Benefits:

• Full ownership—this is your domain

• Freedom to choose tools and patterns

• A small, focused, AI-augmented team environment

• Opportunity to shape the future of manufacturing data at planetary scale

Experience Requirements:

• 5+ years in software engineering, ideally with standalone service builds

• Experience with building scalable schemas and ingestion

• Strong background in web scraping/data pipelines (ETL, Airflow, similar)

• Demonstrated expertise in using AI tools/workflows to accelerate development responsibly

Other Requirements:

• A mix of technical depth, curiosity, and the ability to go deep or pivot quickly

• Excellent communication, autonomy, and a growth mindset

Responsibilities:

• Lead AI-powered data warehousing of manufacturing equipment information

• Architect a data store to represent (almost) every product and OEM globally

• Build ingestion pipelines from internal and external sources

• Develop internal web UIs for data review & curation

• Expose clean APIs for other services to sync with and build from

Benefits:

• variety of medical, dental, and vision plans

• Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle

• Mental Health benefits with covered therapy and coaching

• 401(k) program to help you invest in your future

• Education & learning stipend for personal growth and development

Experience Requirements:

• 4+ years of relevant sales experience preferably with a sales tech solution and specifically having worked with Private Equity firms and their portfolio companies

• Track record of overachieving revenue targets of 1M+ and successfully navigating and closing six-figure deals

• Previous SaaS and enterprise software experience

Other Requirements:

• Understanding of the Private Equity industry

• Excellent verbal and written communication skills

• Experience with Gong.io is preferred but not required

Responsibilities:

• Manage prospects from lead to close

• Land new business within greenfield territory

• Clearly articulate and demonstrate our Gong value proposition, creating excitement and enthusiasm among prospects

• Hunt and close expansion opportunities within your current customer account base

• Regularly iterate messaging that will scale our outbound prospecting engine

Benefits:

• Competitive Salary

• Equity package

• Health insurance

• Unlimited Vacation time

Experience Requirements:

• 5+ years leading technical teams, experience as a Sales Engineer / Solutions Architect, or a similar technical pre-sales role in the AI, cloud, or backend infrastructure space

• Experience in customer-facing roles, with the ability to scope projects and estimate the required effort to build end-to-end applications

• Baseline knowledge of Generative AI and the evolving LLM ecosystem

• Expertise with production cloud infrastructure on AWS, Azure, and GCP

• Experience architecting end-to-end solutions across different domains

Other Requirements:

• Passionate about exploring new technologies and designing solutions to complex technical challenges

• Excellent communication skills to articulate complex technical concepts to diverse audiences

• Frequently traveling to see clients and partners (~1X per month)

Responsibilities:

• Design innovative AI architectures that solve complex business problems

• Lead technical discovery workshops to explore novel applications of AI across diverse domains

• Develop reference architectures and technical frameworks that showcase what’s possible with current and emerging AI technologies

• Guide clients through the technical landscape of AI, helping them understand capabilities and limitations of different approaches

• Partner with sales teams to translate complex technical concepts into clear value propositions

Benefits:

• Shape the future of AI talent operations at a growing AI consultancy

• Work with exceptional technical talent across various AI specializations

• Drive innovation in how we identify, vet, and deploy technical expertise

• Contribute to the strategic impact of enterprise AI adoption

Experience Requirements:

• 5+ years of experience in engineering management or technical leadership roles

• Strong technical background with recent hands-on experience in software development

• Background in AI/ML engineering or related technical fields

• Experience in building LLM-based agentic systems

• Experience in technical interviewing and candidate assessment

Other Requirements:

• Track record of building and managing high-performing technical teams

• Excellent communication and relationship-building skills

• Experience in consulting or professional services environments

• Familiarity with talent operations

• Experience with process automation and tool development

Responsibilities:

• Design and implement robust technical assessment frameworks to evaluate candidates' skills and expertise

• Conduct in-depth technical interviews to validate candidates' capabilities and experience

• Collaborate with delivery teams to understand project requirements and identify the right technical profiles

• Build and maintain strong relationships with talent in our network

• Drive automation initiatives to streamline talent sourcing, vetting, and staffing processes

Education Requirements:

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Software Engineering, or a related discipline.

Experience Requirements:

• 8+ years of relevant engineering experience, with at least 2 years in a leadership or managerial capacity.

• Strong technical background in systems engineering, embedded systems, hardware-software integration, and electronic hardware design/testing.

• Hands-on experience with development and test tools (oscilloscopes, logic analyzers, test automation tools, lab instruments).

• Proven track record of delivering complex, cross-functional engineering projects on time and within budget.

• Proficiency in testing frameworks and tools, especially in systems with custom hardware/firmware.

Other Requirements:

• Passionate about integration, testing, and quality in continuous improvement development processes.

• Ability to carefully address test case coverage especially for tough to find corner cases.

• Act as the eyes and ears of the customer to discover issues early.

• Strong experience with continuous integration (CI) and continuous deployment (CD) practices and tools (e.g., Jenkins, GitLab CI).

• Knowledge of version control systems, particularly Git, and experience with GitHub or GitLab workflows.

• Ability to work effectively in a collaborative, fast-paced, and iterative development environment.

• Strong communication skills, with the ability to clearly document issues and test findings for cross-functional teams.

• Exposure to AI, ML, or IoT-related technologies.

• Experience with a variety of sensor solutions

• Robotics experience a plus

• Familiarity with Linux microservices architecture and containerization (Docker, Kubernetes).

• Familiarity with cloud technologies (AWS, Azure, or GCP) and cloud-native architectures.

• Previous experience working in a high-growth startup environment.

Responsibilities:

• Lead, mentor, and develop a multidisciplinary team of systems integrators, test engineers, and quality focused engineers.

• Oversee the integration of hardware, firmware, and software components into cohesive and functional systems.

• Define testing strategies, validation plans, and automated test frameworks.

• Establish and enforce quality assurance approaches across the development lifecycle.

• Monitor KPIs related to product reliability, defect rates, and process efficiency.

Education Requirements:

• BS/MS degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field.

Experience Requirements:

• 7+ years of experience in embedded software development, with a strong emphasis on embedded Linux systems.

• Proven expertise in embedded Linux development, including deep knowledge of the kernel and the ability to work with low-level system components.

• Extensive experience reading, debugging, and optimizing driver/C code, including understanding complex kernel internals.

• Advanced knowledge of networking protocols in the context of embedded Linux systems (TCP/IP, UDP, CAN bus, RESTful APIs).

• Significant experience with embedded communication protocols (I2C, SPI, UART), and system-level data exchange.

Other Requirements:

• Proficiency in systems programming using languages like Rust, Go, or C, with a focus on writing efficient, resource-constrained applications.

• Deep familiarity with source control (Git) and development workflows.

• Expertise in building high-performance applications that integrate embedded sensors, with a keen understanding of hardware limitations and performance trade-offs.

• Advanced skills in designing optimized solutions using Rust, Python, or Go for embedded systems with stringent resource constraints.

• Strong background in math-based programming, with the ability to apply linear algebra for complex tasks like kinematics and leveraging tools such as NumPy.

• Expert knowledge in trigonometry and its application in LIDAR systems.

• Experience in developing AI/ML solutions, with hands-on expertise in frameworks such as OpenCV and PyTorch for embedded applications.

• Deep experience in system architectures, including event-driven and modular design approaches, as well as abstracting hardware layers (HAL, sensor fusion, application layers).

• Advanced knowledge of containerization technologies (Docker, cgroups, etc.) and their application in embedded systems.

• Strong background in Android platform development (AOSP, etc.), with a focus on embedded systems.

• Proven experience in developing, maintaining, and scaling CI/CD pipelines, particularly with tools like GitHub Actions, to ensure high-quality, automated build and release processes.

Responsibilities:

• Lead the design, development, and maintenance of embedded Linux software applications.

• Drive cross-functional collaboration, leading technical discussions with product managers, cloud engineers, and mobile engineers to ensure alignment on system architecture and design goals.

• Architect and optimize networking protocols such as TCP/IP, UDP, CAN bus, and RESTful APIs within embedded systems, ensuring efficient, high-performance communication between devices.

• Lead the integration of embedded communication protocols like I2C, SPI, and UART, facilitating robust data exchange across various embedded system components.

• Provide expert support during hardware bring-up, ensuring smooth integration with BSPs, Linux device drivers, and ongoing OS maintenance.

Other Requirements:

• Share an example of exceptional performance or something you've built that you're most proud of.

Benefits:

• Competitive salary and benefits package

• Opportunities for growth and professional development

• A dynamic and inclusive work environment

• The chance to work on cutting-edge projects that impact the future of software development

Experience Requirements:

• Proven experience as a UX Engineer or similar role, with a strong portfolio showcasing your UX design and front-end development work

• Proficiency in front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular

• Experience with design tools such as Sketch, Figma, or Adobe XD

• Strong understanding of user-centered design principles and best practices

• Ability to create wireframes, prototypes, and high-fidelity mockups

Other Requirements:

• Experience in working with AI-driven platforms

• Knowledge of accessibility standards (WCAG) and best practices

• Familiarity with user testing tools and analytics platforms

Responsibilities:

• Design and implement user interfaces that are intuitive, efficient, and engaging

• Collaborate with designers, product managers, and developers to translate user needs and business requirements into interactive and functional user interfaces

• Conduct user research, usability testing, and feedback analysis to inform design decisions

• Ensure all UI/UX designs adhere to best practices in accessibility, scalability, and responsiveness

• Develop and maintain design systems and documentation to ensure consistency across the platform

Benefits:

• Generous equity package

• Unlimited PTO (take time when you need it)

• Top-of-market salary

• Great healthcare

• 401k

Experience Requirements:

• An incredibly strong engineer with years of experience building complex backend applications.

• Strong experience of distributed systems and techniques for building fault-tolerant, high-availability platforms.

• Experience with ML algorithms, Real-time Analytics or LLMs (AI experience not required)

Other Requirements:

• Ability to roll up your sleeves and get things done.

• A great communicator and team player.

Responsibilities:

• Integrate the LLMs against hundreds of external data sources (easily surpassing terabytes per customer).

• Scale out the data platform at all levels (ingest, search, storage, aggregation and reporting).

• Leverage retrieval-augmented generation (RAG) to improve the consistency of AI outcomes and avoid duplicate inference.

• Improve our Agentic AI services as well as the platform they run on

Benefits:

• Health, Dental, and Vision Insurance

• Stay Healthy subsidy (for gym and sports)

• Unlimited PTO

• Paid Paternity and Maternity Leave

Education Requirements:

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

Experience Requirements:

• Proven experience (5 years) in engineering management or a similar leadership role.

• Strong technical background.

• Excellent project management skills, with a track record of successful project delivery.

• Demonstrated ability to lead and inspire a team, fostering a positive and collaborative work environment.

Other Requirements:

• Strong communication skills, both written and verbal, in English and Portuguese.

• Problem-solving and critical-thinking skills with attention to detail.

• Familiarity with cybersecurity is a plus.

Responsibilities:

• Lead, mentor, and develop a high-performing engineering team.

• Foster a customer centric culture of collaboration and continuous improvement.

• Provide guidance and support to team members, promoting their professional growth.

• Oversee the planning, execution, and delivery of engineering projects.

• Develop project timelines, allocate resources effectively, and ensure project milestones are met.

Benefits:

• Generous equity package

• Unlimited PTO (take time when you need it)

• Top-of-market salary

• Great healthcare

Experience Requirements:

• An incredibly strong AI Applied Researcher with experience building complex AI applications.

• Experience with LLMs, Agents, RAG, NLP, ML algorithms

• Strong experience of leading research projects from PoC stage to production.

Other Requirements:

• Ability to roll up your sleeves and get things done.

• A great communicator and team player.

Responsibilities:

• Lead the research and optimization of agentic flows to solve complex problems

• Perform PoCs using bleeding edge technologies to empower our product

• Build and optimize retrieval-augmented generation (RAG) service to improve the consistency and quality of our pipelines.

• Fine tune LLMs to optimize accuracy and cost

Benefits:

• Generous equity package

• Unlimited PTO (take time when you need it)

• Top-of-market salary

• Great healthcare

Experience Requirements:

• Strong AI Applied Researcher with experience building complex AI applications.

• Experience with NLP, ML algorithms

• Experience contributing to research projects from PoC stage to production

• Experience with LLMs, Agents and RAG - Advantage

• Experience using LLMs / Deep Learning models - Advantage

Other Requirements:

• Ability to roll up your sleeves and get things done.

• A great communicator and team player.

Responsibilities:

• Research and optimization agentic flows to solve complex problems

• Participate in PoCs using bleeding edge technologies to empower our product

• Build and optimize retrieval-augmented generation (RAG) service to improve the consistency and quality of our pipelines.

• Fine tune LLMs to optimize accuracy and cost

Benefits:

• Competitive compensation

• including an early-stage startup equity package

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related field (PhD is a plus).

Other Requirements:

• Must be available to relocate and work onsite at our brand-new London office

Responsibilities:

• Conducting research into symbolic and categorical reasoning models, bridging abstract mathematics with machine learning.

• Translating complex theoretical insights into scalable, efficient coding implementations.

• Developing and optimizing machine learning pipelines for structured reasoning tasks, with a focus on interpretability and performance.

• Building robust experimentation platforms for large-scale training and evaluation of models.

• Collaborating with researchers to explore novel architectures and methodologies in logical reasoning and structured data.

Benefits:

• competitive compensation

• attractive equity package

Other Requirements:

• Must be available to relocate and work onsite at our brand-new London office

Responsibilities:

• Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.

• Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.

• Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.

• Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.

• Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.

Benefits:

• Medical, dental, vision plans covered at 90%

• 401k Employer Contribution (nonelective contribution of 3% of your compensation)

• Flexible time off - take time off when you need it!

• Two approved remote work weeks per year

• Catered lunches & snacks in-office is available in the San Mateo office (not available for fully remote employees at this time). We are actively working on expanding benefits to all locations, especially on wellness support & team connectivity :raised_hands:. In the meantime, fully remote employees receive an additional stipend for their at-home office setup. :house:

Experience Requirements:

• Have 4+ years of full-time software engineering experience in a production environment

• Are experienced with web development and fluent with React, Typescript, and Python

Responsibilities:

• Drive projects end-to-end, from scoping and design to implementation and rollout

• Design and build delightful user-facing products from the ground up, including working hands-on with customers to demonstrate and communicate the value of Gradient technology, from demos to proofs of concept to full productionization

• Collaborate closely with leadership, applied scientists, and other engineers to ensure alignment on decisions

• Stay up-to-date with the AI landscape and technologies, ensuring we are using the best tool at hand for our platform

• Help uplevel the engineering team and shape culture and technical best practices

Benefits:

• Medical, dental, vision plans covered at 90%

• 401k Employer Contribution (nonelective contribution of 3% of your compensation)

• Flexible time off - take time off when you need it!

• Two approved remote work weeks per year

• Catered lunches & snacks in-office is available in the San Mateo office (not available for fully remote employees at this time). We are actively working on expanding benefits to all locations, especially on wellness support & team connectivity :raised_hands:. In the meantime, fully remote employees receive an additional stipend for their at-home office setup. :house:

Education Requirements:

• A degree in a deeply technical field (e.g. computer science, AI/ML, computational science) with a proven track record of applied AI research (e.g. significant journal or conference publication, lead on AI feature development, popular open source project)

Experience Requirements:

• 1+ years of software engineering experience in a production environment

• Experience with Python, PyTorch, LLM prompting

Responsibilities:

• Identify, prove out, and prototype impactful improvements to our core platform, leveraging novel AI solutions

• Collaborate with adjacent stakeholders - empathize and learn from customer needs, clearly communicate your findings to leadership, and pair with engineering on production implementation

• Stay curious on AI research at all levels of the stack

• Shape culture and research best practices for the team, and the rest of the org

Benefits:

• Medical, dental, vision plans covered at 90%

• 401k Employer Contribution (nonelective contribution of 3% of your compensation)

• Flexible time off - take time off when you need it!

• Two approved remote work weeks per year

• Catered lunches & snacks in-office is available in the San Mateo office (not available for fully remote employees at this time). We are actively working on expanding benefits to all locations, especially on wellness support & team connectivity :raised_hands:. In the meantime, fully remote employees receive an additional stipend for their at-home office setup. :house:

Experience Requirements:

• Have 5+ years of full-time software engineering experience in a production environment

• Are experienced with web development and fluent with React, Typescript, and Python

Responsibilities:

• Drive projects end-to-end, from scoping and design to implementation and rollout

• Help formulate technical roadmap by collaborating closely with leadership, applied scientists, and other engineers

• Design and build delightful user-facing products from the ground up, including working hands-on with customers to demonstrate and communicate the value of Gradient technology, from demos to proofs of concept to full productionization

• Stay up-to-date with the AI landscape and technologies, ensuring we are using the best tool at hand for our platform

• Help uplevel the engineering team and shape culture and technical best practices

Benefits:

• Competitive salary

• equity

• benefits

• Professional development opportunities

Education Requirements:

• Bachelor's degree in Computer Science or related field.

Experience Requirements:

• 3+ years of experience in technical support, software engineering, or a similar role in the software industry.

• Excellent written and verbal communication skills – you are able to work with a wide variety of geographically distributed customers and solve their problems.

• Strong understanding of software development principles, version control systems (particularly Git), and other developer tools.

• Proficiency in at least one programming language.

• Experience with code review processes and tools.

Responsibilities:

• Work directly with our customers to troubleshoot, debug, reproduce and resolve complex technical issues.

• Educate customers on the best product usage, ensuring they maximize the value out of it.

• Setup Zoom calls with customers to resolve issues, improve their experience, and enhance product adoption.

• Support the sales team in customer conversion and retention efforts.

Benefits:

• Work on cutting-edge technology with real-world impact

• Collaborative and innovative environment

• Competitive salary, equity, and benefits

• Professional development opportunities

Experience Requirements:

• Have had a closing and quota-carrying role for at least 2-5 years, while consistently exceeding monthly, quarterly, and annual sales targets

• Be highly empathetic to customers, while demonstrating a curiosity to help with solving their problems

• Possess technical competency to understand CodeRabbit’s software and build strong relationships with highly technical prospects and key business stakeholders

Responsibilities:

• Proactively identify, qualify, and close expansion sales opportunities within our existing customer accounts into closed-won business and ultimately happy CodeRabbit customers/advocates

• Bring a data analytical mindset by focusing on how to maximize the potential value CodeRabbit can deliver to our customers through higher product utilization

• Manage active sales pipeline while also improving and maturing our Expansion Sales processes and playbook

• Become a product expert and understand all components of CodeRabbit

• Relentlessly focus on solving customer needs and challenges by effectively communicating specific benefits of CodeRabbit through a combination of sales discussions, product demos, and POVs

Benefits:

• Competitive salary

• equity

• benefits

• Professional development opportunities

Experience Requirements:

• At least 5 years of experience as a Technical Writer, Developer Experience/Advocate Engineer, or related role

• Strong software development experience, particularly in areas related to version control, code review, and developer workflows.

• Proven track record of creating technical content for developer audiences

• Experience with Git, GitHub, and modern development practices

• Excellent written and verbal communication skills with ability to explain complex technical concepts clearly

Responsibilities:

• Create in-depth technical content including blog posts, tutorials, and documentation that showcase CodeRabbit's features like AST Grep rules, PR summaries, and 1-Click Suggestions

• Develop and maintain sample applications and demo repositories that illustrate best practices and real-world applications of CodeRabbit

• Write technical comparisons and benchmarks that demonstrate the advantages of AI-powered code review

• Create engaging social media content focused on developer education and community building

• Produce video content including product demos, technical deep-dives, and feature walkthroughs