills
Responsibilities:
Resolve customer issues and help in their successful adoption
Be a technical advisor and internal champion for key customers
Own customer issues end-to-end
Participate in our follow-the-sun customer support model
Contribute towards improvement of internal tools and documentation
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Member of Technical Staff, Field Eng
Scale AI and ML workloads from local laptops to massive cloud clusters with ease. Optimize GPU utilization and slash infrastructure costs for ML engineers.
Benefits:
Stock Options
Healthcare plans
401k Retirement Plan
Education & Wellbeing Stipend
Paid Parental Leave
Experience Requirements:
5+ years of pre- and post-sales experience
Strong technical skills in Python fundamentals
Experience in enterprise SaaS, infrastructure, open source, and/or ML/AI
Experience in public cloud and enterprise infrastructure
Other Requirements:
Customer success orientation
Cross-functional collaboration with technical stakeholders
Responsibilities:
Building awesome product demos, tutorials, and reference architectures
Educating customers on how to use Ray
Working with customers as they build applications on Ray
Knowing the ML landscape and toolsets
Working cross-functionally to be the voice of our customers
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Member of Technical Staff, Field Eng
Scale AI and ML workloads from local laptops to massive cloud clusters with ease. Optimize GPU utilization and slash infrastructure costs for ML engineers.
Benefits:
Stock Options
Healthcare plans
401k Retirement Plan
Education & Wellbeing Stipend
Paid Parental Leave
Experience Requirements:
5+ years of pre- and post-sales experience
Strong technical skills in Python fundamentals
Experience in enterprise SaaS, infrastructure, open source, and/or ML/AI
Experience in public cloud and enterprise infrastructure
Other Requirements:
Customer success orientation
Cross-functional collaboration with technical stakeholders
Responsibilities:
Building awesome product demos, tutorials, and reference architectures
Educating customers on how to use Ray
Working with customers as they build applications on Ray
Knowing the ML landscape and toolsets
Working cross-functionally to be the voice of our customers
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Member of Technical Staff, Field Eng (London)
Scale AI and ML workloads from local laptops to massive cloud clusters with ease. Optimize GPU utilization and slash infrastructure costs for ML engineers.
Experience Requirements:
5+ years of pre- and post-sales experience
Strong technical skills in Python fundamentals
Experience in enterprise SaaS, infrastructure, open source, and/or ML/AI
Experience in public cloud and enterprise infrastructure
Other Requirements:
Customer success orientation
Cross-functional collaboration
Responsibilities:
Building awesome product demos, tutorials, and reference architectures
Educating customers on how to use Ray
Working with customers as they build applications on Ray
Knowing the ML landscape and toolsets
Working cross-functionally to be the voice of our customers
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Engineering Manager, Observability (TLM)
Scale AI and ML workloads from local laptops to massive cloud clusters with ease. Optimize GPU utilization and slash infrastructure costs for ML engineers.
Benefits:
Stock Options
Healthcare plans
401k Retirement Plan
Education & Wellbeing Stipend
Paid Parental Leave
Experience Requirements:
Proficiency in backend or full stack development
Proficiency in Python
Understanding of AI and machine learning concepts
Experience with observability tools and monitoring solutions
Familiarity with Ray or similar distributed systems frameworks
Other Requirements:
Solid background in debugging, architecture design, and coding
Excellent problem-solving skills
Responsibilities:
Interacting with users and understanding requirements
Designing and implementing features
Maintaining and improving features over time
Managing projects like the Ray Dashboard observability tool
Communicating work through talks, tutorials, and blog posts
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Lead Security Engineer
Scale AI and ML workloads from local laptops to massive cloud clusters with ease. Optimize GPU utilization and slash infrastructure costs for ML engineers.
Experience Requirements:
Strong experience with product security
Deep hands-on experience with cloud infrastructure security
Software development background
Experience managing corporate security programs
Led or contributed to compliance certifications
Other Requirements:
Excellent communication skills
Responsibilities:
Partner with product and engineering teams to architect secure products
Own product and infrastructure security
Integrate security into the development lifecycle
Oversee corporate security fundamentals
Support compliance certification efforts
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Senior / Staff AI Engineer (Field & Community) - EMEA
Scale AI and ML workloads from local laptops to massive cloud clusters with ease. Optimize GPU utilization and slash infrastructure costs for ML engineers.
Experience Requirements:
4+ years of hands-on experience building ML/AI systems
Experience building end-to-end ML pipelines
Technical writing, teaching, or conference speaking experience
Ability to write production-quality Python code
Deep hands-on experience with at least one ML framework
Other Requirements:
Lives in a major AI hub in EMEA
Enjoys traveling and speaking publicly
Understanding of distributed systems concepts (Nice to Have)
Responsibilities:
Engage the Community through conferences and open-source
Create production-quality demos and sample applications
Become a trusted technical authority (Subject Matter Expert)
Develop technical content like blogs and tutorials
Shape the Product by bringing real-world feedback back
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Software Engineer - Model Serving Infrastructure
Scale AI and ML workloads from local laptops to massive cloud clusters with ease. Optimize GPU utilization and slash infrastructure costs for ML engineers.
Experience Requirements:
Strong Systems Fundamentals (OS, networking, concurrency)
Production Experience building systems at scale
Experience with distributed systems frameworks (gRPC, Ray)
Background in ML/AI systems or serving infrastructure
Contributions to major open source projects
Other Requirements:
Ownership Mindset
High Code Quality
Responsibilities:
Design and implement sub-millisecond Model Routing
Build Zero-Downtime Model Updates traffic management systems
Create reactive systems for Autoscaling at Scale
Architect frameworks for Multi-Model Orchestration
Build deep introspection tools for Observability & Debugging
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Software Engineer (Ray Core)
Scale AI and ML workloads from local laptops to massive cloud clusters with ease. Optimize GPU utilization and slash infrastructure costs for ML engineers.
Experience Requirements:
At least 2 year of relevant work experience
Solid background in algorithms, data structures, system design
Experience in building scalable and fault-tolerant distributed systems
Knowledge of distributed model training and inference (preferred)
Knowledge of GPU programming (preferred)
Responsibilities:
Develop high quality open source software (Ray)
Identify, implement, and evaluate architectural improvements
Improve the testing process for Ray
Communicate your work to a broader audience
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