Benefits:

• Do work that matters.

• Well-funded and global, backed by world-class investors

• Work with a bunch of awesome, genuine people

• Flexible and remote-friendly working

• Make a real impact.

Experience Requirements:

• Solid experience as a generalist Platform Engineer with broad technical skills across Cloud Native, Open Source, Virtualisation, Networking, Security and Storage

• Extensive experience using Amazon Web Services - AWS

• Strong hands-on expertise in creating and maintaining Infrastructure-as-Code using e.g. Terraform, CloudFormation, or CDK

• Expertise in supporting containerised applications, microservices architectures, orchestration and deployment

• Experience configuring and maintaining monitoring and alerting solutions such as Datadog or Prometheus

Other Requirements:

• Unable to provide sponsorship for this position.

Responsibilities:

• Provide operational oversight of configuration, CI/CD pipelines, application containerisation, deployment, orchestration

• Collaborate with Platform Engineers, Solution Architects and Tech Leads on infrastructure design and implementation

• Select appropriate design standards, methods and tools, consistent with agreed enterprise and solution architectures and ensuring they are applied effectively

• Liaise closely with engineering teams to keep platform components up to date and coordinate all software delivery pipeline activities

• Support key phases of the program including development, build, test and deployment of solutions

Benefits:

• Fully employer-covered medical, dental and vision insurance

• catered lunch

• yummy snacks

• variety of drinks

• life insurance

Education Requirements:

• M.S. or Ph.D. in Computer Science, Machine Learning, or related fields

Experience Requirements:

• 10+ years of industry experience.

• Proven experience in building, deploying, and scaling production-level ML solutions.

• Deep understanding of ML fundamentals with expertise in one or more areas: Deep Learning, Computer Vision, Traditional ML, or Large Language Models.

• Proficiency in Python, with a strong focus on clean, well-structured, and testable code.

• Experience leading and executing large-scale, cross-functional projects.

Responsibilities:

• Lead the development of robust ML models and augmentation techniques that power our scenario generation and validation systems.

• Architect scalable systems for mining, curating, and synthesizing data to fuel scenario databases, using both real-world and synthetic data.

• Collaborate with cross-functional teams, including Simulation and Science, to integrate state-of-the-art technologies into our scenario pipelines.

• Drive innovation in scenario coverage, focusing on both closed-loop and open-loop evaluations.

• Own end-to-end technical solutions: from translating product requirements into engineering tasks to delivering high-impact ML models and infrastructure improvements.

Benefits:

• onsite chef

• workplace nursery scheme

• private health insurance

• cycle scheme

• therapy

Education Requirements:

• BSc above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience

Experience Requirements:

• 7+ years of software and machine learning engineering experience in an industrial or applied research environment

• Good insight into the practical aspects of training, validation, testing and metrics for deep learning features/models

• Comfortable working with large quantities of image and video data

Other Requirements:

• Passion to work in a team on research ideas that have real product impact

• A good grasp of machine learning literature, ideally published

Responsibilities:

• Technical leadership of at least one company wide program

• Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.

• Collaborating with cross-functional teams to contribute to the broader company strategy and roadmap, focusing on machine learning applications.

• Enhancing skills and knowledge in machine learning through continuous learning and application, while contributing to the growth and mentorship of junior engineers.

• Allocating personal bandwidth and technical resources effectively to meet both project requirements and personal professional development needs.

Experience Requirements:

• Proven track record of managing engineering teams.

• Solid understanding of machine learning fundamentals.

• Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables.

• Track record of promoting software engineering best practices and excellence within the team.

• Demonstrated ability to manage software engineers and grow their careers.

Responsibilities:

• Help define and drive scenario generation technology roadmap to deliver on company goals and priorities

• Lead technical discussions and guide technical direction where needed

• Set effective KPIs and metrics

• Build resilient and reliable systems, and teams, anticipate the needs of the business 18 months out, identify areas where additional resources are needed and grow team as hiring manager

• Prioritise effectively, implement and maintain lean and effective team processes

Experience Requirements:

• 3+ years

Experience Requirements:

• 3+ years

Benefits:

• Equity Compensation

• Health & Well-being

• Financial Future

• Location

• Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays (17 for India based roles). Note that some roles in India have 17 paid company holidays instead of 11 as for US based roles; see detailed job post to know which applies to given role.) -Company Camaraderie -Food & Meal Allowance -Equipment -Child Bonding!

Experience Requirements:

• Strong, object-oriented design and coding skills (Java and/or C/C++ preferably on a UNIX or Linux platform).

• Experience with inner workings of distributed (multi-tiered) systems, algorithms, and relational databases.

Responsibilities:

• As a foundational member of the Data Infrastructure team, you will productionize the next generation of our data tech stack by building the software and data features that actually process all of the data we ingest.

• Accelerate our open source <> enterprise flywheel by working on the guts of Apache Hudi's transactional engine and optimizing it for diverse Onehouse customer workloads.

• Act as a SME to deepen our teams' expertise on database internals, query engines, storage and/or stream processing.

Benefits:

• Equity Compensation

• Health & Well-being

• Financial Future

• Location

• Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays (17 for India based roles). Note that some roles in India have 17 paid company holidays instead of 11 as for US based roles; see detailed job post to know which applies to given role.) -Company Camaraderie -Food & Meal Allowance -Equipment -Child Bonding!

Experience Requirements:

• 5-7+ years building large-scale data systems.

• Experience with inner workings of distributed (multi-tiered) systems, algorithms, and relational databases.

• Experience with large scale data compute engines / processing frameworks.

• Experience building distributed and/or data storage systems or query engines.

Responsibilities:

• As an engineer on the Open Source team at Onehouse, you'll play a pivotal role in shaping and realizing the vision and roadmap for Apache Hudi, while also shaping the future of data lakehouse space.

• Collaborate across multiple teams within Onehouse, serving as the vital bridge between the open-source Apache Hudi project and Onehouse's managed solution, ensuring seamless collaboration and integration.

• Engage closely with community partners and contributors, serving as a steward of the Apache Hudi project, fostering collaboration and guiding its evolution.

• Champion a culture of innovation, quality and timely execution, enabling the team to deliver on the vision of the next-generation data lakehouse.

• Architect and implement solutions that scale to accommodate the rapid growth of our customer base, open source community and the ever-expanding demands of the datalake ecosystem at large.

Benefits:

• Comprehensive medical, dental, and vision insurance

• Flexible Spending Account (FSA), Health Savings Account (HSA

• Expert Healthcare Guidance

• Retirement savings

• 15 company holidays each year 15 days of personal time off each year Flex Commuter Benefits Daily lunch and dinner on Chalk Office is fully-stocked with drinks and snacks to fuel your work day.

Education Requirements:

• Bachelor’s Degree

Experience Requirements:

• 2+ years of experience (bonus points for a start-up environment!)

• Proven history of exceeding quota targets at at high-growth organizations by navigating and developing new sales processes History of strategic and creative pipeline generation tactics - you are constantly testing and iterating on channels, messaging, and tactics

Responsibilities:

• Work closely across the GTM team to strategize and execute outreach campaigns that drive pipeline creation and revenue

• Analyze market data and develop strategic approaches to key accounts to raise awareness and generate interest for Chalk

• Craft compelling messaging across channels including email, phone and LI in conjunction with other stakeholders Identify the needs of potential customers and suggest the appropriate path forward Build long-term, trusting relationships with prospects; own the data Schedule demos between prospects and sales executives Own hand-offs and tracking opportunity account details including use case, purchase timeframes and next steps Report weekly, monthly and quarterly metrics

Experience Requirements:

• 2+ years of experience managing SDRs in fast-paced, high-growth companies

• Proven experience owning and building SDR playbooks from scratch

• Track record of achieving and exceeding KPIs

Responsibilities:

• Hire, onboard, and train world-class SDRs to identify and create qualified opportunities

• Build a playbook across different segments and personas to create repeatability

• Meticulously monitor and analyze team performance metrics and KPIs, identify areas for improvement, and implement corrective actions as necessary

• Own and manage the outbound tech stack

• Coach SDRs to improve their prospecting, qualification, and outbound/inbound sales skills, ensuring consistent improvement Ensure effective lead tracking, reporting, and data management in the CRM system; analyze performance metrics, pinpoint areas for enhancement, and execute initiatives to optimize sales development Collaborate with product marketing, sales, developer advocacy, and operations to refine messaging Demonstrate leadership in shaping our value messaging and contribute to strategic sales cycles

Benefits:

• Comprehensive medical, dental, and vision insurance

• Flexible Spending Account (FSA), Health Savings Account (HSA

• Expert Healthcare Guidance

• Retirement savings

• 15 company holidays each year 15 days of personal time off each year Flex Commuter Benefits Daily lunch and dinner on Chalk Office is fully-stocked with drinks and snacks to fuel your work day.

Education Requirements:

• Bachelor’s Degree

Experience Requirements:

• 5+ years of experience of closing experience technical sales (2+ in a start-up environment - ideally with experience in enterprise B2B / developer tools)

• Proven history of exceeding quota targets at at high-growth organizations by navigating and developing new sales processes

• History of strategic and creative pipeline generation tactics

Responsibilities:

• Identify prospective customers, generate and convert opportunities for net new business

• Design and execute dynamic sales strategies to meet and exceed revenue quotas

• Analyze market landscapes, trends, to define playbook for the Chalk sales playbook

• Take a consultative approach to sales by assessing customer goals and technical challenges

• Become an expert on Chalk and answer questions about the product Lead presentations and demos of Chalk’s product and collaborate with ML Engineers Negotiate prices and terms Work closely with Engineering, Machine Learning Engineering and Marketing teams

Benefits:

• Comprehensive medical, dental, and vision insurance

• Flexible Spending Account (FSA), Health Savings Account (HSA

• Expert Healthcare Guidance

• Retirement savings

• 15 company holidays each year 15 days of personal time off each year Flex Commuter Benefits Daily lunch and dinner on Chalk Office is fully-stocked with drinks and snacks to fuel your work day. Staying late? Dinner is on us Staying even later? Grab an Uber / Lyft home on Chalk

Experience Requirements:

• 5+ years of engineering experience with 2+ years of technical leadership

• Previous experience at an early-stage startup

• Experience building production ML systems or data infrastructure

Responsibilities:

• Lead a team of engineers building Chalk's data platform

• Partner with the founding team to define and execute our technical roadmap

• Lead with a player-coach mindset — jumping into the code whenever needed

• Establish engineering processes that enable high velocity without sacrificing quality

• Work directly with customers to understand requirements and ensure Chalk's platform solves real-world ML challenges Shape Chalk's engineering culture as we grow — you'll help us nurture top talent

Benefits:

• Comprehensive medical, dental, and vision insurance

• Flexible Spending Account (FSA), Health Savings Account (HSA

• Expert Healthcare Guidance

• Retirement savings

• 15 company holidays each year 15 days of personal time off each year Flex Commuter Benefits Daily lunch and dinner on Chalk Office is fully-stocked with drinks and snacks to fuel your work day. Staying late? Dinner is on us Staying even later? Grab an Uber / Lyft home on Chalk

Experience Requirements:

• 2+ years experience of professional backend software engineering experience

• Strong working knowledge of computer science fundamentals.

Responsibilities:

• Work directly with Chalk’s co-founders to productionize our first iteration

• Write Python and Rust

• Design, implement, ship, and maintain significant components of our query planning and execution engine

• Iterate rapidly to improve Chalk’s platform in response to customer needs

Benefits:

• Comprehensive medical, dental, and vision insurance

• Flexible Spending Account (FSA), Health Savings Account (HSA

• Expert Healthcare Guidance

• Retirement savings

• 15 company holidays each year 15 days of personal time off each year Flex Commuter Benefits Daily lunch and dinner on Chalk Office is fully-stocked with drinks and snacks to fuel your work day. Staying late? Dinner is on us Staying even later? Grab an Uber / Lyft home on Chalk

Experience Requirements:

• Technical background including experience writing software or building ML models

• 2+ years experience of professional backend software engineering experience

Responsibilities:

• Write code to implement Chalk technology for Chalk customers and prospects. You will become familiar with Chalk infrastructure and find the best way to integrate and implement them in different environments

• Work closely with our Engineering and Sales teams

• Act as the the primary technical point of contact pre-sales and post-sales (when we are onboarding a new customer or supporting an existing one)

• Recommend new products to customers as their business evolves

• Help interview and grow the Engineering team

Benefits:

• Medical insurance

• Team events

• Competitive salary, equity

• Continued education

• Flexible work location

Experience Requirements:

• Experience building and shipping full-stack web applications in production

Experience Requirements:

• Proven experience in leading product design teams, preferably within a B2B SaaS environment.

• A strong portfolio that demonstrates high-quality design work, strategic thinking, and end-to-end product design.

• Expertise in Figma and other design tools, including experience with design systems across multiple products.

• Experience in mobile-first design.

Responsibilities:

• Act as a multiplier by empowering your team to perform at their best while also being willing to roll up your sleeves and execute when necessary.

• Set and drive the design vision, ensuring alignment with company goals and values.

• Collaborate closely with cross-functional partners (Product, Engineering, Marketing, etc.) to deliver exceptional design outcomes.

Responsibilities:

• Develop and maintain Vue.js 3 projects using the Composition API with HTML, CSS (TailwindCSS), and Vue 3.

• Adapt Figma designs into fully functional Vue components with precision.

• Build and optimize frontend architectures and design systems.

Experience Requirements:

• 3+ years

Experience Requirements:

• 6+ years