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We are looking for a DevOps Engineer to own and scale the infrastructure behind our AI systems.

What you'll do
Own cluster reliability, availability, monitoring, alerting, capacity planning, and incident response.

Configure, maintain, and troubleshoot GPU servers, networking equipment, switches, InfiniBand fabrics, storage, and related infrastructure.

Deploy, maintain, and improve infrastructure around Slurm, Kubernetes, and GPU workload orchestration.

Manage and improve our cloud environment, including compute, networking, storage, IAM, security groups, cost visibility, and production infrastructure.

Build, maintain, and improve CI/CD pipelines.

Work closely with engineers to understand infrastructure bottlenecks and improve development, training, inference, and deployment velocity.

Contribute to security best practices across cloud, network, CI/CD, access control, secrets management, and production systems.

We are looking for a Deep Learning Engineer to help design, implement, optimize, and scale the training and inference systems behind our models.

What you'll do
Collaborate with cross-functional teams to bring research breakthroughs into production environments.

Build tools, abstractions, and infrastructure that make model training, evaluation, and deployment faster and more reliable.

Analyze and overcome performance and scalability challenges in large-scale distributed training.

Debug complex issues across the full ML stack: data loading, model code, distributed execution, GPU utilization, memory usage, networking, checkpointing, and serving.

Work with modern training and inference frameworks such as Megatron, TorchTitan, PyTorch, and vLLM.

We are looking for a Product Engineer to own and ship the products that put this capability in the hands of engineers, data scientists, and researchers.

What you'll do
Own product features end-to-end: scope, build, ship, measure, and iterate - across CLI, IDE integrations, web surfaces, and the AI pipeline behind them.

Talk directly to users - engineers, data scientists, ML practitioners - and let their feedback shape what you build next.

Define what AI-powered code optimization and verification feels like as a developer experience: the interaction model, the feedback loops, the trust signals. There is no established playbook; you will create the conventions.

Craft interfaces that feel fast, focused, and effortless for technical users who have zero patience for friction.

Collaborate with researchers to translate model breakthroughs into polished, reliable tooling that developers can depend on in production.

Build evaluation infrastructure and product metrics that measure whether the tools are actually getting better.

Work directly with the founding team on product strategy and roadmap.

We are looking for someone with strong fundamentals, algorithmic problem solving capabilities, hands-on engineering skills, a collaborative mindset, and a desire for continuous learning. We value people who are comfortable moving between code, systems, algorithms, and problem domains.

What you'll do
Write production-grade code powering frontier AI systems.

Work on performance, scalability, and reliability of distributed systems.

Collaborate with researchers and engineers to turn ideas into systems that run.

Improve tooling, infrastructure, and developer workflows.

We are looking for a mid-level Data Engineer, experienced with building data pipelines using Python and Airflow for structured data and relational databases. The ideal candidate is a self-directed learner, takes ownership of the pipelines they build, and cares about data quality as much as feature delivery.





Key Responsibilities:

Own our data pipelines, including maintenance and adding new features.
Take charge of data integrity and completeness, including writing and maintaining tests.
Improve process efficiency and optimize runtime performance.
Own schema design and evolution across our data pipelines.

We are looking for a Data Products Engineer to take full ownership of our internal product suite - the full-stack applications, AI agent tools, and automation pipelines that power teams across the entire company every day. You will step into an established ecosystem and take the reins. Your mission is to maintain, evolve, and build the next generation of these internal tools so every department can move faster and make smarter, data-driven decisions.

Reporting directly to the VP of CS & Data, this is a high-autonomy, tech-lead role. You wont just write code; you will make architectural decisions, solve complex domain challenges with smart software, and shape how the entire company interacts with data.

How will your day-to-day look?
Own the Internal Product Suite: Lead the development of our core full-stack applications. You will build and scale the central platforms and dashboards that give Product, CS, Sales, and executive leadership visibility into product usage, account health, business performance and more.
Advance the Internal AI Layer: Design, deploy, and refine custom agentic AI workflows - enabling teams across the organization to query complex B2B and product data naturally and conversationally.
Engineer Smart Automations: Architect workflow automations and custom APIs that pipe downstream data directly into the operational tools our teams use every day.
Bridge Data and Software: Partner seamlessly with Data Ops and Data Analysts to transform raw data models into highly usable, intuitive user interfaces and automated actions.
Run the Infrastructure: Own the end-to-end DevOps lifecycle for our internal applications, managing deployment, containerization, observability, and CI/CD pipelines.
Drive Technical Strategy: Act as the technical anchor for internal tools. You will translate high-level product and business challenges from company leaders into shipped, reliable software.

We are seeking an experienced Python Tech Lead to join our team. This role requires a skilled professional who can work independently, lead technical initiatives, and engage directly with our clients to deliver high-quality solutions.As a Python Tech Lead, you will be responsible for leading the development and maintenance of robust Python applications while serving as a technical point of contact for our clients. You'll have the autonomy to make architectural decisions, guide technical direction, and mentor team members while managing your projects and driving results.
Responsibilities:
Leading technical architecture and design decisions for Python applications. Working directly with clients to understand their requirements and provide technical guidance. Designing, developing, and maintaining scalable Python applications and solutions. Mentoring team members and conducting code reviews. Managing your own workload and delivering projects independently. Communicating technical concepts clearly to both technical and non-technical stakeholders. Contributing to best practices and technical standards within the team.

We are seeking a senior/experienced Python Developer to join our team. This role requires a skilled professional who can work independently and engage directly with our clients to deliver high-quality solutions.As a Senior Python Developer, you will be responsible for developing and maintaining robust Python applications while serving as a technical point of contact for our clients. You'll have the autonomy to manage your projects and make technical decisions that drive results.
Responsibilities
Working directly with clients to understand their requirements and provide technical guidance. Designing, developing, and maintaining scalable Python applications and solutions. Managing your own workload and delivering projects independently. Communicating technical concepts clearly to both technical and non-technical stakeholders. Participating in code reviews and contributing to best practices within the team.

we are looking for a Mgr, Software Engrg Mgmt.
As a Software Engineering Team Lead for our core product, AMS, you will lead the full-stack
engineering team responsible for the central platform used directly by all our enterprise customers.
AMS is a key business driver and one of our most impactful and revenue-generating products.
In this role, you will lead a dedicated team that works hand-in-hand with Product Management to
deliver new feature initiatives, maintain high product quality, and drive overall system stability. You
will act as a key technical leader, mentor, and hands-on contributor - owning architectural decisions,
feature execution, on-call processes, and practical solutions that help our customers get the
absolute most out of the product.
We are looking for a sharp, proactive leader with strong organizational skills, high learning agility,
and a passion for technology. If you thrive on taking ownership, making clear technical decisions,
and staying close to both the code and the product - this role is for you.
Job Description:
Team Leadership & Ownership: Mentoring and guiding a full-stack engineering team,
fostering a culture of ownership, high engineering standards, and continuous growth.
Product Collaboration: Partner closely with Product Managers to align on roadmap goals,
translate business needs into scalable architectures, and turn product vision into clean,
robust code.
Architecture & Hands-On Delivery: Drive architectural clarity and best practices across our
Python backend, React frontend, and PostgreSQL data layer. Balance hands-on coding, design
reviews, and code quality with execution management.
Operational Excellence: Oversee platform reliability, performance, monitoring, and incident
management using modern observability tools.
Customer Value & Continuous Optimization: Lead initiative-driven maintenance and
enhancements to help existing enterprise clients derive maximum value from the AMS
platform.
Modern Engineering & AI: Champion organized workflows and leverage modern tooling
(including AI-assisted development) to drive team efficiency and innovation

We are seeking a senior, hands-on engineer who combines deep engineering fundamentals with modern toolsets to deliver high-impact, production-grade software.
What You'll Do:
Lead the end-to-end design and implementation of scalable backend microservices, database schemas, and advanced frontend infrastructures.
Drive system architecture decisions, ensuring high performance, security, and reliability across AWS cloud environments.
Write clean, maintainable, and high-performing code across both backend (Python) and frontend (React, TypeScript) stacks.
Utilize AI-assisted development workflows (such as Claude Code) effectively to accelerate delivery while strictly adhering to high standards of code quality, testing, and architecture.
Partner closely with product managers, data analysts, architects, and QA engineers to deliver complex, cross-company initiatives.
Take end-to-end ownership of horizontal group projects and mentor team members on best engineering practices.

We are looking for a builder to join our Professional Services team. Someone who writes code, ships solutions, and looks for ways to automate repetitive work. Youll work directly with customers to implement, extend, and integrate our compliance platform built on Salesforce- and just as importantly, youll build AI-powered agents and internal tools that make the whole team faster. This is a hands-on technical role: youll write code, build integrations, migrate data, and solve problems that dont always come with a clear spec.

The work spans Salesforce development, Python scripting, and AWS-based workflows. You will work across multiple projects and customer environments, often picking up requirements on the fly and figuring out the best path forward independently.

To succeed here, you need to move fast, take ownership of problems before they're fully defined, and use AI tools as a natural part of how you build- not as an occasional shortcut, but as how you actually work.

Responsibilities:
Custom Development: Design and build Salesforce solution- including Apex, LWC, and integrations- based on customer requirements.
AI Agents & Internal Tooling: Design and build AI-powered agents and internal tools that improve how the team delivers- automating repetitive work, streamlining processes, and turning good ideas into working tools without waiting to be asked.
Build Python-based scripts and tools to support customer onboarding, automation, and data processing needs.
Use AI coding tools actively throughout your work- to move faster, explore unfamiliar territory, and deliver without waiting for fully defined specifications.
Translate customer requirements- sometimes vague, sometimes complex- into working Salesforce configurations, automated flows, and integrated solutions.
Collaborate with R&D, Product, and Customer Success to ensure new platform features land well in a services context.

We are seeking an experienced and passionate BI Developer with a strong background in Data Analysis to join our growing Data & Analytics team. In this role, you will own the entire BI development lifecycle-delivering scalable, reliable BI solutions and actionable insights.

You will play a key role in developing a robust data infrastructure, building intuitive dashboards, and ensuring data integrity across all reporting layers. The role is ideal for candidates who are adept at balancing hands-on development work and data analysis. You will thrive in this position if you enjoy solving complex problems, simplifying intricate data pipelines, and translating business needs into efficient data models and visualizations.
Core Responsibilities:
‍Dashboard Development - Design, implement, and iterate KPI‑oriented Tableau dashboards that expose product, growth, and engagement signals.‍‍
‍ETL / ELT Engineering - Partner with data engineers to architect and orchestrate ELT pipelines. Youll own the analytics layer and semantic definitions.
Hands‑on experience with Amazon Redshift and dbt is a significant advantage.
‍Data Quality & Governance - Deploy validation tests, reconciliation queries, and lineage tracking to guarantee accuracy, consistency, and traceability across curated datasets and published metrics.‍
Data Analysis - Perform deep-dive analysis on dashboards to generate meaningful, actionable insights.