Benefits:

• Comprehensive Health, Dental, and Vision coverage

• 401(k) program with 2% 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

• Deep understanding of AI systems and RAG

• Experience managing distributed teams

Other Requirements:

• Excellent written and verbal communication skills

• Passion for building generative AI products

• Located in the continental US

Responsibilities:

• Lead and scale the Brand Intelligence team

• Bring AI and RAG knowledge to inform product direction

• Build a high-trust, inclusive engineering culture

• Collaborate with product, design, and GTM teams

• Ensure reliable delivery and resolve blockers

Education Requirements:

• Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field

• Master’s degree in a relevant field – preferred

Experience Requirements:

• 3+ years of experience in Data Science

• Strong statistical background

• Solid understanding of classical machine learning models and algorithms

• Proficiency in Python and SQL

• Experience with modern AI coding tools (e.g., Claude Code, Cursor)

Other Requirements:

• Experience working with Git

• Data warehouses and platforms such as Snowflake and/or Databricks

• Experience working in modern data environments and pipelines

• Experience working in production environments

Responsibilities:

• Develop, implement, and maintain machine learning models on business-related data

• Apply statistical methods to analyze large, complex datasets and extract actionable insights

• Partner with stakeholders across Product, GTM, and Business teams to identify opportunities

• Support deployment, evaluation, and monitoring of models in production environments

Benefits:

• Substantial equity ownership

• $10,000/year employer-funded healthcare benefit via Thatch

• $220/week meal stipend

• E3 sponsorship for Australians

• Choice of Mac, Linux, or Windows

Education Requirements:

• Computer Science Background (or ability to beat a founder in a 1:1 whiteboard duel on DS&A)

Experience Requirements:

• Building production data pipelines (Dagster, Airflow, Prefect, or similar)

• Data modelling expertise: designing schemas for analytical and ML workloads

• Infrastructure experience: AWS (S3, RDS, Glue, Lambda), containerisation, IaC

• Production database experience: PostgreSQL, graph databases (Neo4j, Neptune, or similar)

• Monitoring and observability for data systems: lineage, quality metrics, alerting

Other Requirements:

• Strong Python fundamentals and software engineering discipline

• Comfort with ambiguity and novel problem domains

• Commitment to high-velocity work and rapid iteration

• Personal projects that demonstrate depth

Responsibilities:

• Designing ingestion pipelines that process millions of screenshots and events daily

• Building data validation and quality systems to catch drift

• Creating feature stores and serving infrastructure

• Optimising storage and query patterns for time-series behavioural data

• Orchestrating complex DAGs coordinating OCR and LLM enrichment

Education Requirements:

• Pursuing a Bachelor’s degree in Supply Chain Management, Operations Management, Business, Industrial Engineering, or Data Analytics

Experience Requirements:

• Strong analytical and organizational skills with attention to detail

• Effective written and verbal communication skills

• Proficiency in Microsoft Excel

• ERP experience a plus

• Interest in manufacturing, supply chain operations, and data-driven improvement

Other Requirements:

• Ability to work independently and manage multiple tasks

Responsibilities:

• Review and analyze item master data within the Syteline ERP system

• Assist in standardizing part numbers and identifying duplicate inventory items

• Support the review and cleanup of purchased parts including pricing and supplier data

• Collaborate with Buyers, Logistics, and Finance to gather accurate information

• Help update item status and recommend inactivation where appropriate

Benefits:

• Coaching, mentoring, and career development

• Impact on mission-critical platform reliability

Education Requirements:

• Degree in Computer Science or equivalent field

Experience Requirements:

• 12+ years of Software Development experience

• 3+ years in Engineering Management roles

Other Requirements:

• Experience hiring and building top talent teams

• Ability to work in EST timezone (4:00 PM – 1:00 AM IST)

• Track record of communicating with global stakeholders

Responsibilities:

• Lead Production Engineering team in EST timezone

• Own operational excellence for production environments

• Champion metrics-driven culture (MTTA/MTTR)

• Foster collaborative mindset with leadership

• Plan and manage on-call rotations and escalation models

Benefits:

• equity

• benefits

• annual bonus

• commission plan

Education Requirements:

• Degree in a quantitative field, or equivalent work experience

• Advanced degree is preferred

Experience Requirements:

• 3+ years working experience in data science, data analysis, or analytics engineering

• 2+ years experience working with massive real-life datasets

• Extensive understanding of supervised and unsupervised machine learning methods

• Proficiency writing clean, performant code in Python

• Experience querying relational databases with SQL

Other Requirements:

• Experience with cloud tools in AWS, Azure, Databricks, or GCP

• Excellent verbal and written communicator

• Experience in identity verification and fraud prevention strongly preferred

Responsibilities:

• Analyze massive customer data sets and provide actionable insights

• Act as a Data Science advocate to educate and influence customers

• Create convincing data stories to showcase model performance

• Provide thought leadership for next generation core models

• Create tools and automated workflows to improve analysis speed and accuracy

Benefits:

• Multi-agent systems development for production

• Work with cutting edge research experts

• Bonus program

• Training budget

• Chance to develop and grow

Education Requirements:

• M.Sc. in data science, machine learning, or similar quantitative field

• PhD in quantitative field (preferred)

Experience Requirements:

• 6+ years of experience in data science or applied machine learning

• 2–3 years in leadership or team lead capacity

Other Requirements:

• Client facing experience in technically driven project communications

• Strong applied knowledge of supervised and unsupervised machine learning

• Proficiency in Python and deep learning frameworks

• Working knowledge of SQL/NoSQL/Vector databases

• Fluency in English (written and spoken)

Responsibilities:

• Translate the department’s strategic vision into actionable data science projects

• Oversee and support design and implementation of scalable AI and data science solutions

• Manage project prioritization, resources, and timelines

• Provide strategical oversight and architectural guidance for data science solutions

• Mentor and support the professional growth of data scientists and engineers

Benefits:

• Equity

• Benefits

• Generous benefits package

Education Requirements:

• BS or MS in Computer Science or equivalent

Experience Requirements:

• 10+ overall years of software development

• 5+ years of experience in leading a SW engineering team

• Hands on experience with Cloud Services (SaaS)

• Experience taking mobile and cloud products from inception to release

• Demonstrated capability to provide deep technical leadership

Other Requirements:

• Strong customer focus

• Interpersonal skills

• Experience engaging with analysts and industry visionaries

• Passionate perfectionist

• Out-of-box thinking

Responsibilities:

• Lead a team building cloud services supporting GeForce NOW

• Build a strategy for growing usage and scale

• Own technical requirements, roadmaps, design, and operations

• Partner closely with peer organizations to achieve business success

• Drive improvements in service reliability

Benefits:

• Stock options

• Bonuses

• Variable compensations

• Incentives

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field

Experience Requirements:

• 15+ years of software engineering experience

• Several years in engineering management roles

• Prior experience scaling teams in a high-growth startup

• Series A–C experience strongly preferred

• Experience building and scaling high-performing engineering teams

Other Requirements:

• Understanding of microservices architecture

• Experience with DevOps, CI/CD, and observability

• Excellent communication and stakeholder management skills

Responsibilities:

• Lead and grow engineering teams across UI, Platform, Infrastructure, and Services

• Mentor and develop engineering managers and senior ICs

• Build organizational structures and processes that enable cohesion and scale

• Partner with product, design, and security leaders to align strategy

• Drive execution on complex technical projects

Benefits:

• Comprehensive health, dental, and vision insurance

• 401(k) with company match

• Generous PTO and parental leave

• Top-tier equipment and home office stipend

• Learning & development budget

Experience Requirements:

• 4-10 years of software engineering experience

• Fluency in multiple programming languages

• Deep understanding of modern software development practices

• Experience with enterprise development workflows

• Hands-on experience with Jira

Other Requirements:

• Ability to travel 10-20% domestic for customer engagements

• Strong communication skills

Responsibilities:

• Embed with customer teams as a technical co-pilot

• Write production-quality code to integrate Blitzy with existing systems

• Develop reusable patterns, scripts, and tools

• Decompose executive vision into actionable engineering roadmaps

• Identify expansion opportunities within accounts