AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Software Engineering Intern (Summer 2026)
Build and deploy production-ready web applications in minutes using an AI agent that handles code generation, database setup, and hosting automatically.
Benefits:
Competitive Salary & Equity
401(k) Program with a 4% match
Health, Dental, Vision and Life Insurance
Short Term and Long Term Disability
Paid Parental, Medical, Caregiver Leave
Education Requirements:
Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, or related technical field
Have at least one semester of schooling remaining after the internship completion
Experience Requirements:
Proficient in at least one programming language and comfortable with full stack development
Passionate about developer tools, AI, or making technology more accessible
Thrive in fast-paced environments where you can move quickly
Other Requirements:
Self-directed and autonomous while collaborating effectively with cross-functional teams
Responsibilities:
Ship real features to millions of developers using Replit's platform
Collaborate cross-functionally with engineers, designers, product managers, and AI researchers
Build and optimize developer experiences that make coding accessible to everyone
Work on cutting-edge AI tools and infrastructure
Learn from the best in an environment where your ideas are heard
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Engineering Manager, Developer Productivity AI
Discover and launch early-stage side projects with a human-curated directory that connects founders to over 20,000 potential users and early adopters.
Benefits:
4 day work week
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Account Data Entry Officer At Vouch Nigeria Limited
Discover and launch early-stage side projects with a human-curated directory that connects founders to over 20,000 potential users and early adopters.
Other Requirements:
Typing speed and accuracy
Proficiency in MS Excel or Google Sheets
Responsibilities:
Accurate data processing
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Data Analyst
Discover and launch early-stage side projects with a human-curated directory that connects founders to over 20,000 potential users and early adopters.
Benefits:
4 day work week
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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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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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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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Engineering Manager
Streamline your multi-channel inventory with real-time tracking, AI-driven demand forecasting, and 700+ integrations designed for scaling product businesses.
Benefits:
Hybrid Working Environment
30 days fully remote per six months
Paid birthday off
Global Wellness Day
Fully paid health insurance
Experience Requirements:
3–5+ years leading engineering teams
Proven success managing development and QA
Experience driving engineering excellence
Delivering complex multi-team initiatives
Experience hiring and coaching technical teams
Other Requirements:
Strong understanding of agile methodologies
Knowledge of SDLC and modern delivery pipelines
Responsibilities:
Set and drive modern engineering standards
Provide hands-on technical leadership
Partner with senior engineers on roadmaps
Lead, coach, and develop engineers and QA
Ensure predictable, high-quality delivery
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Data Analyst / Reports Developer
Automate lead qualification and convert conversations into revenue across SMS, voice, and chat with an AI-driven, compliant omnichannel engagement platform.
Benefits:
Medical, Dental, Vision and Life Insurance
Training and Education Allowance
Paid time off
Company observed Federal Holidays
401K plan with matching
Experience Requirements:
At least 2 years of professional data development experience
Other Requirements:
Experience with building database reports, KPIs for business and client needs
Working experience in SQL and RDBMS such as Postgresql, MySql or similar
Strong interpersonal skills with ability to communicate technical content to general audiences
Nice to have experience in Database modeling
Nice to have or willingness to learn Python / ML / NLP modules
Responsibilities:
Analyze customer use cases and build customer metrics, KPIs, reports and data models
Collaborate with product, client success and developers to develop effective strategies and solutions
Provide business teams support with SQL based reporting and analytics requirements
Anticipate, understand and grow the platform to scale with focus on performance
Assist in implementing, monitoring and troubleshooting solutions in production
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Data Scientist, Marketing
Transform raw footage into polished, professional videos using AI-driven automated cutting, multi-language captioning, and custom digital avatars for creators.
Other Requirements:
Ability to work from office in Union Square, NYC
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Data Analyst
Deliver feature-film quality visual effects on tight TV timelines using proprietary AI automation, GPU rendering, and specialized workflows for premium series.
Education Requirements:
Bachelor’s Degree
Experience Requirements:
3+ years experience in data analytics, revenue operations, or business analytics
Other Requirements:
Strong experience working with sales and marketing data
Advanced Excel or spreadsheet modeling skills
Proficiency in SQL and familiarity with statistical or data science tools (e.g., Python, R, Scikit-learn)
Experience working with CRM platforms (preferably Hubspot)
Familiarity with BI tools such as Looker, Tableau, PowerBI, or Metabase
Responsibilities:
Analyze the full revenue funnel from lead -> opportunity -> customer
Build dashboards that track core GTM metrics such as pipeline health and conversion rates
Design and maintain dashboards for sales, marketing, and executive leadership
Support the implementation and optimization of data-heavy systems such as CRM and marketing automation
Partner with Marketing, Sales, Finance, and Product to define and track key business metrics
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Data Engineer
Train and validate medical AI models faster with instant access to millions of de-identified, diverse imaging studies from real-world clinical environments.
Education Requirements:
BSc or BEng in computer science or related field
Experience Requirements:
4+ years industry experience
Strong Mid or Senior level
Experience with Google Cloud, AWS or Azure
Strong Python and SQL experience
Experience with Apache Beam (or similar e.g. Spark, Flink, Dataflow)
Other Requirements:
Solid understanding of Linux systems
Version control and CI/CD using Github and Github Actions
Familiarity working with image datasets
Experience building systems where security and privacy are first-class concerns
Experience with healthcare compliance frameworks (HIPAA)
Responsibilities:
Working with sensitive healthcare data, including de-identification
Building scalable data processing pipelines for large, image-heavy datasets
Using distributed computing (Google Cloud)
Building and maintaining systems that scale (App Engine, Cloud Functions)
Deploying ML models in production
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Director, Software Engineering
Maximize dealership profitability and streamline operations with an integrated ecosystem of AI-driven tools for inventory, marketing, and sales performance.
Benefits:
Flexible vacation with pay
Seven paid holidays
160 hours of paid wellness annually
Bereavement leave
Time off to vote
Education Requirements:
Bachelor's degree in a related discipline
Master's degree
Ph.D.
Experience Requirements:
10 years' related experience
5+ years' software engineering leadership experience
Experience running geographically dispersed teams
Other Requirements:
Strong technical foundation in architecture
Experience leading large software modernization
Excellent communication skills
Ability to travel approximately 15%
Clear a pre-employment drug test
Responsibilities:
Lead, mentor, and develop engineering teams
Drive engineering excellence
Partner with cross-functional leaders
Manage staffing and talent development
Oversee budgeting and risk management
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Engineering Manager - Product & Platform
Bridge the gap between AI development and production with a unified platform for agent engineering, real-time observability, and automated LLM evaluations.
Benefits:
medical, dental, vision
401(k) plan
unlimited paid time off
generous parental leave plan
mental and wellness support
Experience Requirements:
Experience as both an individual contributor and a manager
Other Requirements:
Strength in product/fullstack and backend/infrastructure engineering
Ability to lead teams and tech leads
Clear and direct communicator
Responsibilities:
Contribute as an engineer on product and infrastructure challenges
Lead a team of engineers and tech leads
Drive projects end-to-end
Work cross-functionally with Product and Design
Mentor engineers into broader scope and leadership
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Manager, Software Engineering (Data)
Reach every employee with personalized, AI-powered communication across mobile, email, and intranet to drive engagement and measurable business outcomes.
Experience Requirements:
At least 10 years of professional software engineering experience
3 or more years managing engineering teams
Directly managed a team of 8+ software engineers
Experience building and operating systems on AWS in a production environment
Experience with SQL, Python, or TypeScript
Other Requirements:
Experience with Kubernetes, Helm, Airflow, dbt, AWS Glue, Kafka, AWS S3, AWS QuickSight, or AWS SageMaker
Legally authorized to work in the country
May be required to successfully complete pre-employment screening
Responsibilities:
Lead the delivery and ongoing production ownership of customer-facing Enterprise SaaS applications
Manage a team of 8+ software engineers including distributed or remote members
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Engineering Manager, Narrative Editing
Edit video and podcasts as easily as a text document using AI-powered transcription, automated filler word removal, and studio-quality voice enhancement.
Benefits:
generous healthcare package
401k matching program
catered lunches
flexible vacation time
Experience Requirements:
5+ years of software engineering experience
2+ years of engineering management experience
Experience hiring and developing strong engineering talent
Experience building creative tools
Other Requirements:
Strong product sense
Clear and effective communicator
Data-driven thinker
Responsibilities:
Own execution and manage team priorities
Define team direction in collaboration with Product and Design
Recruit, mentor, and grow software engineers
Drive operational excellence in engineering processes
Guide architectural decisions and technical bar
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Human Data Operations Partner
Access a pool of 200,000+ verified human participants to train AI models, conduct behavioral research, and gather high-quality data in minutes.
Benefits:
Competitive salary
Benefits
Remote working
Experience Requirements:
Experience in operations in marketplace or platform environments
Experience supporting AI/ML lifecycle projects
Strong project management skills
Proficiency in operational tools (Zapier, Asana, etc)
Experience in implementing and optimising processes
Other Requirements:
Confidence with data analysis and operational metrics
Exceptional communication and documentation skills
Responsibilities:
Execute end-to-end operational processes for participant pools
Manage participant onboarding, verification, and activation
Identify gaps in participant supply
Transform manual processes into scalable technology solutions
Communicate operational changes to stakeholders
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Human Data Operations Partner
Access a pool of 200,000+ verified human participants to train AI models, conduct behavioral research, and gather high-quality data in minutes.
Benefits:
Competitive salary
Impactful, mission-driven culture
Experience Requirements:
Experience in operations, ideally in marketplace or platform
Managing multiple projects and meeting deadlines
Implementing and optimising processes
Experience supporting AI/ML lifecycle projects
Familiarity with participant recruitment
Other Requirements:
Professional level English (spoken and written)
Ability to be in Mexico City Office 1-2 days a week
Proficiency in Metabase, Zapier, Asana, and HubSpot
Responsibilities:
Pivotal role in operational processes powering participant pools
Primary point of contact for participant-related operations
Develop detailed project plans and workflows
Monitor participant engagement and quality metrics
Upskilling and certification processes for participants
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Human Data Operations Partner
Access a pool of 200,000+ verified human participants to train AI models, conduct behavioral research, and gather high-quality data in minutes.
Benefits:
Competitive salary
Benefits
Remote working
Experience Requirements:
Experience in operations, ideally in marketplace or platform environments
Strong project management skills
Experience implementing and optimising processes
Experience supporting AI/ML lifecycle projects
Familiarity with global crowdsourcing/gig-economy platforms
Other Requirements:
Proficiency in operational tools (Metabase, Zapier, Asana, HubSpot)
Confidence with data analysis and operational metrics
Responsibilities:
Ensure smooth execution of end-to-end operational processes
Manage participant onboarding, verification, and activation
Identify and address gaps in participant supply
Transform manual processes into scalable technology solutions
Collaborate with product, data, science, and customer success teams
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Data Analyst
Access a pool of 200,000+ verified human participants to train AI models, conduct behavioral research, and gather high-quality data in minutes.
Benefits:
Competitive salary
Benefits
Remote working
Experience Requirements:
Advanced SQL proficiency
Strong Python proficiency (pandas, automation)
Building scalable reporting frameworks in BI tools (Metabase, Looker, Tableau)
Designing and analysing A/B or operational experiments
Grasp of B2B and two-sided marketplace metrics
Other Requirements:
Commuting distance of Mexico City Office
Solid grounding in statistical concepts and causal thinking
Responsibilities:
Build metrics, experimentation discipline, and insight systems
Own analytics that shape business evolution
Transform raw data into clarity around revenue and profitability
Present insights directly to senior stakeholders
Partner across Product, Operations, Commercial, and Finance functions
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