AI Jobs

Experience Requirements:

• 3+ years of experience managing high-performing backend or platform teams

• 7+ years of hands-on backend experience working on large scale, low latency distributed systems

Other Requirements:

• Strong technical background in Kafka, ClickHouse, Postgres, Redis, and Flink

• Experience managing teams working in Java

• Comfortable in high-growth, fast-paced environments

Responsibilities:

• Lead and grow a team of backend engineers working on core systems

• Guide technical design and architecture decisions for systems handling millions of events

• Partner with product and engineering leadership to define roadmaps

• Create a culture of ownership, technical excellence, and rapid iteration

• Support team members in their growth through mentoring and feedback

Benefits:

• Competitive salary and equity packages, including a 401k

• Remote-first culture — work from anywhere

• 100% Employer covered comprehensive health insurance

• Unlimited PTO policy

• Regular team events and offsites

Experience Requirements:

• 3+ years of experience in data science, machine learning, or a related field

• Proficiency in Python

• Experience working with large datasets using distributed systems like Apache Spark and Dask

Other Requirements:

• Fluency in cloud development (AWS, GCP, Azure, etc.) and MLOps is a plus

• Strong knowledge of machine learning algorithms and statistical techniques

• Excellent analytical and problem-solving skills

• Strong communication skills

Responsibilities:

• Develop and implement advanced fraud detection models

• Collaborate with cross-functional teams to design systems

• Analyze large volumes of data to identify patterns and trends

• Evaluate and optimize performance of existing models

• Stay up-to-date with latest trends in fraud detection and ML

Benefits:

• Competitive salary and equity packages, including a 401k

• Remote-first culture — work from anywhere

• 100% Employer covered comprehensive health insurance

• Unlimited PTO policy

• Regular team events and offsites

Experience Requirements:

• 3+ years of experience in data science, machine learning, or a related field

• Proficiency in Python

• Experience working with large datasets using distributed systems like Apache Spark and Dask

Other Requirements:

• Strong knowledge of machine learning algorithms

• Excellent analytical and problem-solving skills

• Experience in fintech, marketplaces, or financial services industry is preferred

• Knowledge of current fraud tactics and trends

Responsibilities:

• Develop and implement advanced fraud detection models

• Collaborate with cross-functional teams to design systems

• Analyze large volumes of data for fraud patterns

• Evaluate performance of existing fraud detection models

• Communicate complex data analysis to stakeholders

Benefits:

• Competitive salary and benefits package

• Flexible working hours and remote work options

• Dynamic, collaborative, and innovative work environment

• Opportunities for career growth and skill development

• Access to mentorship

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Experience Requirements:

• 10 Years

• Proven experience in web development (React, Angular, or similar frameworks)

• Experience leading and managing technical teams

• Solid understanding of CI/CD pipelines, version control systems (Git), and Agile

• Experience with databases (SQL, NoSQL) and designing APIs

Other Requirements:

• Strong knowledge of AWS cloud services

• Familiarity with AI and machine learning concepts

• Strong analytical, problem-solving, and troubleshooting skills

• Excellent communication skills

• Experience with video streaming and related technologies

• Familiarity with DevOps practices and tools

Responsibilities:

• Lead and mentor a team of front-end and back-end developers

• Oversee the development of dynamic, responsive web applications

• Oversee the integration of AI technologies into the platform

• Work closely with product managers, designers, and other stakeholders

• Establish and maintain coding standards and best practices

Benefits:

• Competitive salary

• Bonus

• Employee Stock Purchase Program (ESPP)

• Premium Collective Health Insurance Plan

• Premium Collective Pension Scheme

Experience Requirements:

• 10+ years in Data & Analytics

• Leading data platform modernization

• Modernizing enterprise analytics stacks (SQL Server to Snowflake)

• Transitioning from Tableau to Power BI

• Leading data engineering, analytics engineering, and BI/reporting teams

Other Requirements:

• Product Mindset

• Expectation Setter

• Influential Leader

• Calm in Ambiguity

• Business-Savvy Storyteller

Responsibilities:

• Lead the transformation of enterprise data environment to a modern platform

• Drive the transition from Tableau Server to Power BI

• Deliver and integrate the ARR & Renewal Pool Data Product

• Own and evolve data engineering, analytics engineering, and BI/reporting teams

• Implement a predictable data product operating model

Education Requirements:

• Master's degree in data analytics, business analytics, or other closely related field

Experience Requirements:

• 1 year of related experience in data analytics

Responsibilities:

• Formulate hypotheses and test them using rigorous analytical methodologies and diverse frameworks

• Conduct advanced statistical analysis, machine learning, and data mining to drive product insights

• Develop and implement predictive models to support product strategy and decision-making

• Define key performance indicators (KPIs) and develop dashboards to monitor product performance

• Conduct A/B testing and other experimental methods to measure the impact of product changes

Benefits:

• Trust, empathy & honesty in culture

• Inclusive culture

• Agile workforce planning environment

Experience Requirements:

• Experience with dbt for data transformations

• Back-end engineering (NodeJS/Python/Java/C#)

• Data pipelines and modeling (SQL)

• Infrastructure as Code (Terraform)

• Containerization (Docker, Kubernetes)

Other Requirements:

• Excellent communication skills to advocate technical solutions

• Strong Systems Design ability

• Autonomy in fast-paced, data-driven environments

Responsibilities:

• Architect, Design, and Evolve a World-Class Data Platform

• Lead the Development of the Analytics and Semantic Layer

• Drive Self-Service Data Empowerment

• Mentor and Guide a Team of Data and Software Engineers

• Pioneer AI-First Development Practices

Benefits:

• Trust, empathy & honesty culture

• Inclusive environment

• Bringing full selves to work

Experience Requirements:

• 3+ years of leadership skills as a line manager

• 8+ years of hands-on engineering experience for B2B SaaS

• 5+ years of operational experience using Agile methodologies

• Extensive experience improving team processes and efficiency

• Data-driven decision maker

Other Requirements:

• Concise and clear communicator

• Collaborative and supportive management style

• Natural recruiter

• Ability to convert ambiguously defined problems into requirements

Responsibilities:

• Accountable for team performance in productivity, quality, and people metrics

• Continuously evolve processes, techniques, and goals

• Establish relationship of mutual trust with direct reports

• Coordinate the teams stand-up and remove potential blockers

• Work with Product Manager to build team's Product Roadmap

Benefits:

• Full health, dental, and vision benefits

• Extremely flexible PTO and parental leave policy

• VISA support where applicable

• Open and inclusive culture

• Collaborative, mission-driven team

Education Requirements:

• Bachelor’s or advanced degree in Computer Science or Engineering

Experience Requirements:

• 8+ years in Solutions Architecture or Partner Engineering

• 3+ years in a leadership or people management role

• Experience scaling functions in a startup environment

• Cloud infrastructure foundation (AWS, GCP, Azure)

• Deep understanding of developer ecosystems and APIs

Other Requirements:

• High comfort operating in ambiguity

Responsibilities:

• Build and lead the Partner Engineering team

• Develop and execute the global partner engineering strategy

• Guide technical pre- and post-sales efforts

• Run enablement programs for partner technical teams

• Drive co-innovation projects and proof-of-concepts

Benefits:

• Comprehensive Health, Dental, and Vision coverage

• 401(k) program with up to 2% company matching

• Equity grant participation

• Flexible PTO with $900 FlexExperience budget

• FlexWellness program ($1,800 annually)

Experience Requirements:

• 8+ years of hands-on software engineering experience

• 4+ years leading engineering teams

• 2+ years at senior management or director level in high-growth SaaS

• Deep understanding of AI systems and RAG

Other Requirements:

• Comfort coding and reviewing pull requests when necessary

• Track record of shipping high-quality features

• Experience managing distributed teams

• Passion for generative AI products

Responsibilities:

• Lead and scale the Brand Intelligence team (Jasper IQ and API)

• Build a high-trust, inclusive, feedback-driven engineering culture

• Collaborate with product, design, and GTM to define priorities

• Coach, mentor, and support engineers in career growth

• Participate in architectural planning and executive decision-making

Benefits:

• Certificate

• Letter of recommendation

• Flexible work hours

• 5 days a week

Education Requirements:

• Non BE/ B.Tech graduates

Experience Requirements:

• relevant skills and interests

Other Requirements:

• available for the work-from-home

• can start immediately

• Women wanting to start/restart their career

Responsibilities:

• Carrying out data research activities on the internet or our proprietary system

• Updating data fields using internal tools

• Performing any other secondary data research activity as required

Benefits:

• Competitive base + performance-based compensation

• Unlimited PTO

• Generous healthcare coverage for you and your family

• Home office and productivity setup stipend

• Professional development budget and executive coaching access

Experience Requirements:

• 8-12 years of escalating levels of responsibility in a role blending data analytics and operations

• SQL/NoSQL/Python for data extraction at an expert level

• Spreadsheet-based workflows at an expert level

• Data visualizations

• Able to structure work at program level, independently managing toward a goal

Other Requirements:

• Project management across Research, Engineering, Product

• Data cleansing/debugging/RCA with messy data

Responsibilities:

• Identify and evaluate opportunities to improve data quality across the organization

• Develop creative solutions to resolve complex data issues

• Direct Research projects to uncover opportunities and drive progress on cleanup

• Prioritize Engineering efforts and track results over time to meet deadlines

• Leverage expert-level proficiency in Python, SQL, and NoSQL to transform, cleanse, and extract data

Benefits:

• full benefits

Experience Requirements:

• Overall 2-5 years of experience

• 1-2 years of Data Research (Secondary) and analysis experience

• Secondary Data Research experience

• Intermediate skills in MS-Excel - Formulae & macros

• Python scripting - mandatory (intermediate skills)

Other Requirements:

• Should be ready to work on weekends and take days off accordingly on weekday

• Bonus if you have Executive Search related experience

• Bonus - Knowledge of Macros & NoSQL db

• Bonus - HTML + CSS/CSS selectors experience

Responsibilities:

• Enriching the data on the platform and maintaining/improving its accuracy

• Carry out Data Research activities on the internet or our proprietary system

• Maintain Data accuracy, Completeness and Freshness above required standards in Findem Platform

• Validate Data from Vendors to match the internal standards

• Query the database as required to extract Data for the various projects

Benefits:

• ‡2000–4000 gross salary depending on the experience

• Remote work option

• Ability to grow with a dynamic startup and work on an exciting product

• Freedom to experiment with your ideas

Experience Requirements:

• At least 2 years of experience in a similar role

Other Requirements:

• Experience working with data in Python

• Experience with Looker, Tableau, or other business analytics tools

• Knowledge of SQL and NoSQL databases

Responsibilities:

• Find meaningful business insights in large-scale data

• Visualize the data, create dashboards and reports for the business

• Import and transform data for machine learning models

• Optimize the data collection, storage, and analysis on a large scale

Experience Requirements:

• 8+ years in software engineering

• 3+ years in leadership roles

• Proven experience scaling SaaS engineering teams (seed to growth stage a plus)

Other Requirements:

• Strong technical background in Golang, Node, Python, or related stacks

• Excellent people leadership, process building, and execution skills

Responsibilities:

• Own engineering hiring, management, and mentorship

• Translate product roadmap into technical execution plans

• Establish engineering best practices and culture

• Ensure quality, reliability, and scalability in our SaaS platform

• Collaborate with leadership on product roadmap and priorities

Benefits:

• Equity in the form of stock options

• Medical, dental, and vision coverage

• 401(k) plan

• Flexible PTO and company holidays

• Periodic company-wide offsites and team gatherings

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field, or equivalent experience

Experience Requirements:

• 12+ years of experience across data engineering, data platforms, or analytics, with significant leadership scope

• 6+ years leading senior managers and/or directors in complex data organizations

Other Requirements:

• Proven experience owning end-to-end data systems in a production, cloud-based environment

• Deep understanding of large-scale data ingestion, pipelines, analytics, and operational reliability

• Ability to operate comfortably at both strategic and deeply technical levels

Responsibilities:

• Set and own the company-wide data strategy across engineering, analytics, acquisition, and operations

• Build and lead a multi-disciplinary data organization with clear charters, ownership, and accountability

• Translate company and product priorities into a coherent data roadmap

• Own the design and evolution of Wizard’s data architecture covering ingestion, compilation, auditing, and analytics

• Lead the analytics function that supports product, growth, operations, and leadership decision-making

Benefits:

• Equity in the form of stock options

• Medical, dental, and vision coverage

• 401(k) plan

• Flexible PTO and company holidays

• Periodic company-wide offsites and team gatherings

Education Requirements:

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience

Experience Requirements:

• 5+ years of software development and data engineering experience

• Deep expertise scaling Spark in production (Databricks, EMR, etc)

Other Requirements:

• Strong understanding of distributed computing and modern data modeling

• Proficient in Python with experience implementing software engineering best practices

• Hands-on experience with both relational (MySQL / PostgreSQL) and NoSQL databases

• Strong communicator with experience influencing cross functional stakeholders

Responsibilities:

• Design and evolve scalable, distributed data infrastructure across cloud platforms

• Build and maintain real time and batch data processing pipelines supporting analytics and AI/ML workloads

• Develop and manage integrations with third party e-commerce platforms

• Ensure data availability, reliability and quality through monitoring and automated auditing

• Mentor and support data engineers, establishing best practices and code quality standards

Benefits:

• Offers Equity

• Lunch and dinner together

• Health and gym activities

• Office-based collaboration

• Work on production-grade AI platform

Experience Requirements:

• History of building something technically exceptional

• Full-stack proficiency (TypeScript, React, Node, SQL, Redis)

• Experience with AI models, prompts, and workflows

• Understanding of distributed systems and architecture

Other Requirements:

• Care for code craft and thoughtful abstractions

• Must work from Berlin office (8:30 start)

• Kind person who cares about the team

• Ability to ship fast and build foundations

Responsibilities:

• Ship features across the AI engine orchestration layer

• Build resumable streaming infrastructure and retry logic

• Extend workflow automation and agent systems

• Maintain multi-cloud infrastructure (Azure, AWS, GCP)

• Invent new interaction paradigms for AI-native software

Experience Requirements:

• Strong attention to detail and the ability to apply consistent logic across diverse scenarios

• Comfortable navigating computer-based tools and quickly learning new software

• Patient, quality-focused mindset with the ability to juggle multiple assignments

• Clear written and verbal communication skills

• Reliable, self-motivated work style and a collaborative spirit

Other Requirements:

• Fluency in English required

• Require 5 days/week in-office collaboration

Responsibilities:

• Use proprietary annotation tools to label objects, poses, and interactions

• Collaborate with ML engineers to refine labeling guidelines and improve interface efficiency

• Identify and flag ambiguous or edge-case scenarios for review by the ML team

• Maintain high throughput and consistent quality across large annotation batches

• Contribute feedback on workflow improvements and tool enhancements

Experience Requirements:

• Excellent physical coordination, spatial awareness, and focus

• Stay on your feet for 8+ hours a day

• Master new physical tasks quickly

• Embrace constructive feedback

• Thrive in a fast paced environment

Other Requirements:

• Shift: 2:00 PM – 10:30 PM (Monday to Friday)

• Open to traveling to different locations around the Bay Area for offsite work

Responsibilities:

• Wear sensor equipment to guide the robot through human-like motions

• Collect high-quality motion data used to train AI models

• Flag any issues or bugs during collection and share daily feedback

• Follow proper equipment and robot maintenance procedures

• Maintain a safe and organized workspace during all operations