AI Jobs

Benefits:

• Competitive compensation, including company equity

• Full health benefits

• A 401k Vehicle

• Opportunity to change how people interact with Earth data

• Fun, collaborative work environment

Experience Requirements:

• Experience with startups and early stage software products

• Experience as a prior government intelligence analysis

• Strong technical skills with data integrations

• Cloud software deployments

• Full stack software development experience

Other Requirements:

• Top Secret security clearance (Nice to have)

• Collaborative with a go-getter mindset

• High integrity

• Strong communicator

Responsibilities:

• Support and Grow User Base

• Assist Customer Integrations and Pilots

• Rapidly Deploy New Capabilities Needed for Demos and Pilots

• Support Customer Meetings and Pitches

Education Requirements:

• Bachelor's degree in computer science, Engineering, or related field

Experience Requirements:

• 2–4 years of full-stack experience

• 1–2 years with React and Meteor

• Hands-on with JavaScript/TypeScript, Node.js, and basic Python or Bash scripting

• Experience modeling data in MongoDB

• Basic familiarity with LLM concepts, RAG memory patterns, or vector lookups

Other Requirements:

• Comfortable using Git (branching, PRs) and working within a CI workflow

• Solid debugging skills in browser and IDE environments

Responsibilities:

• Contribute to the design and coding of features in React and Meteor

• Implement publications, methods, and routing in Meteor

• Design and maintain MongoDB schemas and indexes

• Integrate basic LLM calls and embedding pipelines

• Develop RESTful endpoints and simple plugins in Node.js/TypeScript and Python

Education Requirements:

• Bachelor's degree in computer science, Engineering, or related field

Experience Requirements:

• 5+ years full-stack web development experience

• 3+ years on React and Meteor

• Strong proficiency with MongoDB data modeling, indexing, and aggregation pipelines

• Solid coding skills in JavaScript/TypeScript, Node.js, Python, and Bash

• Hands-on experience with LLMs, RAG architectures, and vector or graph databases

Other Requirements:

• Expertise in browser and IDE debugging workflows

• Comfortable setting up and maintaining Git workflows and CI

• Proven track record of delivering production-grade features autonomously

Responsibilities:

• Lead end-to-end design and implementation of complex features

• Architect Meteor client/server architecture and best practices

• Model and optimize MongoDB and integrate vector/graph databases

• Integration with LLM APIs, embedding pipelines, and RAG memory layers

• Develop RESTful endpoints and plugins in Node.js, Python, GO, and Meteor

Education Requirements:

• Bachelor's degree in computer science, Engineering, or related field

Experience Requirements:

• 5+ years in DevOps or Cloud Engineering roles

• 3+ years hands-on with AWS core services (EC2, S3, RDS, VPC, IAM)

• 1+ year Terraform experience in production

• Strong Docker and Kubernetes (EKS/GKE/AKS) expertise

• Solid scripting skills (Python, Bash, Powershell, etc.)

Other Requirements:

• Deep understanding of cloud networking, security, and compliance

• Ability to work cross platform OS

Responsibilities:

• Design and maintain scalable, secure AWS architectures

• Develop and review Terraform modules and CI workflows

• Build and manage automated build, test, and deployment pipelines

• Manage Kubernetes clusters for production and development workloads

• Implement observability solutions (CloudWatch, Prometheus, Grafana, ELK)

Benefits:

• Comprehensive health and dental benefits package

• Flexible work arrangements

• Professional development budget

• Continuous learning opportunities

• Mentorship from industry experts

Education Requirements:

• Bachelor's degree or equivalent experience

Experience Requirements:

• 3+ years in management consulting

• Experience in account management and client-facing interactions

• Experience in Telecom or customer service transformation (Bonus)

Other Requirements:

• Fluency in both French and English (verbal and written)

• Legal authorization to work in Canada

• Leverage AI tools daily

• Strong analytical skills

Responsibilities:

• Provide daily strategy, coaching and guidance to clients

• Lead strategy calls with C-suite executives

• Use AI to analyze data, build processes and deliver insights

• Participate in weekly training and planning meetings

• Study generative AI tools and resources

Experience Requirements:

• 1+ years in ML/AI product development or software engineering

• Hands-on with embeddings, vector databases, and RAG

• Strong background in deep learning/transformers/foundation models

• Experience with relational data & SQL

• Proficiency in Python and familiarity with data wrangling

Other Requirements:

• Comfortable in an innovation pod or startup environment

• A tinkerer at heart who’s built full‑stack apps

• Collaborative and easy to work with

• Founding Engineer experience (Bonus)

Responsibilities:

• Design, implement, and deploy AI agents for relational/SQL data

• Build user-centric APIs and product surfaces

• Integrate Kumo’s Relational Foundation Model with enterprise data systems

• Develop adaptive, multi-step workflows

• Ensure interpretability and evaluation

Education Requirements:

• Bachelor’s or Master’s in a STEM field

Experience Requirements:

• Strong fundamentals in data science, statistics, or machine learning coursework

• Real-world experience via internships, research, industry work, or substantial project work

• Demonstrated intellectual curiosity and initiative in ML/AI projects

Other Requirements:

• Strong communication skills

• Motivated, self-driven, excited to learn fast

• Comfortable in a high-velocity startup environment

Responsibilities:

• Support and own technical success for enterprise customers

• Design and build prototypes, workflows, and models across use cases

• Work hands-on with large-scale relational datasets

• Guide customers through modeling choices, data structures, and rollout plans

• Translate ambiguous customer needs into concrete ML solutions

Education Requirements:

• Bachelor’s or Master’s in a STEM field

Experience Requirements:

• Strong fundamentals in data science, statistics, or machine learning coursework

• Real-world experience via internships, research, industry work, or project work

Other Requirements:

• Strong communication skills

• Motivated and self-driven

• Excited to become an expert practitioner of cutting-edge AI models

Responsibilities:

• Support technical success for enterprise customers adopting the Kumo platform

• Design prototypes for recommendations, forecasting, and fraud detection

• Work with large-scale relational datasets and customer pipelines

• Collaborate with Kumo engineering and research teams

• Deliver demos and workshops to data scientists and business leaders

Education Requirements:

• Bachelor’s, Master’s or PhD in a STEM field

Experience Requirements:

• Strong fundamentals in machine learning, statistics, and data science

• Proven ability to improve ML systems end-to-end

• Proficient developing safe and correct code

• Expertise in Fraud, Risk, or Forecasting (Preferred)

Other Requirements:

• Highly technical with a research mindset

• Strong engineering instincts

• Willingness to travel for strategic customer workshops

Responsibilities:

• Own a domain like fraud/AML, credit risk, or forecasting

• Design and execute rigorous model validation

• Partner with engineering and research to ship platform improvements

• Deliver demos and technical diligence during deal cycles

• Translate customer needs into modeling workflows

Other Requirements:

• Driven and innovative

• Talented individuals whose background doesn't fit existing roles

Experience Requirements:

• 3+ years of experience in Office Management, People Ops, or HR Ops

• Proven ownership of HR operational workflows

• Startup experience (Strongly preferred)

Other Requirements:

• Strong organizational and project management skills

• Excellent judgment and discretion

• Ability to be onsite Mon/Wed/Fri in Mountain View

Responsibilities:

• Own day-to-day workplace experience at Mountain View HQ

• Manage end-to-end onboarding and off-boarding processes

• Maintain HR systems and records (HRIS, org charts)

• Partner with Finance for accurate payroll cycles

• Coordinate technical and GTM interview scheduling

Benefits:

• Competitive Base salary + performance based bonus + stock award eligibility

• Health insurance, dental, vision

• PTO and Flexible working hours and remote work options

• Opportunities for professional growth and development

• Company offsites and team events

Experience Requirements:

• Repeatedly sold into operations, supply chain, logistics, or industrial verticals

Other Requirements:

• High agency and comfortable moving fast in a high-growth environment

• Deep alignment with our mission and ethos

• Singularly focused on delivering client solutions

• Pre-wired with a "no task is too small" and "no aspiration is too big" mindset

Responsibilities:

• Open doors

• Close deals

• Build the systems that make both happen

Benefits:

• Base salary + bonus compensation + stock award eligibility

• Health insurance, dental, vision, PTO days

• Flexible working hours and remote work options

• Opportunities for professional growth and development

• A collaborative and innovative work environment

Education Requirements:

• Bachelor’s degree is a plus

• An associate degree and/or an equivalent level of education plus experience is also acceptable

Experience Requirements:

• 5+ years’ experience in field project execution

Other Requirements:

• Familiarity with CAD software (Fusion 360 preferred)

• Proficiency in Google Workplace, Monday.com, Microsoft Office

• Excellent problem-solving, organizational, analytical, and decision-making skills

• Strong communication and interpersonal skills

• Valid driver’s license and good driving record

Responsibilities:

• Oversee and execute all onsite aspects of assigned field projects

• Collaborate/communicate with customers, field service managers, field service engineers, and other stakeholders

• Monitor project progress and adjust as necessary

• Conduct on-site investigations and analyze data

• Prepare and review project documentation

Benefits:

• Base salary + incentive compensation + stock award eligibility

• Health insurance, dental, vision, PTO days

• Flexible working hours and remote work options

• Opportunities for professional growth and development

• A collaborative and innovative work environment

Experience Requirements:

• 5-7+ Years experience cultivating your own book of business in B2B hardware and SaaS products

• 3+ years of sales experience directly with logistics and/or physical operations

Other Requirements:

• Exceptional communication skills and even stronger follow through

• Deep and developed network of trusted industry contacts and experts

• Proven track record of building trust and effectively partnering with a wide variety of stakeholders

• Diplomacy, poise and unfailing judgment

Responsibilities:

• Win new business. Grow annual recurring revenue (ARR)

• Align and educate stakeholders

• Lead the sales cycle

• Own the client journey

• Champion customer success

Benefits:

• Equity in a unicorn-stage company

• 100% medical, dental, and vision premiums

• 401(k) matching plan up to 4%

• Unlimited Time Off policy

• Catered lunches

Experience Requirements:

• 6+ years of experience in Finance

• Specific emphasis on Sales Finance, Strategic Finance, or FP&A

• High-growth startup experience

• Sales Exposure and understanding of enterprise contracts

• Experience standing up or managing CRMs

Other Requirements:

• Operational intuition for sales operations

• Ability to architect sources of truth

• Relentless automation mindset

• Ability to thrive in ambiguity

Responsibilities:

• Build the GTM Finance Engine

• Partner with the sales team on quotas and commissions

• Aid in capital allocation and headcount planning

• Design workflows connecting revenue engine to general ledger

• Automate invoicing and collections

Benefits:

• Equity in a unicorn-stage company

• 100% medical, dental, and vision premiums

• 401(k) matching up to 4%

• Unlimited PTO

• Company-wide Refill Days

Experience Requirements:

• Strong proficiency in React and Next.js with TypeScript

• Experience with TailwindCSS and component libraries like ShadCN

• Comfort working with APIs and making light backend modifications

• Track record of shipping in fast-paced environments

Other Requirements:

• Ability to thrive in ambiguity

• Proactive decision-making skills

• Product ownership mindset

• Balance of speed and quality

Responsibilities:

• Build frontend systems for AI model customization platform

• Create intuitive interfaces for complex ML workflows

• Collaborate with ML researchers and backend engineers

• Polish demos and prototypes for enterprise customers

• Contribute to mobile app development

Benefits:

• Equity in a unicorn-stage company

• 100% medical, dental, and vision premiums

• 401(k) matching up to 4%

• Unlimited PTO

• Company-wide Refill Days

Experience Requirements:

• 4+ years designing complex tools or platforms

• Portfolio demonstrating systems thinking and interaction design

• Experience translating technical complexity into usable products

• Experience iterating based on prototyping and feedback

Other Requirements:

• Ability to own problems and analyze user feedback

• Fast-paced prototype building

• Systemic thinking regarding permissions and states

• Collaboration skills with engineering teams

Responsibilities:

• Design intuitive flows for LEAP Workbench

• Translate complex ML workflows into simple experiences

• Improve UI/UX of Apollo mobile application

• Analyze usage data to prioritize design improvements

• Maintain and evolve design system and component library

Experience Requirements:

• Fluent in Python and frameworks like PyTorch, JAX, or TensorFlow

• Experience in ML research or production-grade ML systems

• Track record of publication in tier-1 venues (NeurIPS, ICML, etc.)

Other Requirements:

• Ability to move fast from paper to prototype

• Focus on efficiency and scalability

• Preference for small, deep-technical teams

Responsibilities:

• Design and implement novel architectures and training methods

• Translate scientific ideas into working systems

• Publish original research

• Deploy adaptive intelligence systems

• Collaborate with core foundation model and systems teams

Benefits:

• Equity in a unicorn-stage company

• 100% medical, dental, and vision premiums

• 401(k) matching up to 4%

• Unlimited PTO

• Company-wide Refill Days

Experience Requirements:

• Familiarity with the open-source AI ecosystem

• Hands-on experience with LLM training, fine-tuning, or deployment

• Track record of building external partnerships or community relationships

Other Requirements:

• Ownership of open-source partnerships

• Community-first reasoning skills

• Pragmatic approach to developer adoption

• Clear communication between technical teams and partners

Responsibilities:

• Primary point of contact for open-source partners

• Support model releases with marketing and technical content

• Produce tutorials, articles, and guides for LFMs

• Maintain and improve LFM documentation

• Relay community feedback to internal teams

Benefits:

• Equity in a unicorn-stage company

• 100% medical, dental, and vision premiums

• 401(k) matching up to 4%

• Unlimited PTO

• Company-wide Refill Days

Experience Requirements:

• Hands-on experience with distributed training infra (DDP, FSDP, DeepSpeed)

• Experience diagnosing performance bottlenecks and OOMs

• Understanding of hardware accelerators and networking topologies

• Experience optimizing data pipelines for ML workloads

Other Requirements:

• Passion for distributed systems complexity

• Builder mindset for robust infrastructure

• Ability to thrive in ambiguity

• Data-driven decision making

Responsibilities:

• Design core systems for large training runs

• Build scalable distributed training infrastructure for GPU clusters

• Implement and tune parallelism/sharding strategies

• Optimize distributed efficiency (topology-aware collectives)

• Build data loading systems for multimodal datasets