AI Jobs

Benefits:

• Share options

• Hybrid working model

Responsibilities:

• Provide business users and power users with a world-class experience

Benefits:

• The best equipment

• Family support

• Share options

• Generous holiday

• Learning and development

Other Requirements:

• Familiarity with AWS (Kubernetes, Lambda)

• Knowledge of Node.js and React

• Experience with CI/CD tools like Terraform and GitHub Actions

• Understanding of data tech like Redshift, Snowflake, or PostgresQL

Responsibilities:

• Build and deliver Inventory AI and Pricing AI products

• Ensure platform is robust, scalable, and delivers exceptional user experience

• Utilize microservices and micro-front end architectures

• Build and deploy intricate AI solutions

Experience Requirements:

• Shipped to production across the stack and close loops fast

• Strong fundamentals: performance, reliability, security, and product/UX judgment

• AI-native builder: experience with agentic tools (Cursor, Claude Code, etc.)

• Ability to use AI for speed while keeping quality high with tests/CI/observability

• Comfortable in a very small-team environment and ambiguity

Other Requirements:

• Currently based in the Bay Area (no relocation)

• Excited to learn new tools and domains fast

Responsibilities:

• Build and ship across the full stack: Shopify app, storefront widget, AI extraction pipeline

• Harden a live Shopify app and storefront integration

• Extend the mobile web creator upload flow with Mux

• Turn raw buyer video into structured product evidence at scale

• Design, build, debug, and operate product features

Benefits:

• Competitive compensation and equity

• Comprehensive medical, dental, and vision benefits

• Unlimited and flexible PTO

Experience Requirements:

• 4–5 years of professional software development experience preferred

• Experience building frontend applications with React, TypeScript, and Next.js

• Ability to write SQL queries independently

• Pragmatic approach to automated testing and code quality

• Experience with data-heavy or analytics-focused products

Responsibilities:

• Build and maintain responsive user interfaces

• Develop reusable UI components within the product

• Support front-end and back-end integration for AI tools

• Build dashboards and agent-style interfaces

• Iterate quickly based on user feedback

Benefits:

• Early-stage startup experience

• Work on core retail technology problems

• Ability to shape engineering culture

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or equivalent

Experience Requirements:

• 10+ years of software development experience

• 5+ years in engineering leadership roles

• Track record of scaling teams from ~5 to 50+ engineers

• Deep expertise in modern programming languages and distributed systems

• Experience building and scaling multi-tenant SaaS platforms

Other Requirements:

• Knowledge of observability tools like Honeycomb is a plus

• Experience with SOC 2, GDPR compliance is a plus

Responsibilities:

• Lead engineering teams in designing scalable cloud-native architectures

• Drive technical strategy with an AI-first approach

• Oversee the development lifecycle and CI/CD pipelines

• Mentor talent and foster a culture of innovation

• Establish engineering KPIs and system performance metrics

Benefits:

• Competitive salary and meaningful equity

• Comprehensive healthcare

• Unlimited vacation policy

• 401(k) and pension plans

• Complete work setup

Experience Requirements:

• 1–3 years of experience in marketing, GTM, or related roles

• Familiar with basic marketing tools; CRM experience is a plus

• Familiar with B2B SaaS; fintech, banking, or fraud experience is a plus

Other Requirements:

• Comfortable with hands-on, sometimes repetitive execution work

• Highly organized with strong attention to detail

• Curious, coachable, and eager to learn

• Confident asking questions and collaborating cross-functionally

• Read through this whole this page (the easter egg is "x-ray")

Responsibilities:

• Execute go-to-market campaigns across events, email, web, SEO, and LinkedIn

• Own end-to-end execution of assigned campaigns, especially events

• Manage campaign logistics including lists, invites, reminders, and follow-up

• Support outbound and follow-up efforts tied to campaign and event leads

• Help run creative programs such as direct mail and gifting

Benefits:

• competitive compensation

• startup equity

• health insurance

Education Requirements:

• Advanced degree in Computer Science, EE, or a related field, or equivalent practical experience.

Experience Requirements:

• 3+ years of experience working on ML systems, large-scale model training, inference, or adjacent areas.

• Demonstrated experience owning complex technical projects end-to-end.

Other Requirements:

• Strong expertise in Systems-first profile, RL-first profile, or Model architecture design.

• Comfortable working from algorithms to engines.

• Solid research foundation in area(s) of depth.

• Strong coding ability in Python.

Responsibilities:

• Advance inference efficiency end-to-end

• Unify inference with RL / post-training

• Own critical systems at production scale

• Provide technical leadership (Staff level)

Benefits:

• competitive compensation

• startup equity

• health insurance

Experience Requirements:

• 8+ years in data center strategy, site selection, or infrastructure planning at a hyperscaler or large colocation provider

Other Requirements:

• Strong technical grasp of DC fundamentals (power architecture, cooling, rack density).

• Experience leading large complex multi-party negotiations.

• Knowledge of standard data center, power, and real estate contractual frameworks.

• Financial fluency in TCO modeling and lease vs. own analysis.

Responsibilities:

• Develop Together's global data center strategy

• Own site selection and vendor relationships

• Lead technical site diligence process

• Negotiate and interface with executive and senior level management

• Drive high-impact commercial and strategic transactions

Benefits:

• competitive compensation

• startup equity

Experience Requirements:

• Experienced backend developer with work in relational databases and key/value stores

• Experience working in Elixir or another functional programming language is strongly preferred

• Proficient in TypeScript and Next.js API development

Other Requirements:

• Willing and eager to become proficient in Elixir and Phoenix.

• Interested in authentication and authorization (OIDC, SAML, OAuth, JWT, RBAC).

• Passion for working in high-performing startup teams.

Responsibilities:

• Design & Implement Elixir APIs and services

• Build service SDKs and advise other teams

• Contribute to running the Elixir/Erlang VM (BEAM) in production

• Work across services to improve integrations and replace legacy solutions

• Participate in making product and technical decisions

Benefits:

• competitive compensation

• startup equity

• health insurance

Experience Requirements:

• 5+ years of experience in HR Operations, People Operations, or a related role at a high-growth startup

• Strong HRIS experience with hands-on system administration

• Experience supporting international employees and systems across multiple countries

Other Requirements:

• Solid understanding of payroll concepts.

• Exceptional attention to detail.

• Strong logical thinker who enjoys problem-solving.

• Ability to handle employee confidential information with discretion.

Responsibilities:

• Own day-to-day maintenance and administration of HRIS (HiBob)

• Manage employee lifecycle events (onboarding, changes, offboarding)

• Partner with Payroll, Finance, IT, and external vendors

• Troubleshoot discrepancies across systems

• Support immigration processes and compliance management

Benefits:

• Continuous learning and development opportunities

• Flexible work culture for healthy work-life balance

• Innovative solutions hub

• Collaborative environment

• Social activities and hobby clubs

Responsibilities:

• Provide high-quality technical support for IPera's growing client & partner base

• Primary interface for Tier-2 support of cloud-based IPERA STARLING WiFi Software

• Handle technical issues reported by customers

Benefits:

• Professional growth opportunities

• Flexible work culture

• Healthy work-life balance

• Innovative solutions hub

• Collaborative environment

Responsibilities:

• Provide high-quality technical support for IPera's growing client & partner base

• Primary interface for Tier-2 support of cloud-based IPERA STARLING WiFi Software

• Resolve technical issues reported by customers

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Education Requirements:

• Bachelor’s degree in a technical field (physical sciences, engineering, computer science, statistics, etc.)

Experience Requirements:

• 3+ years of building and implementing analytics solutions for stakeholders

Other Requirements:

• Must be a US citizen

• Must have an active Secret or Top Secret/SCI clearance

• Fluency with scripting in Python

• Travel for customer meetings

Responsibilities:

• Successfully conduct a 6 month structured training program

• Provide DataRobot platform and data science support to clients

• Enable customers to solve complex data science problems

• Work side by side with sales, success and engineering teams

• Act internally as the voice of the customer

Benefits:

• Opportunity to work on cutting-edge AI projects with a meaningful impact on society

• Collaborative and innovative work environment

• Professional growth and development opportunities

• Competitive salary and benefits package

Experience Requirements:

• 5–6 years of experience in managing data projects

• Experience designing data architectures

• Experience implementing end-to-end data solutions on Microsoft platform

• Hands-on expertise in data warehousing

• Expertise in ETL processes

Other Requirements:

• Strong experience with Microsoft data stack (SQL Server, Azure Data Factory, etc.)

• Excellent communication skills

Responsibilities:

• Build and maintain data pipelines and data warehouse solutions

• Design scalable and efficient data models

• Collaborate with cross-functional teams and stakeholders

• Manage data projects

• Design data architectures

Benefits:

• Competitive salary + equity

• Full health, dental, and vision coverage

• Flexible PTO

• Weekly team lunches

• Hybrid work

Experience Requirements:

• Strong SQL skills and experience working with large, event-based datasets

• Experience building and owning dashboards

• Experience analyzing product usage data and defining meaningful metrics

• Proven ability to define product metrics and analyze product usage

• Strong communication skills and comfort working with cross-functional partners

Other Requirements:

• Product intuition and curiosity about user behavior

• Strong communication skills, including presenting insights in slides or written form

• Bias toward action and iteration in a fast-moving environment

• Experience working on API, platform, or developer-focused products

• Experience with experimentation and A/B testing

Responsibilities:

• Own product metrics & definitions

• Build and maintain dashboards

• Build clear, concise readouts (slides, docs, summaries)

• Perform deep-dive analysis investigating usage or error patterns

• Translate complex data into clear narratives

Benefits:

• Competitive salary + equity

• Full health, dental, and vision coverage

• Flexible PTO

• Weekly team lunches

• Hybrid work

Education Requirements:

• Bachelor’s degree in Business or equivalent experience

Experience Requirements:

• 4–7+ years of experience in Revenue Operations, Sales Operations, or Marketing Operations

• Strong proficiency with HubSpot CRM, Default, Notion

• Highly analytical - able to dig into data and structure it

• Exceptionally detail-oriented and process-driven

• Demonstrated ability to operate strategically while executing with precision

Other Requirements:

• Clear, thoughtful communicator

• Energized by shaping early systems in a growing org

• Passionate about AI, ethical innovation, and Modulate’s mission

Responsibilities:

• Drive revenue engine excellence and optimize end-to-end processes

• Build the data backbone for growth and reporting frameworks

• Architect automation & AI leverage across the GTM tech stack

• Translate insights into action to improve conversion rates

• Own the revenue systems ecosystem including HubSpot governance

Benefits:

• Competitive salary + equity

• Full health, dental, and vision coverage

• Flexible PTO

• Weekly team lunches

• Hybrid work

Experience Requirements:

• 5–7 years of experience shipping real products, from MVP to scale

• Extreme ownership mindset

• Strong product taste and clear passion for UX and design quality

• Strong data analytics and metrics experience

• Comfort operating in a fast-moving startup environment

Other Requirements:

• Experience working closely with APIs, developer workflows, or technical enterprise products

• Ability to prototype functional product experiences quickly

• Strong communication and execution discipline across Product + Engineering

Responsibilities:

• Drive end-to-end execution across key platform product areas

• Translate strategy into clear scope, milestones, and shipped outcomes

• Run fast build→launch→learn cycles with constant iteration

• Contribute strong product design thinking and raise the UX bar

• Collaborate with Engineering as the VP’s right hand

Education Requirements:

• Advanced degree in Computer Science, Electrical Engineering, or a related field

Experience Requirements:

• 10+ years designing and building large-scale distributed systems

• At least 4 years focused on GPU-based cloud infrastructure

• Proven experience enabling large-scale AI training, inference, or computer vision workloads

• Deep understanding of petabyte-scale data architecture

• Technical leadership with a track record of defining architectural strategy

Other Requirements:

• Experience with multi-cloud orchestration

• Familiarity with Ray, Kubernetes, Airflow, or Flyte

• Background in safety-critical or real-time inference use cases

Responsibilities:

• Define and evolve architecture for global compute orchestration across thousands of GPUs

• Design systems for petabyte-scale data federation across geographies

• Build foundations for cross-region GPU job execution in hybrid/multi-cloud environments

• Act as a trusted partner to leadership on compute investments and architecture

• Uplift the engineering org through architectural coaching and mentorship

Education Requirements:

• Bachelor’s degree (or equivalent) in a relevant discipline

Experience Requirements:

• Previous experience as a software engineer or security engineer

• Proven experience in application security and vulnerability management

• Led or played a key role in addressing a significant application security incident

• Working knowledge of application security frameworks (e.g. OWASP ASVS, OWASP Top 10)

• Hands-on experience with application security tooling (e.g. SAST/DAST/IAST)

Other Requirements:

• Experience scoping, managing, and interpreting third-party penetration testing

• Ability to make sound, risk-based decisions independently

• Experience building or scaling an application security programme

Responsibilities:

• Define, lead, and mature application-focused security reviews and risk identification

• Lead response activities for application-centric security incidents

• Maintain visibility of application vulnerabilities and track remediation progress

• Partner with engineering teams to embed secure design principles and threat modelling

• Define and deliver the roadmap for scaling Wayve’s application security capability

Experience Requirements:

• Experience in technical program management or operations roles in high-complexity environments

• Track record of managing programs requiring coordination between technical and operational teams

• Deep experience with test planning and operational readiness frameworks

• Proven ability to influence across teams and functions, including remote stakeholders

• Strong problem-solving skills in ambiguous, rapidly evolving environments

Other Requirements:

• Ability to travel internationally up to 30% of the time

• Experience in autonomous vehicles or field robotics operations

• Background in process improvement methodologies (Lean, Six Sigma)

Responsibilities:

• Convert high-level program plans into clear, actionable on-road plans

• Lead execution across internal-facing and external-facing testing programs

• Act as connective tissue between model developers, product teams, and operations

• Maintain consistent experiment design and vehicle availability across testing programs

• Partner with Systems and Enablement teams to leverage fleet data for process refinement