About World Labs:

We build foundational world models that can perceive, generate, reason, and interact with the 3D world — unlocking AI's full potential through spatial intelligence by transforming seeing into doing, perceiving into reasoning, and imagining into creating. We believe spatial intelligence will unlock new forms of storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical worlds. We bring together a world-class team, united by a shared curiosity, passion, and deep backgrounds in technology — from AI research to systems engineering to product design — creating a tight feedback loop between our cutting-edge research and products that empower our users.

Role Overview

We’re looking for a Senior Product Engineer who thrives at the intersection of product and engineering. You should have strong coding skills across the stack, a deep appreciation for intuitive user experiences, and the technical expertise to design end-to-end systems. In this role, you’ll own product features end-to-end—from ideation through to building responsive, user-centric web apps and backend services. Serving as a "player-coach," you will act as the engineering counterpart to product management to help with technical roadmapping and sprint execution. You will bring crucial software engineering and technical leadership experience to support a highly talented product team that currently leans heavily on design.

What You Will Do:

• Partner directly with product leadership on technical roadmapping, sprint planning, and execution.
• Serve as a Technical Lead and mentor (player-coach) to support a cross-functional product team.
• Contribute technically as a full-stack engineer to both the frontend and backend of our core web applications.
• Develop and ship user-facing features with a highly product-minded approach, moving beyond just building internal tools or libraries.
  
  

Key Qualifications:

• 4-10 years of software engineering experience, demonstrating adaptability and ownership.
• Deep proficiency in modern web application technologies for the frontend (e.g., TypeScript, React) and backend services, with a strong understanding of web architecture; especially in interactive and real-time applications with performance considerations.
• Proven experience serving in a Tech Lead or senior mentorship capacity for engineering and design teams.
• A highly product-minded approach with a strong drive to design end-to-end systems and ship features.
• Excellent problem-solving abilities and a strong foundation in computer science principles.

Preferred Qualifications:

While not required, experience in one or more of the following is a strong plus:

• Experience in 3D graphics programming and shader development, particularly web frameworks such as WebGL and three.js.
• Experience building applications around generative image, video, or 3D AI models.
• Contributions to open-source graphics or machine learning projects.
• Experience working in VFX, gaming, 3D design, or other industries that focus on high-fidelity visual outputs.

Who You Are

• Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible.
• Resilient Builder: Impacting Large World Models isn't a sprint; it's a marathon with hurdles. We're looking for builders who can weather the storms of groundbreaking research and come out stronger.
• Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.
• Collaborative Spirit: We're building something bigger than any one person. We need team players who can harness the power of collective intelligence.

We're hiring the brightest minds from around the globe to bring diverse perspectives to our cutting-edge work. If you're ready to work on technology that will reshape how machines perceive and interact with the world, World Labs is your launchpad.

Join us, and let's make history together.

Equal Opportunity & Pay Transparency

Equal Employment Opportunity

World Labs is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected under applicable law. We welcome all qualified applicants and are committed to providing reasonable accommodations throughout the hiring process upon request.

California Pay Transparency

In accordance with California law, we disclose the following:

Functional Safety Engineer, Energy Storage

Redwood Materials is pioneering a sustainable circular economy for lithium-ion batteries by transforming recycled materials into critical inputs for energy storage and next-generation battery technologies. We are seeking a motivated and experienced Functional Safety Engineer to join our team and play a key role in ensuring compliance with functional safety standards and advancing the safe deployment of new energy storage system (ESS) technologies. 

Responsibilities will include: 

• Functional Safety & Compliance: Lead compliance activities for ESS functional safety with a focus on UL 1998 (Software in Programmable Components), UL 991 (Tests for Safety-Related Controls Employing Solid-State Devices), and UL 5500 (Remote Software Updates). Support certification efforts and align product development with functional safety requirements
• Standards Application & Development: Apply safety principles and methodologies to ESS hardware and software. Facilitate and lead the development of FMEA’s, hazard analyses, safety cases, and test strategies. Represent Redwood in standards development activities to help shape emerging requirements for ESS functional safety
• Certification Management: Work with certification bodies (NRTLs) to establish and manage compliance programs for new technologies, ensuring timely approvals to support product introduction milestones. Partner closely with engineering and product teams to integrate safety requirements into development cycles
• Team Support & Alignment: Translate complex safety standards into actionable requirements for cross-functional teams. Provide technical guidance on functional safety practices and address feedback to align product designs with compliance needs
• Risk Management: Develop, document, and execute hazard mitigation and validation strategies. Support testing and verification activities to ensure system safety performance. Coordinate with internal and external stakeholders to resolve compliance and safety issues proactively
• Stakeholder Collaboration: Collaborate with engineering, manufacturing, and product design teams to streamline compliance and safety processes for ESS. Maintain strong relationships with certification bodies and industry partners to stay ahead of evolving safety requirements

Desired Qualifications: 

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Systems Engineering, or related field 
• Hands-on experience in embedded software development, ideally within safety-critical or regulated environments
• Preferred experience developing or working directly with microcontroller-based systems, including low-level software or firmware
• Proficiency in C for real-time embedded systems
• Strong background in UL 1998, UL 991, and UL 5500
• Familiarity with international functional safety standards such as IEC 61508, IEC/UL 60730, ISO 26262, or ISO 13849 (preferred)
• Experience working with Energy Storage Systems, power electronics, or safety-critical systems
• Demonstrated ability to apply functional safety methodologies (e.g., hazard analysis, safety cases, V&V planning)
• Experience managing compliance or certification processes with third-party testing/certification bodies
• Strong organizational skills, with high attention to detail
• Excellent communication skills, with the ability to explain complex technical requirements to diverse stakeholders
• A passion for sustainability and making the world a better place!

Service Engineer, Energy Storage

Position Summary:

Redwood Materials is currently searching for a Service Engineer to join as an early member of a new engineering team working on our Battery Energy Storage System product line.  You will be responsible for resolving complex technical issues across deployed Battery Energy Storage Systems (BESS). This role supports an Operations and Maintenance (O&M) organization that performs routine monitoring, preventive maintenance, and first-line troubleshooting. Service Engineering serves as the technical escalation path for O&M, owning deep diagnostics, system-level failure analysis, and engineering-driven corrective actions. 

The Service Engineer ensures safe, reliable, and high-performing asset operation by bridging field operations and engineering, translating operational issues into engineering solutions, and feeding field learnings back into product and system design. This role has the potential of growing into leadership as the team grows.  

The ideal candidate is highly self-driven, adaptable to a startup environment, and eager to take on both technical and leadership challenges. You’re a leader and a doer, excited about working in a dynamic, fast-paced setting, and want to shape the electrical engineering function within a new department at Redwood.

Essential Duties and Responsibilities:

• Act as the primary technical escalation point for the O&M organization for issues beyond standard operating procedures
• Define clear handoff criteria, escalation thresholds, and response expectations between O&M and Service Engineering
• Lead, mentor, and scale a team of Service Engineers providing tier-2 and tier-3 technical support
• Own investigation and resolution of complex electrical, controls, software, thermal, and system-integration issues
• Translate field and O&M feedback into actionable requirements for Product, Systems, and R&D Engineering teams
• Drive improvements in system serviceability, reliability, and maintainability through design and process changes
• Own advanced service documentation including troubleshooting guides, decision trees, and service bulletins
• Develop technical training materials and support O&M team upskilling on new systems, upgrades, and known issues

Desired Qualifications:  

Physical Requirements:  

• Ability to perform the essential job functions consistent safely and successfully with the ADA, FMLA and other federal, state and local standards, including meeting qualitative and/or quantitative productivity standards
• Ability to maintain regular, punctual attendance consistent with the ADA, FMLA and other federal, state, and local standards 

Working Conditions:  

• Environment, such as office or outdoors
• Ability to work in challenging working conditions which may include exposure to noise, dust, chemicals, and temperature extremes, while protected by PPE, for extended periods of time
• Essential physical requirements, such as climbing, standing, stooping, or typing
• Occasional work weekends, nights, or be on-call as a regular part of the job
• Travel requirements, up to 40%

Senior Software Engineer, Energy Storage

This position is on a team building the software platform that powers optimized control and market participation of battery energy storage systems (BESS) — software that runs both on site controllers and in the cloud. Our scope spans the full stack: compute infrastructure, telemetry, asset modeling, alerting, feature ingestion and storage for forecasting and optimization, simulation and operational control orchestration, and integration with energy markets. We're a lean team that holds ourselves to high standards in both the quality of what we build and the speed at which we build it. We value collaboration, trust, learning, and engineering excellence, and we genuinely enjoy building great things together.

Responsibilities will include:

• Contribute to BESS data engineering — building and maintaining telemetry pipelines and stores, and feature ingestion and storage systems for forecasting and optimization
• Design, build, and maintain simulation and training infrastructure — platforms for running and orchestrating simulations at scale
• Develop and operate real-time forecast and optimization workflows, orchestrating pipelines that drive BESS operations
• Support energy market integration, including data ingestion and bid management
• Collaborate across the full stack and across team boundaries to ensure the product system works well as a whole
• Write well-tested, well-monitored software and iteratively improve it over time
• Apply AI tools to accelerate development while maintaining high system design quality and code standards

Desired Qualifications: 

• Strong software design instincts — thinks in systems, reasons from first principles, and understands the real-world challenges of building available, reliable, scalable, and secure distributed systems
• Comfortable using AI tools to move faster without letting them erode system design or code quality
• Excellent collaborator — communicates clearly, listens well, and makes the people around them better
• Bias toward action — takes initiative, makes progress in ambiguous situations, and doesn't wait for perfect information
• Systems thinker and owner — willing to think and collaborate across team boundaries to make sure the product works well as a whole
• Rigorous about quality — writes well-tested, well-monitored software and iterates on it over time
• B.S. or advanced degree in Software Engineering, Computer Science, or another discipline, combined with 2-5 years of experience in software engineering.
• Experience with relevant technologies a plus: Kubernetes, Rust, Python, NATS, PostgreSQL/TimescaleDB, SQLite
• A passion for sustainability and making the world a better place! 

Project Engineer, Energy Storage

Position Summary:

Redwood Materials is currently searching for a Project Engineer to join as an early member of a new engineering team working on our Battery Energy Storage System product line. You will own the full project lifecycle - from commercial scoping and BD handoff through engineering, procurement, construction, commissioning, and structured handoff to Operations and Maintenance - for a growing portfolio of utility-scale and behind-the-meter storage projects. 

You are the connective tissue between Business Development, Product Engineering, EPC partners, and customers. You drive schedule, manage risk, and ensure every project is delivered on time, on budget, and to spec.

The ideal candidate is highly self-driven, adaptable to a startup environment, and comfortable operating where processes are still being built. You’re a doer and a builder, excited about working in a dynamic, fast-paced setting, and want to shape how Redwood delivers energy storage projects at scale. 

Essential Duties and Responsibilities

• Drive end-to-end project execution from requirements scoping and BD handoff through engineering, procurement, construction, commissioning, and O&M handoff
• Own the integrated end-to-end schedule, budget tracker, and risk register for each assigned project; proactively identify and escalate schedule or cost risks
• Serve as the primary interface between Business Development, Product Engineering, EPC partners, and customers across all project phases
• Track RFI and submittal workflows, change order logs, permitting, interconnection coordination, and all contractual project deliverables
• Partner with Product Engineering on equipment selection, BOM alignment, and technical scope definition for each project
• Oversee commissioning readiness and test plan execution; manage structured handoff documentation to O&M
• Maintain project data in Smartsheet, SharePoint, and relevant PM tooling; provide S&OP planning inputs and deployment forecasting to leadership
• Capture lessons learned and contribute to the development of repeatable delivery templates, checklists, and execution standards

Desired Qualifications:  

• Bachelor’s degree in Engineering, Program Management, Business, or a related discipline
• 5+ years of program management experience in energy storage, renewable energy, or utility-scale power infrastructure
• Demonstrated experience managing projects from scoping through commissioning and O&M handoff, with ownership of schedule, budget, and risk
• Strong cross-functional communication skills - comfortable managing up, down, and across EPC, customer, and internal engineering teams
• A Passion for sustainability and making the world a better place! 

Physical Requirements:  

• Ability to perform the essential job functions consistent safely and successfully with the ADA, FMLA and other federal, state and local standards, including meeting qualitative and/or quantitative productivity standards
• Ability to maintain regular, punctual attendance consistent with the ADA, FMLA and other federal, state, and local standards

Working Conditions:  

• Hybrid office environment (San Francisco, CA) with regular travel to project sites
• Ability to work in varying site conditions which may include exposure to noise, dust, and temperature extremes while visiting active BESS construction and commissioning sites
• Essential physical requirements, such as climbing, standing, stooping, or typing 
• Occasional work on weekends or after hours to meet project milestones
• Travel requirements, up to 25% - primarily to project sites across the U.S.

Staff Mechanical Design Engineer, EPC 

Redwood Materials is hiring for a Staff Mechanical Design Engineer to join our Engineering, Procurement, and Construction team. This role is at the center of our activities focused on creating a sustainable circular economy for lithium-ion batteries by transforming recycled materials into battery materials for new lithium-ion battery production. 

Responsibilities will include: 

• Serve as Mechanical Engineer of Record on projects (Hazardous occupancy, clean and dry spaces, chemical process / industrial plants), responsible for mechanical / plumbing deliverables (specifications, calculations, permit / construction documents). 
• Design ownership for a wide range of mechanical and plumbing systems including, but not limited to: industrial/non-potable water, HVAC systems (labs, offices, industrial plants), process heating / cooling systems humidifiers, dehumidifiers, abatement systems (dust collectors, scrubbers), cooling towers, fans/pumps, plumbing, etc. 
• Review conceptual designs from developing Engineers and identify technical and financial risks. 
• Responsible for designing/reviewing mechanical engineering deliverables with respect to code compliance and ensuring design maintains the highest level of quality. 
• Develop and improve project workflows and standards to ensure each design is consistently excellent. 
• Participate in on-field construction and commissioning activities by serving as the point of contact for technical questions and real-time issue resolution. 
• Multi-discipline collaboration on the development of equipment general arrangements, P&IDs, isometrics, tie-in lists and material takeoffs. 
• Travel to project site and meetings as needed. 

Desired Qualifications: 

• Bachelor’s Degree in Mechanical Engineering or an equivalent discipline. 
• Licensed Professional Engineer with NCEES record with ability to apply for NV and SC 
• 7+ years of work experience in HVAC and Plumbing/FP design. 
• Expert familiarity with ICC including International Energy Conservation, Mechanical, Plumbing and Fire Protection Codes, NFPA standards, SMACNA duct construction standards, ACGIH Ventilation Practices and ASHRAE 
• Working knowledge of designing the following equipment types: condenser fluid heat rejection systems, chillers, boilers, air handling units, air and water source heat pumps, dust collectors, humidifiers, dehumidifiers, fans, and pumps. 
• Working knowledge or experience with the following is preferred: Abatement systems (thermal oxidizers, dry and wet scrubbers), Heat Exchangers (shell/tube, plate/frame, brazed fin), Control Valves and Instrumentation, and Heat Recovery Systems. 
• Working knowledge of writing sequences of operation for HVAC and chilled water systems. 
• Ability to specify ductwork material and size for various ducted exhaust systems and pressure classes. 
• Ability to specify pipe material and size for various thermal hydronic systems. 
• Ability to create or edit construction specifications covering mechanical, process piping and plumbing systems. 
• Proficient in the use of Revit and AutoCAD. Experience sourcing and specifying mechanical equipment and executing RFP process. 
• Strong experience with engineering software packages: Pipe-Flo (or other hydraulic modeling application), Caesar II, AspenTech applications and/or Applied Flow Technology applications, Carrier HAP, Trane Trace, Navisworks, Bluebeam. 

Team Description:

As a Software Engineer on the Agentic AI Team, you'll work directly with the engineers and scientists who use the platform every day. You won't be handed a spec doc from a product manager three layers removed from the problem.

Some days you're heads-down writing harness code, chasing a flaky tool call or shaving minutes off a worker boot. On another day, you might spend a morning pairing with a robotics engineer to figure out why their agent keeps timing out, then spend the afternoon writing a new skill that gives every agent in the company access to a system that didn't exist yesterday. The constant is that you're close to the user and shipping solutions quickly. 

Job Description and Responsibilities:

This role builds the systems that automate digital work at Neuralink. Every day, scientists, engineers, and operators use our agents to perform complex data investigation, query telemetry, debug code, investigate incidents, and stitch data across implants, robots, and clinical trials. 

The platform you'll build is what makes that possible - and what determines how fast the rest of the company can move.

You’ll own a stack that spans dispatchers, persistent worker pools, identity and LLM proxies, session memory, and dozens of skills that connect agents to our internal systems. As more of the company adopts agents, the surface area grows fast - and you'll be the one owning the roadmap and deciding on the highest value projects. You’ll be expected to find new problems at the company to solve.

We're moving fast - model capabilities advance every month, and we're racing to keep our capabilities at the frontier. 60-hour weeks are not uncommon, and there are stretches where the pace is high. This isn't for everyone.

Required Qualifications: 

• A bachelor's degree in Computer Science or equivalent demonstrated work experience
• You've built software that real people use, and you've felt the difference between a demo and a production system
• You can talk to users, understand their workflow, and translate that into a tool an agent can drive reliably. This role is deeply collaborative
• You take ownership: when an agent run breaks in production, you debug it
• You're comfortable with ambiguity:  the patterns for building agentic systems are still being figured out, and a lot of what you build will be the first version of its kind here

Field Quality Engineer, Energy Storage

Redwood Materials is currently searching for a Field Quality Engineer to join as an early member of a new engineering team working on our Battery Energy Storage System product line. You will be responsible for ensuring the quality, reliability, and safety of deployed Battery Energy Storage System (BESS) assets by identifying, investigating, and preventing field issues. This role works closely with Operations & Maintenance (O&M) teams that perform routine monitoring and maintenance, and with Service Engineering, which owns advanced technical escalation. 

The Field Quality Engineer serves as the frontline quality owner in the field, focusing on identifying systemic quality issues, conducting structured investigations, and driving corrective and preventive actions. This role plays a critical part in reducing repeat failures, improving fleet reliability, and feeding real world learnings back into engineering, suppliers, and operational processes. You’re a doer, excited about getting your hands dirty and working in a dynamic, fast-paced setting, and want to shape a new department at Redwood.

Responsibilities will include:

Infrastructure Software Engineer, Energy Storage 

The Infrastructure Engineer is responsible for designing, building, and maintaining the foundational platform infrastructure that enables our engineering team to develop and deploy Battery Energy Storage Systems reliably and at scale. This role serves as a force-multiplier across the organization, owning edge fleet management, server provisioning, and deployment automation while ensuring systems are secure, scalable, and performant. The position partners closely with cross-functional engineering teams to translate early deployment learnings into platform improvements and drive resolution of scalability, reliability, and security challenges. Success in this role requires deep technical expertise, a collaborative mindset, and the ability to thrive in an ambiguous, fast-paced, early-stage environment. 

Responsibilities will include: 

• Design and own the rollout of edge Kubernetes fleet management, automated server provisioning, and software update pipelines to support scalable and reliable system deployment. 
• Evaluate server hardware and operating systems to help define the architecture of the organization's next-generation energy storage platform. 
• Identify and resolve hard infrastructure problems, including scalability bottlenecks, reliability gaps, performance issues, and security vulnerabilities. 
• Build and maintain tooling and services used to validate software systems at scale, including performance and reliability testing frameworks. 
• Serve as a technical resource for the broader engineering team through pair programming, in-office working sessions, and hands-on project leadership. 
• Translate learnings from early deployments and customer pilots into concrete, measurable improvements to platform infrastructure. 
• Reinforce a team culture grounded in engineering excellence, curiosity, inclusivity, and a willingness to take action and learn from mistakes. 

Desired Qualifications: 

• 5+ years of relevant industry experience in infrastructure, platform, or site reliability engineering. 
• Strong grasp of system design principles and real-world experience building available, reliable, scalable, and secure distributed systems. 
• Experience designing, implementing, and maintaining secure network systems and infrastructure. 
• Genuine interest in server hardware fundamentals and how software and hardware interact at the platform level. 
• Ability to work comfortably with ambiguity, prototype solutions iteratively, and learn rapidly from early-stage work. 
• Strong written and verbal communication skills, with the ability to explain complex systems clearly to both technical and non-technical audiences. 
• Ability to manage multiple workstreams, shifting priorities, and competing deadlines in a fast-paced, early-stage environment. 

Staff BESS Electrical Design Engineer, EPC

Redwood Materials is seeking a Battery Energy Storage Systems (BESS) Electrical Engineer to join our EPC team. This role is central to the design of scalable, high-performance energy storage infrastructure for utility-scale and distributed applications. Our mission is to build a sustainable circular economy for lithium-ion batteries by transforming recycled materials into high-quality inputs for new batteries.

Responsibilities will include: 

• Lead electrical engineering efforts for utility scale lithium-ion BESS projects from concept (system sizing, layout) through construction. 
• Interface with utilities and ISO/RTOs to support interconnection studies/submittals, permitting, and compliance for new renewable and BESS projects. 
• Serve as the internal subject matter expert (SME) for technical challenges related to BESS.  
• Design AC and DC electrical systems for BESS using medium voltage transformers, inverters, DC combiners, energy managers, and battery modules. Specify and procure long-lead AC equipment. 
• Develop schematic diagrams, single-line diagrams, wiring schematics, raceway plans, grounding plans, and protection strategies for AC and DC systems. 
• Specify and evaluate components such as circuit breakers, contactors, fuses, disconnects, emergency power off (EPO), and metering devices. 
• Coordinate with civil, structural, fire & life safety, SCADA/telecom, geotechnical, and DC system design teams to produce complete IFC packages and technical specifications. 
• Ensure designs comply with applicable codes and standards such as NEC 705, NEC 706, IEEE 1547, UL 9540, NFPA 855, and local amendments. Lead code reviews and provide summary to internal teams. 
• Integration of BESS with grid infrastructure and other renewable and traditional energy sources.  
• Perform power system studies for short circuit, load flow, arc flash, and protective device coordination for AC and DC systems. 
• Serve as the Electrical Engineer of Record for assigned projects. 
• Maintain up-to-date knowledge of BESS technologies, codes, and industry trends.  
• Lead R&D efforts to perform feasibility analysis of using medium voltage DC distribution system for integrating BESS with other sources. 
• Provide CA support for RFIs, submittal reviews, change orders, and site inspections. 
• Coordinate with internal stakeholders and external consultants to track scope, schedule, and budget. 
• Prepare engineering cost estimates and project schedules in collaboration with project controls at various design milestones. 
• Perform QA/QC reviews of electrical designs and mentor junior engineers. 
• Contribute to internal design standards, templates, and best practices. 
• Manage project workload and ensure timely delivery of engineering documents. 
• Support strategic initiatives related to grid integration, renewable energy, and energy storage. 

Desired Qualifications: 

• Bachelor’s or Master’s degree in Electrical Engineering from ABET accredited program. 
• Licensed Professional Engineer in Nevada or eligible for reciprocity. Must get their PE in Nevada and South Carolina within 2 months of start date. 
• Minimum 5 years of experience in solar, energy storage, or microgrid sectors, with at least 3 years focused on BESS design and deployment. 
• Proven expertise in interconnection and regulatory compliance for BESS systems. 
• SME in knowledge of NEC 705, NEC 706, IEEE 1547, UL 9540, and NFPA 855.  
• Advanced proficiency in: 
• Microgrid and hybrid power systems modeling tools using HOMER or similar 
• Power system modeling using ETAP, SKM, or similar 
• AutoCAD/Revit, Navisworks, Bluebeam, Microsoft Office 
• Preferred proficiency in: 
• Transmission-level load flow and stability using PSSE and PSLF 
• Electromagnetic Transient Simulations using PSCAD, EMTC or similar 
• SEL Relay Settings using SEL AcSELerator or equivalent 
• Design of HVDC systems and converter station 
• Strong understanding of energy storage use-cases including peak shaving, load shifting, demand response, and frequency response. 
• Highly motivated, proactive, and detail oriented. 
• Ability to communicate effectively through verbal, written, and visual formats. 

Staff Electrical Design Engineer, EPC

The Staff Electrical Engineer is responsible for the end-to-end electrical design of industrial, offices, and lab facilities across multiple locations. The role holds full ownership of electrical deliverables — from concept through construction — across a diverse range of project types including hazardous occupancy, recycling facilities, office and labs, warehouse environments, and 34.5 kV/24.9 kV site infrastructure. The engineer is expected to operate with a high degree of independence, serving as Electrical Engineer of Record on assigned projects while coordinating across multiple disciplines to deliver code-compliant, construction-ready packages on schedule and within budget. This position requires a licensed Professional Engineer who is not only highly skilled at performing complex engineering calculations but also motivated, detail-oriented, and capable of communicating effectively at all levels — from field teams to executive stakeholders.

Responsibilities will include:

• Design and own a wide range of electrical systems — including medium voltage (up to 34.5 kV) feeds, low voltage power distribution, lighting, raceway, grounding, and communications. 
• Serve as Electrical Engineer of Record and responsible for producing permit and construction drawings. 
• Perform power system studies including short-circuit analysis, arc flash calculations, and protective device coordination using SKM or ETAP to ensure safe and code-compliant designs. 
• Perform cable ampacity calculations using AmpCalc or similar software to optimize cable size instead of using prescriptive tables from National Electrical Code (NEC). 
• Lead multi-discipline coordination with architectural, civil, structural, mechanical, fire & life safety, and other design teams to produce complete Issue for Construction (IFC) packages. 
• Review conceptual designs from manufacturing engineers and stakeholders to identify technical and financial risks. Prepare electrical specifications and conduct technical bid evaluations for designs produced by external design consultants. 
• Lead code analysis for NEC, IECC, and applicable NFPA standards across all project deliverables, and ensure designs meet all regulatory and compliance requirements. 
• Provide construction administration support including RFI responses, submittal reviews, change order management, and on-site inspections. Serve as the technical point of contact during construction and commissioning. 
• Prepare engineering cost estimates and project schedules, perform QA/QC reviews of electrical designs, and mentor junior engineers while contributing to internal design standards and best practices. 

Desired Qualifications: 

• Bachelor’s or Master’s degree in Electrical Engineering from ABET accredited program. 
• Licensed Professional Engineer in Nevada or eligible for reciprocity. Must get their PE in Nevada and South Carolina within 2 months of start date. 
• Minimum 10 years of experience in heavy commercial and industrial sectors, with evidence of exceptional ability. 
• Subject matter expertise in National Electrical Code (NEC), International Energy Conservation Code (IECC),  and relevant National Fire Protection Association (NFPA) standards with demonstrated ability to lead code analysis and apply requirements across complex, multi-discipline projects. 
• Advanced proficiency in Revit MEP, AutoCAD, Navisworks, Bluebeam, and SKM or ETAP for design production, clash detection, document review, and power system studies. 
• Advanced proficiency in AmpCalc or similar for cable ampacity calculations. Ability to perform photometric studies using lighting design software such as Visual or AGI and make decisions on optimal lighting levels for projects. 
• Strong analytical and problem-solving abilities, with the capacity to independently manage multiple concurrent projects, prioritize tasks effectively, and deliver high-quality engineering documents on schedule. 
• Ability to travel to project sites for construction administration, commissioning support, and field issue resolution, with flexibility to adjust availability based on project phase demands. 
• Excellent communication skills — verbal, written, and through drawings/sketches — with the ability to collaborate across disciplines and interface confidently at an executive level. 

Software Validation Engineer, Energy Storage 

The Redwood Vision: Architecting the Future of the Grid 

We are at the precipice of a global energy transition. At Redwood Materials, we are moving beyond battery recycling to build the most advanced, circular energy ecosystem on the planet. Our goal is to shift the industry from static, hardware-heavy infrastructure toward agile, software-defined energy assets. The Software Validation team ensures that these complex systems are safe, resilient, and ready for grid-scale deployment. 

As a Software Validation Engineer, you are the bridge between pure code and physical reality. You will design and maintain the environments—Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL)—that allow us to stress-test our power electronics and site controllers. Your mission is to build the automated frameworks that catch edge cases before they hit the field, ensuring every product we ship meets the highest standards of reliability. 

Key Responsibilities 

• Validation Environment Design: Architect and scale our SIL and HIL environments (using platforms like Typhoon HIL, Opal-RT, or similar) to provide high-fidelity simulations of battery assets and grid conditions
• Test Automation Frameworks: Lead the development of automated test suites in Python. You will transition our validation processes from manual intervention to a fully automated, scalable framework
• V&V Strategy: Define and execute comprehensive Verification and Validation (V&V) plans, ensuring all software requirements for the site controller and embedded power electronics are met under normal and fault conditions
• CI/CD Integration: Integrate automated HIL/SIL testing into our CI/CD pipelines, providing real-time feedback to the development teams and serving as the final gate for production-ready code
• Hardware-in-the-Loop Interfacing: Design custom interface hardware and wiring for HIL benches, bridging physical I/O from our controllers to simulated power stages
• Root Cause Analysis: Work closely with the firmware and systems teams to debug complex failures found during validation, using logic analyzers, oscilloscopes, and telemetry logs to pinpoint issues

Qualifications 

• Background: A BS or MS in Electrical Engineering, Computer Engineering, or a related field, combined with 2+ years of professional experience in software validation or test automation for hardware-focused systems
• HIL/SIL Mastery: Proven experience with real-time simulation platforms (Typhoon HIL, Opal-RT, or dSPACE) and a deep understanding of how to model power electronics components in a virtual environment
• Automation Toolchain: Expert proficiency in Python (specifically for test automation frameworks like Pytest) and familiarity with Rust and C/C++ to navigate embedded codebases
• Hardware Literacy: Comfortable in a high-voltage lab environment. You should be proficient with standard lab equipment (oscilloscopes, power supplies, electronic loads) and digital protocols like CAN, SPI, and Ethernet
• Systematic Thinking: A dedicated mindset for "breaking" software. You have a track record of finding critical edge cases in complex state machines and control loops
• Infrastructure: Experience with Git, Jenkins/GitHub Actions, and containerization tools like Docker for managing consistent test environments

As a principal engineer on the Online Systems team, you’ll join a team that powers Pinterest’s most business-critical online systems at massive scale, driving the reliability, efficiency, and evolution behind every core Pinner and Advertiser experience. You'll lead major efforts like multi-region deployment and Kubernetes migration, set the standard for operational excellence, and define the long-term vision for our online serving infrastructure, supporting machine learning and product innovation across the company. This is an opportunity for high-impact technical leadership, broad visibility, and cross-functional influence at the heart of Pinterest’s platform.

What you’ll do: 

• Improve reliability, scalability and infra efficiency for Pinterest’s critical online systems across storage and caching, online service and realtime analytics systems to support continued business growth.
• Lead cross-functional strategic initiatives to modernize Pinterest’s online serving stack through multi-region deployment, Kubernetes migration, and the adoption of cutting-edge technologies and industry best practices.
• Quality champion for online systems and the broad engineering organization, holding a high bar on execution quality and operational excellence.
• Drive the online systems vision and strategy for the next 3 years and beyond, and translate that strategy into cross-functional roadmaps with measurable outcomes.
• Foster a diverse and inclusive engineering culture that makes all feel welcome, and invest in mentorship, critical thinking, and candid feedback to strengthen individual and organizational growth.
  
  

What we’re looking for:

• 12+ years of software engineering experience with deep expertise in distributed systems, especially online serving, storage, and caching systems: hands-on experience building and operating highly available, reliable, production-grade systems at large scale; strong technical judgment in reliability, scalability, performance, and infrastructure efficiency; proficiency in at least one of C++, Java, or Python.
• Proven track record driving large-scale technical impact: experience leading reliability and scalability improvements, cost efficiency initiatives, and modernization efforts across critical production systems; able to define technical strategy, influence architecture decisions, and drive execution through cross-functional collaboration, strong communication, and operational excellence.
• Strong ownership, quality mindset, and thoughtful use of AI: demonstrates high standards for engineering quality, integrity, and accountability for final outcomes; able to use AI to accelerate analysis, debugging, design exploration, or operational workflows while applying critical thinking, validating correctness, and maintaining sound technical judgment rather than outsourcing ownership to tools.
• Exceptional collaboration skills with cross-functional partners, with the ability to navigate ambiguity, make tradeoffs, and keep stakeholders aligned on priorities and progress.
• Bachelor’s degree in Computer Science, a related technical field, or equivalent experience.
  
  

Relocation Statement: 

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement: 

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times per quarter and therefore needs to be in a commutable distance from one of the following offices: PA or SF offices.

#LI-HYBRID

#LI-CL5

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

Your Role

Ascend is hiring a Solutions Engineer (Contract) to take full ownership of critical AI agentic workflows. You’ll shape how automation powers the insurance industry—improving accuracy, scalability, and customer experience at every step.

You’ll dive deep into complex data problems, fine-tune prompts, and refine systems that power the automation layer behind Ascend’s financial infrastructure. This role is a mix of hands-on problem-solving, experimentation, and collaboration with Product, Operations, and Engineering teams to make our automation more reliable and intelligent.

This is a contract role based on-site at our San Francisco office, 40 hours per week for six months.

Responsibilities

Own and optimize prompt logic

• Build, test, and refine prompts that power AI agents using prompt engineering and analytical problem-solving.
• Design systems that enable scalable, high-accuracy iteration on prompt workflows.

Technical implementation & tooling

• Partner with internal teams to improve testing, monitoring, and refinement processes.
• Support new customer and organization onboarding through internal tooling improvements.
• Provide feedback and insights to shape the broader product roadmap.

Customer & stakeholder collaboration

• Work closely with internal and external users to gather context, troubleshoot challenges, and deliver consistent, high-quality results.

Quality assurance & reporting

• Track and analyze AI workflow accuracy metrics, uncovering trends and root causes.
• Recommend process improvements to reduce manual work over time.
• Build reusable playbooks and prompt strategies to support future automation efforts.

Why This Role Matters

This is a chance to own a critical piece of Ascend’s AI-powered automation systems and see your work directly impact product performance, customer satisfaction, and company growth.

You’ll thrive here if you love solving tough technical problems, moving quickly, and building systems that scale intelligently. This role is perfect for someone who operates at the intersection of data, engineering, and product thinking—and takes pride in turning complexity into clarity.

What We’re Looking For

• Exceptional analytical and critical thinking skills, with a track record of breaking down complex problems into actionable solutions.
• Experience with prompt engineering, AI agents, or AI-powered automation workflows.
• Proven ability to work with complex, real-world systems to identify patterns and improve reliability.
• Strong communication skills, with the ability to translate technical concepts for both technical and non-technical audiences.
• Bonus: Familiarity with large language models (LLMs) and their applications in automation or data systems.

Contract Details

• Location: On-site in San Francisco (SoMa)
• Schedule: Full-time, 40 hours per week
• Type: Contract to hire as a full time software engineer (6 months)

About the Role

Together AI is building high-performance inference compute and the software platform around it. We’re looking for an early-career Data Warehouse Engineer with strong fundamentals and high growth potential to grow into a technical lead over time. You’ll contribute to designing and operating our data warehouse, ETL pipelines and orchestration, work on core data models and metrics, and help raise the bar on data quality and governance across the org — with mentorship and support from experienced engineers.

Requirements

• 0–4 years of professional experience (or strong internships/projects) working with data warehouses, pipelines, or analytics engineering.
• Solid SQL fundamentals — you’re comfortable writing queries and have some exposure to window functions or dimensional modeling concepts.
• Some hands-on experience with dbt or Airflow, or strong eagerness to learn — coursework and personal projects count.
• Basic Python for scripting and data tooling; any exposure to Spark (PySpark/SQL) is a plus.
• Familiarity with data modeling concepts like SCD2 or star schemas — even if only from coursework.
• Good communication skills: you can ask clarifying questions, explain your reasoning, and work with stakeholders to understand their needs.
• High standards for data quality, reliability, and maintainability — you care about getting things right.

Responsibilities

• Contribute to building and maintaining a medallion/curated data warehouse stack (bronze/silver/gold) for product, usage, billing, and operational data.
• Build and maintain Airflow orchestrated pipelines and dbt transformation projects (modular, tested, documented).
• Help design analytics-ready models: SCD Type 2, star schemas, and appropriate normalization for upstream canonical layers.
• Learn and apply Master Data Management (MDM) patterns (golden records, reference data, deduping, identity resolution).
• Implement data quality checks (freshness, nulls, referential integrity, distribution drift, anomaly detection).
• Contribute to data governance habits: data stewardship, ownership, SLAs, and clear definitions for “source of truth.”
• Help build and maintain a business semantic layer (consistent metric definitions, dimensions, and reusable logic) used by notebooks/BI.
• Partner with stakeholders (Product, Engineering, Finance, GTM, Ops) to translate questions into durable datasets and metrics.
• Use SQL, Python, and Spark where scale demands it; optimize for correctness, performance, and cost.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $130,000 - $170,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

About the Role

Together AI is building high-performance inference compute and the software platform around it. We’re looking for an early-career Data Warehouse Engineer with strong fundamentals and high growth potential to grow into a technical lead over time. You’ll contribute to designing and operating our data warehouse, ETL pipelines and orchestration, work on core data models and metrics, and help raise the bar on data quality and governance across the org — with mentorship and support from experienced engineers.

Requirements

• 0–4 years of professional experience (or strong internships/projects) working with data warehouses, pipelines, or analytics engineering.
• Solid SQL fundamentals — you’re comfortable writing queries and have some exposure to window functions or dimensional modeling concepts.
• Some hands-on experience with dbt or Airflow, or strong eagerness to learn — coursework and personal projects count.
• Basic Python for scripting and data tooling; any exposure to Spark (PySpark/SQL) is a plus.
• Familiarity with data modeling concepts like SCD2 or star schemas — even if only from coursework.
• Good communication skills: you can ask clarifying questions, explain your reasoning, and work with stakeholders to understand their needs.
• High standards for data quality, reliability, and maintainability — you care about getting things right.

Responsibilities

• Contribute to building and maintaining a medallion/curated data warehouse stack (bronze/silver/gold) for product, usage, billing, and operational data.
• Build and maintain Airflow orchestrated pipelines and dbt transformation projects (modular, tested, documented).
• Help design analytics-ready models: SCD Type 2, star schemas, and appropriate normalization for upstream canonical layers.
• Learn and apply Master Data Management (MDM) patterns (golden records, reference data, deduping, identity resolution).
• Implement data quality checks (freshness, nulls, referential integrity, distribution drift, anomaly detection).
• Contribute to data governance habits: data stewardship, ownership, SLAs, and clear definitions for “source of truth.”
• Help build and maintain a business semantic layer (consistent metric definitions, dimensions, and reusable logic) used by notebooks/BI.
• Partner with stakeholders (Product, Engineering, Finance, GTM, Ops) to translate questions into durable datasets and metrics.
• Use SQL, Python, and Spark where scale demands it; optimize for correctness, performance, and cost.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $130,000 - $170,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

About the Role

You’ll join the Data Platform team, responsible for building the backend services and “data products” that power how data moves through the company. We create the core platform primitives — high-quality event streams, reliable access layers, and developer-friendly APIs/tools — so teams across the org can self-serve what they need and ship faster. You’ll contribute to backend services that create value from our company data, and help make our data platform more self-serve so product and engineering teams can easily create and operate event-driven architectures, publish/consume streams, define access models, and ship data products end-to-end. You’ll also work on LLM-adjacent services such as prompt categorization/taxonomy, enrichment, and metadata systems that turn raw telemetry into trusted, usable products — with mentorship and support from experienced engineers.

Responsibilities

• Contribute to backend services that enhance the data platform’s capabilities (APIs, control planes, automation, governance).
• Help enable DIY workflows for teams across the company:

• • Define/publish events and schemas
  • Create/consume streams and subscriptions
  • Establish access models (authz, row/field-level controls where applicable)
  • Manage dataset/catalog metadata, lineage, versioning, and retention

• Contribute to end-to-end data products: ingestion → validation/quality → enrichment → serving (APIs/streams) → observability → adoption.
• Work on prompt categorization and enrichment services: taxonomy design, labeling workflows, classifier/rules integration, evaluation, drift/quality monitoring, and safe rollouts.
• Learn to own reliability: SLOs, alerting, performance/cost tuning, incident response, and postmortems.
• Partner cross-functionally with ML/LLM, infra, security, and product teams to define crisp contracts and deliver durable platform primitives.

Requirements

• 0–4 years building production or project-based backend systems (internships, coursework, and personal projects count).
• Solid fundamentals in at least one backend language (e.g., Go, Python, Java, Rust) and some exposure to API design (REST).
• Eagerness to own work end-to-end: design docs, implementation, testing, deployment, and iteration based on real usage.
• Strong engineering fundamentals: clean, maintainable code, thoughtful abstractions, and a desire to build systems that are easy to evolve.
• Basic data modeling and SQL skills, and some familiarity with at least one of:

• • Streaming/eventing (Kafka/PubSub/Kinesis, etc.)
  • Workflow/compute (Airflow/Spark/Flink/Trino, etc.)
  • OLTP/OLAP stores and data lakes (Postgres + warehouse/lake tech)

• AI augmentation curiosity:

• • You’re curious about how engineers use AI/LLMs to build software faster and better (e.g., coding copilots, agentic workflows, retrieval/knowledge grounding), and you’re eager to apply this to your own work.
  • You understand that AI tools can fail or create issues, and you’re thoughtful about when and how to apply them.

Nice to have

• Any exposure to self-serve platforms, developer tooling, or multi-tenant services.
• Coursework or projects involving LLM/AI products: prompt/response telemetry, eval datasets, embeddings/RAG metadata, model/tool traces, privacy-safe logging.
• Passion for good quality code, highly readable, SOLID principles, design patterns, Domain Driven Design.
• Awareness of security and governance basics: least-privilege access, auditability, data retention, PII handling.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $120,000 - $170,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

About the team 

The Capacity & Efficiency team sits inside Anthropic’s Compute organization and owns the cost, utilization, and attribution story for non-accelerator infrastructure — the network, compute, and storage backbone that moves petabytes between training clusters, inference fleets, and object storage across clouds and regions. The scale is real, the spend is large, and the efficiency levers are still mostly unpulled.

We work alongside the Systems Networking team (who build and operate the fabric) and the Observability team (who own the telemetry platform). This role lives at the intersection: you’ll use deep networking knowledge and rigorous measurement to figure out where and how bandwidth, latency, and dollars are being used, find optimization opportunities and land them.

About the role

We’re looking for a network engineer who thinks in metrics first. You understand spine-leaf fabrics, BGP, SDN overlays, and cloud interconnect products well enough to build them. You will instrument them, model their cost-per-bit, and squeeze out the inefficiency, while ensuring we can move the bits to the right places in the most efficient manner. You’ll own the observability and efficiency surface for Anthropic’s network: from per-flow telemetry on backbone routers, to cost attribution that tells a research team exactly what their checkpoint sync is costing.

This is a hands-on IC role. You’ll write code (Python, Go), build dashboards and model capacity. You’ll also influence architecture: when the data says a traffic pattern is pathological, you’ll be in the room root causing it and fixing it. 

You will be working across three areas: network telemetry, observability and cost modeling and attribution. We expect you to be strong in at least two and willing to grow into the third. If you're a telemetry-first engineer who's never built a chargeback model, or a traffic engineer who hasn't shipped eBPF probes, apply anyway and tell us which axis you want to grow on.

What you’ll do

• Build the network observability stack. Design and deploy telemetry pipelines — sFlow/IPFIX, gNMI streaming, eBPF host probes — that turn packet counters into per-flow, per-tenant, per-workload cost and utilization data. Own the SLIs for backbone and DCN fabric health.

• Hunt for efficiency. Analyze inter-region traffic patterns, identify hot links and stranded capacity, and quantify the dollar impact. Build the models that tell us whether we should buy more capacity, or move the workload.

• Own QoS and traffic engineering. Design and operate traffic classification, marking, and shaping across the backbone. Make sure bulk checkpoint transfers don’t starve latency-sensitive inference, and that we’re not paying premium cross-region rates for traffic that could take the cheap path.

• Drive cost attribution. Tie network spend — egress, interconnect ports, transit, optical leases — back to the teams and workloads that generate it. Make network cost a first-class input to capacity planning and workload placement decisions.

• Influence decisions you don't own. A large fraction of this role is convincing other teams to act on what your data shows: making the case to research that a traffic pattern needs to change, to finance that an interconnect tranche is worth buying, to Systems Networking that a QoS policy needs rewriting. You'll partner closely with Systems Networking on fabric architecture and Observability on telemetry platform integration, but the cost and efficiency wins will come from moving teams that don't report to you.

• Automate. Extend our intent-based network configuration systems and write the tooling that turns your efficiency findings into safe, reviewable, and impactful changes.

You may be a good fit if you

• Have 5+ years operating large-scale production networks — data center fabrics (spine-leaf, Clos), backbone/WAN, or hyperscaler-adjacent environments. 

• Are genuinely fluent across the stack: BGP (including policy and communities), ECMP, VXLAN/EVPN or equivalent overlays, QoS (DSCP, queuing, shaping), and L1/optical basics (DWDM, coherent, LAGs).

• Know at least one major CSP’s networking model deeply — AWS (VPC, TGW, Direct Connect, Gateway Load Balancer) or GCP (Shared VPC, Interconnect, Cloud Router, Network Connectivity Center) — and understand how their overlays interact with physical underlays.

• Have built or operated network telemetry at scale: streaming telemetry (gNMI/OpenConfig), flow export (sFlow, IPFIX, NetFlow), or eBPF-based host-side instrumentation. You can reason about sampling, cardinality, and storage tradeoffs.

• Comfortable writing Python or Go to build tooling, telemetry pipelines, infrastructure-as-code, config management for network devices and automation, that you’ll ship to production.

• Think quantitatively by default. You reach for a notebook or a Grafana query before you reach for an opinion, and you can turn messy counter data into a defensible cost model.

• Communicate crisply. You can explain to a finance partner why a 10% egress reduction matters, and to a network engineer why a specific ECMP imbalance is costing real money.

Strong candidates may also have

• SRE experience for large-scale network infrastructure — designing for reliability, defining SLOs/SLIs for network services, capacity planning with error budgets, and incident response for network-impacting outages at scale.

• Background on a cloud provider's networking team or a cloud networking product team — building or operating the interconnect, backbone, or SDN control plane from the provider side, not just consuming it as a customer.

• Familiarity with AI/ML infrastructure traffic patterns like collective communication (all-reduce, all-gather), checkpoint/weight transfer, inference serving, and how these stress networks differ than traditional workloads in terms of burst behavior, flow synchronization, and bandwidth symmetry.

• Experience with HPC fabrics like InfiniBand, RoCE v2, lossless Ethernet, or custom high-radix topologies and an understanding of how job placement, congestion management, and adaptive routing interact at scale.

• Background in traffic engineering for large backbones and the operational judgment to know when TE is worth the complexity.

• Hands-on time with multi-cloud connectivity: cross-cloud peering, private interconnect products, and the billing models that come with them.

• Experience building cost/chargeback systems for shared infrastructure, or FinOps exposure in a large cloud environment.

Representative projects

• Build a per-flow cost attribution pipeline that traces every byte of cross-region egress back to the team and workload that generated it

• Design QoS policy for the private backbone that prevents bulk checkpoint transfers from starving inference traffic

• Model whether it's cheaper to buy an additional 1.6Tb interconnect tranche or to re-route traffic through existing capacity

• Instrument DCN fabric utilization with streaming telemetry and build the Grafana dashboards that become the team's source of truth for network observability 

Why this role, why now

Anthropic’s network footprint is growing faster than our ability to reason about it. We’re turning up tens of terabits of private backbone capacity, peering across clouds, and moving model weights that keep getting larger. The efficiency opportunities are enormous and largely untouched — this is a chance to build the measurement and optimization layer from the ground up, with real budget impact and direct influence on how Anthropic’s infrastructure scales.

#TeamNextdoor

Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com.

Meet Your Future Neighbors

As an iOS Software Engineer at Nextdoor, you’ll join a focused team of Developers, Product Managers, and Designers who are passionate about using technology to cultivate a kinder world where everyone has a neighbor they can rely on. We are a small team of mobile engineers that work on app infrastructure and features to deliver our values to our members. We care about moving fast and delivering impact, without compromising on quality and reliability.

At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. 

The Impact You’ll Make

We believe in empowering our teams to own all aspects of bringing Nextdoor to life. As such, you’ll get the opportunity to make key contributions across our iOS stack - this includes developing and improving our networking, analytics, experiments, and modular app structure, in addition to making direct contributions to your team’s product area.

Beyond day-to-day technical work, you’ll also get the chance to collaborate with product managers and designers to drive Nextdoor forward. We believe engineers should have a stake over all aspects of the product - from coming up with the next big ideas to build, through helping set expectations and plan roadmaps, all the way through understanding the impact of new features through rigorous data analysis. As your career at Nextdoor develops, you’ll also get the chance to mentor other team members and grow your role towards what you’re most passionate about.

• Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises
• Build in-person relationships with team members and contribute to Nextdoor’s company culture

What You’ll Bring to The Team

• 3+ Years of experience in a mobile development role with a proven track record shipping and owning non-trivial iOS features in production. 
• Expertise in Swift and Xcode IDE including the build system
• Robust knowledge of iOS development ecosystem, including core system libraries
• Proven experience building complex, high-quality iOS applications, and strong knowledge of iOS app design principles, architectural patterns, testing, and best practices
• Ability to communicate technical tradeoffs clearly in writing (design docs, PR reviews, etc.) and verbally (cross-functional syncs)
• Strong motivation to continuously learn and share knowledge about new technologies and systems.
• Demonstrated ability to thrive in a fast-paced environment, prioritizing high-impact work and adapting strategies in real time.
• Thoughtful use of AI tooling in day-to-day engineering - knows when it helps and when it gets in the way.

Bonus Points

• Experience writing automated tests for iOS applications
• Experience with accessibility features on iOS

Rewards

Compensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications. Compensation may also vary by geography.

The starting salary for this role is expected to range from $142,000 - $250,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role.

We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date.

When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care.

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.

For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here.

Staff High Voltage Electrical Engineer, EPC

Redwood Materials is seeking a Staff High Voltage Electrical Engineer to join our EPC team. This role is central to the design of high voltage electrical infrastructure to support our mission. Our mission is to build a sustainable circular economy for lithium-ion batteries by transforming recycled materials into high-quality inputs for new batteries. 

Responsibilities will include: 

• Lead the design of high voltage AC electrical systems, specifically for industrial substations (69kV to 345kV) and their integration with upstream transmission lines and downstream MV distribution
• Review and evaluate the design of existing substations to provide recommendations for improving reliability and stability
• Develop single-line diagrams, physical layout and design, protection and control systems, relay design and coordination, and grounding plans for substations
• Perform grid simulation and stability studies using industry standard tools such as PSSE, PSLF, PSCAD, ASPEN OneLiner and similar software
• Interface with utilities and ISO/RTOs to support interconnection studies, permitting, and compliance for new renewable and BESS projects 
• Perform short circuit, load flow, and arc flash studies
• Develop relay settings using SEL AcSELerator or equivalent software
• Evaluate and select high voltage equipment including switchgear, circuit breakers, transformers, reactors, PTs, CTs, and protection relays
• Serve as Electrical Engineer of Record for assigned projects
• Lead code compliance reviews (NEC, IEEE, NESC, NFPA) and provide technical guidance to internal teams
• Collaborate with civil and structural engineers on substation layout, foundations, and site development
• Support facilities, construction and commissioning teams with field engineering, testing, and troubleshooting
• Review vendor submittals, RFIs, and shop drawings for technical accuracy
• Participate in technical bid evaluations and identify scope gaps
• Lead R&D efforts to perform feasibility analysis of using medium voltage DC distribution system for integrating BESS with other sources
• Independently manage high voltage design packages from concept through commissioning
• Coordinate with internal stakeholders and external consultants to align scope, schedule, and budget
• Prepare engineering cost estimates and execution schedules in collaboration with project controls
• Lead technical reviews and design optimization workshops
• Mentor junior engineers and contribute to team development
• Develop workflows, templates, and standards for high voltage design and simulation
• Support strategic initiatives related to grid integration, renewable energy, and energy storage

Desired Qualifications: 

• Bachelor’s or Master’s degree in Electrical Engineering from ABET accredited program
• Licensed Professional Engineer in Nevada or eligible for reciprocity. Must get their PE in Nevada and South Carolina within 2 months of start date
• Minimum 10 years of experience in high voltage electrical design, preferably in EPC environments
• Advanced proficiency in: 
• Transmission-level load flow and stability using PSSE and PSLF 
• Electromagnetic Transient Simulations using PSCAD, EMTC or similar 
• SEL Relay Settings using SEL AcSELerator or equivalent 
• Relay coordination and fault studies using ASPEN OneLiner or similar 
• Power system modeling using ETAP, SKM, or similar 
• AutoCAD, Navisworks, Bluebeam, Microsoft Office 
• Preferred proficiency in: 
• Design of HVDC systems and converter station 
• Strong understanding of protection and control systems, SCADA, and substation automation
• Highly motivated, proactive, and detail oriented
• Ability to communicate effectively through verbal, written, and visual formats
• Field experience in construction and commissioning of high voltage systems is highly preferred
• A passion for sustainability and making the world a better place!

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Before Stripe, every growing internet platform had a payments team. Today, every growing internet platform has an Identity team. Identity verification has become core economic infrastructure for online businesses — enabling them to digitally verify their users' identities for fraud prevention, regulatory compliance, and trust and safety purposes.

At Stripe, we're building something more ambitious than a verification product. Our vision is to build the world's most trusted store of verified identities — a single, global, reusable, risk-scored representation of every individual who interacts with Stripe and beyond. This Identity Store becomes a platform with compounding network effects: more verifications enrich the store; a richer store produces better fraud signals; better signals mean lower friction for trusted users; lower friction drives more adoption.

Our product today serves millions of verifications per month for customers like OpenAI, Shopify, and WhatNot, and powers identity verification across multiple internal Stripe products including Fraud, Link, Connect, and Crypto. The problems ahead — adversarial AI and deepfake defense, networked identity infrastructure, progressive verification platforms, and low friction KYC APIs — sit at the frontier of what's possible in identity engineering.

What you’ll do

As a Staff Engineer on the Identity team, you will own the technical direction of one of Stripe's most strategically important product areas. This is not a role defined by task execution — it's a role defined by technical judgment, architectural influence, and the ability to turn an ambitious vision into a reliable, scalable system.

Responsibilities

• Own technical strategy — Define the architecture for Identity's core systems (Identity Store, headless verification platform, fraud detection infrastructure), make build-vs-buy-vs-partner decisions, and surface technical risks before they become customer-facing failures
• Lead 0-1 platform development — Architect net-new systems including the Identity Store, Networked Identity platform, and advanced fraud detection pipeline (behavioral biometrics, deepfake discriminators, adversarial training). Drive the evolution from a hosted-UI product to a headless-API and embedded-components platform
• Drive cross-functional alignment — Be the primary technical voice in roadmap and resourcing discussions. Partner with ML, product, legal, and engineering leads across Risk, Fraud, Link, Connect, and Crypto to ensure Identity's abstractions serve the full breadth of Stripe's product surface
• Raise the technical bar — Set engineering standards across ML, backend, mobile, and front-end; lead design reviews; and mentor senior engineers on the judgment needed to operate a high-stakes, externally-facing product
• Operate with ownership — Be accountable for reliability, scalability, and security of the systems you design — including the observability and alerting that catch model drift and fraud pattern shifts before customers do

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership role.
• Experience leading engineering team(s) working on API design, abstractions, frameworks, or client libraries (e.g. building internal or external developer products). 
• Proven track record of delivering pragmatic solutions that accelerate business growth 
• Ability to adjust conversations from high-level discussions to detailed coding 
• Thrives on a high level of autonomy and responsibility 
• Clear and persuasive writing and in-person communication 
• Strong problem-solving skills, critical thinking, determination, and a growth mindset 
• Ability to work effectively with a diverse group of people, genuinely caring for each other and contributing to high level of psychological safety for all team members and partner
• Has experience in a range of software languages and frameworks. Examples of what we work with include:
• Languages: primarily Ruby and Typescript, but also Python, Scala, Java, Go, and SQL (Spark and Trino dialects)
• Frameworks: React, GraphQL Kafka, Protobuf, Airflow, Bazel, Temporal, 
• Others: Mongo, Splunk, Prometheus

Preferred qualifications

• Experience with identity verification, fraud detection, or trust and safety systems — especially systems with adversarial inputs at scale
• Familiarity with ML systems in production: model serving, training pipelines, observability, drift detection, and the feedback loops that keep models accurate under adversarial conditions
• Experience building platform products with multiple consumer types — internal platform teams and external developers — where API backward compatibility and abstraction quality are first-class concerns
• Prior experience with 0-1 product builds: you've started with a blank page and ended with a production system, and you have clear opinions about what makes that process go well or poorly
• Exposure to the technical stack we work with: primarily Ruby and TypeScript on the backend and web, Python for ML and data pipelines, with infrastructure spanning Kafka, Temporal, Protobuf, React, and distributed data stores
• Experience navigating ambiguity in a fast-moving organization — you can make confident technical decisions with incomplete information and update gracefully when new constraints emerge

Why Stripe Identity

• The market is at an inflection point. The global identity verification market is growing at ~15% CAGR, from $12.5B in 2024 to $21.8B by 2028. Competitors have more features today — but none of them have Stripe's moat: payments signals, fraud network, consumer graph, and KYC data spanning the full financial ecosystem. We're building to win the next decade, not the last one.
• The problems are genuinely hard. Adversarial ML against deepfakes and face swaps. Distributed identity graph architecture with real-time freshness requirements. Progressive verification APIs that minimize friction without sacrificing fraud detection accuracy. These are unsolved problems — not just at Stripe, but in the industry.
• You'll work on systems that matter immediately. The verifications we run protect real users from real fraud. When our recall improves by 10 points, that's millions of dollars in prevented fraud losses for customers who rely on us. When our mobile SDK completion rate rises, thousands more legitimate users successfully onboard each month.
• The team is small enough that your judgment shapes the architecture. This isn't a role where you inherit decisions made five years ago. It's a role where the decisions you make in 2026 are the ones the team will build on through 2029.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

AI is moving fast and Stripe is moving fast to adopt it. But we need to make sure we do all of this safely, and for most of these tools enterprise-grade security isn't just available off the shelf. That's where the AI security team comes in - we are responsible for building and partnering to create the right security primitives to enable Stripe to move fast safely.

This is a team that will be working in the low level components of our AI stack so both infrastructure and security experience are pluses. This space is moving fast so being comfortable with ambiguity and changes in priority are a must.

This is a foundational role — you'd be the first engineer on the team.

What you’ll do

Engineers on this team will do a mixture of partnering and advising with teams building AI infrastructure and products, and building security infrastructure primitives for AI. 

One of our major focuses will be building a security tooling layer that sits in the inference path, providing detection and protection against AI specific threats like prompt injection, jailbreaks, and tool misuse.

Responsibilities

• Build security frameworks integrated with our core AI infrastructure
• Design and implement defenses against AI specific threats like prompt injection and jailbreaks
• Collaborate with other engineering teams to ensure Stripe's AI infrastructure and products are built securely
• Support other engineering teams in integrating security primitives
• Uphold our high engineering standards and improve our codebase and processes
• Design and build systems that help define the state of the art for AI security

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 5+ years of software development experience
• Experience independently designing and developing medium to large projects
• Experience working collaboratively across multiple engineering teams
• Experience writing high quality code in a major programming language
• Ability to drive clear next steps when working in an ambiguous environment
• Ability to think creatively and reason clearly in a complex problem domain

Preferred qualifications

• Experience developing, deploying, and maintaining reliable infrastructure systems
• Experience in security engineering
• Experience building AI agents or LLM-based systems

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Stripe Assistant team is transforming how users interact with Stripe by building an intelligent and proactive assistant that not only answers users’ queries but efficiently resolves issues and provides valuable business insights. We leverage LLMs and agentic systems to elevate the user experience across Stripe—from the dashboard to support surfaces—and we enable other teams to build and integrate their AI agents on our platform. We’re evolving from a helpful support tool to a trusted pilot that anticipates, optimizes, and executes on behalf of our users.

What you’ll do

As a Senior Machine Learning Engineer on the Stripe Assistant team, you’ll own the end-to-end ML and agent architecture that makes Stripe Assistant safe, reliable, and deeply useful. You’ll set the strategy for how the Assistant executes high-trust actions, delivers accurate analytical answers across Stripe and the broader web, orchestrates capabilities across many tools and agents, and grounds responses in authoritative Stripe and user data—so users can resolve issues quickly and confidently.

You’ll drive conversation continuity and personalization across surfaces, evolve the Assistant into a proactive partner that anticipates user needs, and deepen its presence in the dashboard to streamline critical workflows. You’ll establish rigorous evaluation and SLOs and deliver step‑change improvements in quality, latency, cost, and availability—paving the way for configurable levels of autonomy and, ultimately, a dependable operating layer over a merchant’s Stripe account.

Responsibilities

Our team operates fluidly and here are some problems you may tackle:

• Establish trustworthy, human-in-the-loop execution for high-trust “write” actions—prioritizing user control, transparency, accountability, and auditability so customers can delegate with confidence.
• Define and evolve the Assistant’s capability and governance model across hundreds of tools and agents, balancing power, permissions, and consistency at scale.
• Raise answer quality and usefulness by grounding in authoritative Stripe knowledge and live user data, building cross-surface memory and personalization, and making the Assistant proactive and present in the dashboard.
• Explore and apply optimal machine learning methods to improve Stripe Assistant’s overall performance, including but not limited to fine-tuning LLMs with RLHF, synthetic data generation, optimizing RAG pipelines via domain‑specific embedding and retriever fine‑tuning, and automatic prompt tuning, etc.
• Make quality and reliability a product: set and meet SLOs, build rigorous evaluation and benchmarking loops, and drive sustained improvements in latency, cost, and availability.
• Lead as a tech lead: mentor and grow engineers, uphold high bars for code quality, security, observability, and operational rigor, and align cross‑functionally to ship safely and fast.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 5+ years in AI/ML and backend engineering.
• Applied LLM experience: RAG/embeddings, tool use/function calling, agentic planning/orchestration, fine-tuning, code generation, evaluations, etc.
• Proficient in Python (Ruby is a plus); strong distributed systems fundamentals.
• Experience working closely with product management, design, other engineers, and other cross-functional partners.

Preferred qualifications

• Experience operating ML systems at global scale with stringent SLOs—balancing reliability, latency, and cost—with privacy, security, and compliance by design.
• Experience building products where AI/ML is core; as well as balancing short-term product priorities with long-term AI/ML improvements.
• Track record building ML platforms, especially those that enable multiple teams to collaborate together.
• Strong technical leadership and communication: mentoring and elevating engineers, elevating AI/ML awareness and posture within organizations, setting architectural direction, and driving alignment in ambiguity.

Join us to build a trustworthy, proactive AI operating layer for every Stripe merchant—advancing safety, reliability, and insight at global scale. If you’re ready to help take Stripe Assistant from copilot to full autopilot and shape how businesses connect with Stripe, we’d love to hear from you.

The Team

Our engineering team builds systems that interact with some of the most complex software  ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more. 

We are looking for a client-obsessed AI Solutions Engineer with entrepreneurial tendencies to join the good fight and help build out our Solutions Engineering org. You’ll be the trusted technical advisors for our customers, driving business value, offering advice, and growing accounts. You’ll accomplish this by leading customers to solutions oftentimes by teaching the product to new users or consulting on best practices. You must be ready for technical discussions with data scientists and engineers, then demonstrate the value of Arize in business discussions with directors and executives. The goal is to enable our customers to become successful and enthusiastic about Arize. While we are a remote-first company, the nature of this role requires candidates to be based in the San Francisco Bay area/PST time zone.

What You’ll Do

• Work closely with some of the most sophisticated ML / GenAI teams in the world.
  • You will act as a trusted advisor to our customers, while also building relationships with technical and business stakeholders.
• Advise on GenAI and ML best practices 
• Give ML and LLM product demos to technical and business stakeholders
• Run strategic business reviews for customers in partnership with our sales team
• Interface with our pre-sales engineering team to gather client goals and KPI’s.
• Partner with our product and engineering teams to help drive the product roadmap
• Spearhead new opportunities within existing accounts to help drive expansions.

What We’re Looking For

Note: Even if you do not check every single box, we still encourage you to apply! 

• Previous experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models or GenAI applications in production.
• Comfortable working in public Cloud environments (AWS, Azure, GCP)
• Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn
• Knowledge of LLM / Agentic frameworks such as Llamaindex, LangGraph, and DSPy
• Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations
• Understanding of GenAI concepts and application evaluation + development lifecycle  
• Proficiency in a programming language (Python, JS/TS, Java, Go, etc)
• Strong Communication Skills - Ability to simplify complex, technical concepts.
• A quick and self learner - undaunted by technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV.

Bonus Points, But Not Required

• Previous engineering experience in:
  • Data Science
  • MLOps
  • ML Frameworks
  • LLM / Agentic frameworks
• Customer facing experience strongly preferred such as Solutions Architect, Implementation Specialist, Sales Engineer, Customer Success Engineer, Consultant, or Professional Service roles
• Prior experience working with applications deployed with Kubernetes
• Prior experience demoing technical products to both business and technical audiences

The estimated annual salary and variable compensation for this role is between $125,000 - $175,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.

The mission of our Solution Engineering team at Gong is to serve as trusted partners, advising on complex workflows and guiding customers toward an AI-first approach to their go-to-market strategy, ultimately helping them achieve their desired business outcomes.

As a Lead Solution Engineer on the team, you will be instrumental in creating raving fans among our prospects and customers. Your focus will be on helping them understand how our platform can drive their strategic business initiatives across the organization. 

RESPONSIBILITIES

• Work alongside Sales and Customer Success as the ultimate product expert and account team technical advisor.
• Thoroughly understand all aspects of the Gong platform in order to explain and demo the technology to all types of users.
• Be the trusted advisor to both prospects and customers to ensure they get the correct business outcome and value from our Gong technology, including business value quantification.
• Assist prospects and customers with business assessments (POCs, Pilots).
• Craft content to show customers how to leverage Gong for specific use cases.
• Execute the build and delivery of outcome-based demos and solution architecture diagrams for customers that have highly complex use cases.
• Solution complex business and technical requirements and explain them in simple terms.
• Assist with RFPs and questionnaires in the context of sales cycles.
• Help eliminate bottlenecks by working cross-functionally (Sales, Customer Success, Support, Product Management, Engineering) in order to get deals across the line.
• Partner with and support Marketing on demand gen activities (webinars, conferences, events).
• Contribute reusable assets to the Sales Engineering team and the company at-large.
• Collaborate closely with Product Marketing, Product Management, and Engineering to share voice of the customer feedback in order to influence our product roadmap and GTM strategies.

QUALIFICATIONS 

• 8+ years of customer facing experience in a solution engineering role (pre-sales) or a combination of solution engineering and other relevant work experience.
• Experience with sales technology: CRMs, cloud architecture, or telephony / web conference systems.
• Experience with data flows, AI & ML concepts, analytics, APIs, webhooks, or JSON is a plus.
• Understanding of security and privacy pertaining to SaaS systems.
• Understanding of key sales personas and workflows (including forecasting and prospecting) within a GTM organization.
• Excellent verbal and written communication skills.
• Strong interpersonal and teamwork skills.
• Able to make the complex sound simple!

PERKS & BENEFITS 

• We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
• 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.
• Flexible vacation time to promote a healthy work-life blend.
• Paid parental leave to support you and your family.
• Company-wide recharge days each quarter.
• Work from home stipend to help you succeed in a remote environment.

The target OTE for these positions is $205,000-$220,000.

Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets. 

We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.

Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.

To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.

About this role

As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the technical bridge between data science and production engineering.  You’ll be joining a small but deeply critical team that scales Faire’s ability to support tens of thousands of local businesses in a constantly narrowing retail landscape.

What You Will Do

• Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows
• Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows
• Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most critical models
• Implement Unity Catalog for data governance, lineage, access control, and secure multi-tenant usage
• Build CI/CD pipelines for ML using Terraform and Git-based workflows (e.g., GitHub Actions)
• Optimize performance, reliability, and cost across training and inference workloads
• Configure Identity and Access Management (IAM) and Role Based Authentication Controls (RBAC) for sensitive data sets
• Establish observability for data quality, model performance, and platform health
• Build and maintain ML Platform technical documentation

What it takes

• 8+ years of experience building production ML or data platforms
• A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
• Strong hands-on expertise with Databricks, Spark, Delta Lake, and MLflow.
• Proficiency in Python, SQL, and distributed systems concepts
• Experience with cloud platforms and infrastructure-as-code
• Solid understanding of MLOps best practices: CI/CD, monitoring, reproducibility, and security
• Experience supporting multiple ML teams in a shared platform environment
• Are an active owner of orphaned problems and are willing to assimilate whatever knowledge you’re missing to get the job done

Tech Stack

Faire uses a modern cloud based tech stack.  For this role, you’ll want to be proficient with the following:

Salary Range

Canada: the pay range for this role is $216,000 to $297,000 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

MaintainX is the world's leading Asset and Work Intelligence platform for industrial and frontline environments. We are a modern IoT-enabled cloud-based tool for reliability, safety, and operations on physical equipment and facilities. MaintainX powers operational excellence for 13,000+ businesses including Duracell, Univar Solutions Inc., Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell.

We recently completed a $150 million Series D funding round, bringing our total funding to $254 million and valuing the company at $2.5 billion.

As the AI GTM Engineer, Growth Marketing, you’ll build and scale the technical foundation behind MaintainX’s acquisition engine. Reporting to the VP, Growth Marketing & Strategy, this is a hands-on, embedded role within the Growth Marketing team, where you will partner directly with marketers to design, build, and launch campaigns powered by automation and AI. You won’t operate as a separate engineering function, you’ll work side-by-side with Customer Marketing, Performance Marketing, SEO & GEO, Lifecycle, and Field Marketing teams to turn campaign ideas into scalable systems and live experiments. This role is critical to building an AI-native, system-driven marketing engine at MaintainX, enabling us to scale acquisition through automation, personalization, and experimentation.

What you'll do:

• Partner with Marketing to Build & Launch Campaigns
• Work directly with Growth marketers to ideate, design, and launch acquisition campaigns
• Translate campaign ideas into scalable systems, automations, and experiments
• Rapidly prototype and iterate on new growth plays (landing pages, outbound, paid, lifecycle)
• Build Systems That Power Campaign Execution
• Develop tooling for programmatic landing pages, ad creative generation, and email workflows
• Enable marketers to launch campaigns faster through reusable systems and automation
• Balance speed (quick tests) with scalability (systems that can be reused)
• Embed AI into Marketing Workflows
• Partner with marketers to identify high-leverage use cases for AI in campaigns
• Build and deploy AI-driven systems for:
• Creative generation and testing
• Personalization across channels
• Outbound messaging and sequencing
• Turn one-off experiments into repeatable campaign infrastructure
• Own Experimentation with Marketing
• Co-design and implement experiments across paid, SEO, lifecycle, and web
• Build tooling to track performance, attribution, and testing outcomes
• Enable faster, data-driven iteration across campaigns

Audience, Segmentation & Personalization

• Partner with marketers to define target audiences and ICP segments
• Build systems to dynamically segment, enrich, and activate audiences across channels
• Enable real-time personalization across the funnel

• Marketing Data & Performance
• Ensure clean data flows from marketing channels into CRM and analytics systems
• Build dashboards and reporting layers for campaign performance and funnel metrics
• Improve visibility into CAC, conversion rates, and pipeline generation 

What you’ll bring:

Technical Skills

• Strong programming ability (Python, JavaScript, or similar)
• Experience working with APIs, automation frameworks, and event-driven systems
• Strong SQL skills and experience with data warehouses (Snowflake, BigQuery, etc.)
• Experience integrating tools like Salesforce, HubSpot, Segment, Webflow, etc.
• Experience deploying AI/LLM workflows into production
• Marketing Systems Experience
• Experience working closely with marketing teams to build and launch campaigns
• Strong understanding of paid media, SEO, lifecycle marketing, and web conversion flows
• Experience building systems that directly support campaign execution and optimization
• Mindset
• Thinks like a marketer, builds like an engineer
• Optimizes for speed, iteration, and measurable impact
• Focused on pipeline and revenue outcomes, not just outputs
• Defaults to automation and scalable systems over manual work

About you:

• 5+ years in growth engineering, marketing engineering, or technical growth roles, with experience building systems that support marketing and acquisition.
• Strong ability to partner with marketers to design and launch campaigns, and translate those into scalable systems and automation.
• Proficiency in SQL and at least one programming language (e.g., Python, JavaScript), with experience building scripts, workflows, or internal tools.
• Experience working with APIs, data pipelines, and integrating marketing tools (e.g., Salesforce, HubSpot, Segment).
• Experience applying AI/LLMs to automate or scale marketing workflows (e.g., content generation, personalization, outbound).
• Solid understanding of paid media, SEO, lifecycle marketing, and experimentation frameworks.
• Strong analytical skills with experience in testing, attribution, and performance measurement.
• Entrepreneurial mindset: thrives in fast-paced, test-and-learn environments with a bias toward speed and execution.
  
  

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrolment program.
• Take what you need PTO.
• A Work Culture where:
• You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
• We believe in meritocracy, where ideas and effort are publicly celebrated.

About us:

Our mission is to make the life of blue-collar workers easier worldwide by creating software that meets their needs and realities. Our product is truly life-changing for 80% of the workforce that doesn’t work behind a desk and needs enterprise-grade software at their fingertips.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

About the Role

The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.

Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact.

This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource.

What You'll Do

• Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform
• Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production
• Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds
• Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production
• Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability 
• Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads

You May Be a Good Fit If You:

• Have a strong interest in LLM serving; prior inference or ML experience is not required 
• Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
• Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability
• Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration
• Thrive in cross-functional collaboration with both internal teams and external partners
• Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
• Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description

Strong Candidates May Also Have Experience With:

• LLM inference optimization, batching, and caching strategies
• Capacity-constrained scheduling or shared-resource test infrastructure
• Solid understanding of multi-region deployments, request routing, load balancing, global traffic management
• Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service
• Proficiency in Python or Rust

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

As a Security Operations Engineer at Brex, you will focus on preventing, detecting and responding to security threats across Brex's corporate and cloud environments. You will use existing systems and develop tools to improve our security capabilities. Our team is responsible for functions across corporate security, detection & response and infrastructure security domains; and we perform systems engineering and automation to support those functions. 

Security Operations is part of our wider Trust & IT organization which means you will have the opportunity to work closely with Application Security, Corporate Engineering, GRC and IT and to improve security configurations, drive positive employee behaviors and generally work to prevent events from becoming incidents. You will also help build and maintain our team’s open source project Substation and have the opportunity to contribute to the Brex Tech Blog. You’ll be part of a team that actively contributes to the wider security community and has a commitment to mentorship and engineering excellence.

We’re looking for individuals with a strong background and interest in detecting, responding to, and resolving security incidents and security challenges. You should be comfortable dealing with lots of moving pieces, changing priorities, and new technologies, while having a keen eye for detail. Most importantly, you should be enthusiastic about working with a variety of backgrounds, roles, and people across Brex. Building a world-class financial service requires world-class security.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Work on a highly cross-functional team to prevent, detect and respond to security threats across Brex's corporate and cloud environments
• Perform security incident response, investigation, remediation, and documentation, participate in periodic threat hunting and security exercises
• Leading, scoping and building features, participate in designing, and maintaining tools and systems which support the team’s domains – corporate security, detection & response and infrastructure security 
• Collaborating and partnering with engineering and operations teams to drive remediation of security issues, while balancing prioritization of those security issues within SLA and teams’ respective backlogs
• Caring about secure system design, valuing building things correctly, an understanding of a MVP approach and an empathetic mindset when working with others

Requirements

• Bachelor’s degree in Computer Science, Engineering or related field OR equivalent training / fellowship OR 5+ years work experienceExperience working in a corporate security, detection & response or infrastructure security role with responsibilities for security alert triage and security incident response 
• Familiarity with CI/CD systems and DevOps workflows (e.g. Buildkite, Flux, Git, Terraform) in cloud environments (e.g. AWS, Azure, GCP)
• Experience with deploying and maintaining some of the security services and tools owned by the team (e.g. - SIEM, data pipelines, SOAR, domain monitoring, endpoint tooling, email protection tooling, cloud security tools)
• While not primarily a development role, the team develops and maintains tools written in Go and Python, so experience with coding is required
• You thrive in a collaborative environment filled with a diverse group of people with different expertise and backgrounds. We currently have around 30 nationalities represented with more than ½ the company working in a country different from the one they grew up in.

Bonus points

• Proficiency with Go and other programming languages 
• Experience with securing distributed systems in AWS, cloud and Kubernetes environments
• Contributions to the wider technical community (open source, public research, mentorship, community organizing, blogging, presentations, etc)

Compensation

The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

Brex’s Governance, Risk, and Compliance function is at an exciting and pivotal point in our maturity journey and we’re seeking a team member who can seamlessly bridge compliance expertise with technical execution. As a Senior GRC Engineer, you will drive critical GRC processes that mitigate risk, keep us compliant, and build trust with our customers and partners. You'll evolve the technical foundation of our Trust program by automating security controls, building integrations between security tools and GRC platforms, and creating scalable processes that enable Brex to maintain compliance efficiently as we expand into new markets. You'll work at the intersection of security, engineering, and compliance — translating regulatory requirements into technical solutions and building automation that eliminates manual toil.

You'll leverage your deep understanding of SOC 2, PCI DSS, ISO 27001, AI governance frameworks, and others to both design controls for emerging compliance requirements and mature existing programs through automation and continuous monitoring. You’ll support Trust Assurance, Third Party Risk Management, and other Security Risk Management initiatives. Working with our Engineering, Infrastructure, and Product teams, you'll translate compliance frameworks into technical controls and build automated systems that help us achieve world-class security as Brex expands.

Your contributions will directly accelerate Brex's maturity. You'll design workflows using Tines, build integrations between security and GRC systems, and create dashboards for security metrics. You'll implement controls across the technology stack, support multiple audits (SOC 2, PCI DSS, SOX/ITGC, FINRA, ISO), and contribute to AI governance framework implementation (ISO 42001, NIST AI RMF, EU AI Act).

You'll have autonomy to build innovative solutions, collaborating cross-functionally to implement controls that enable growth while communicating technical concepts effectively across the organization.

Where you’ll work

This role will be based in our Vancouver office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Manage and scale IT infrastructure, services and tooling
• Work with a diverse group of  IT partners to optimize our provided services
• Implement new services in support of Information Technologies vision
• Scale our services by implementing configuration as code via Terraform providers or APIs
• Operationalize and upskill IT and its partners by producing documentation and leading training sessions
• Evangelize best practices both internally and externally facing

Requirements

• 5+ years of experience in GRC, IT Governance, or Security Engineering with a strong track record of automating manual compliance workflows.
• Deep experience with security frameworks such as SOC 2, PCI DSS, ISO 27001, and NIST CSF, specifically within cloud-native environments.
• Technical proficiency in Python (or similar scripting languages) and experience building integrations using APIs to connect security tools with GRC systems. You can read code, design integrations, and understand technical implementations.
• Builder mindset with the ability to design and implement automated control testing, continuous monitoring, and data-driven security metrics. You see manual processes and immediately think about how to automate them.
• Exceptional cross-functional collaboration and communication skills. You can translate complex compliance requirements into technical specifications that engineering teams can actually implement and influence stakeholders across technical and non-technical domains.
• Strong systems thinking. You have the ability to design scalable GRC architectures that grow with the company, rather than just solving for the immediate audit.
• Bias for action. You’re a self-starter who ships solutions quickly and iterates based on feedback. 

Bonus points

• Previous experience in Fintech or banking environments navigating complex regulatory landscapes.
• Hands-on experience with Tines or other SOAR platforms to automate security operations.
• Familiarity with AI/ML governance frameworks (NIST AI RMF, ISO 42001) or securing agentic systems.
• Deep knowledge of Cloud Security (AWS/GCP), infrastructure-as-code (Terraform), or DevSecOps practices.
• Relevant industry certifications such as CISSP, CISA, or CCSP.
• Experience building metrics dashboards for security visualization and reporting.
• Active contributions to the GRC or Security community through open-source projects or public research.

Compensation

The expected salary range for this role is $153,600 - $192,000 CAD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

Brex’s Governance, Risk, and Compliance function is at an exciting and pivotal point in our maturity journey and we’re seeking a team member who can seamlessly bridge compliance expertise with technical execution. As a Senior GRC Engineer, you will drive critical GRC processes that mitigate risk, keep us compliant, and build trust with our customers and partners. You'll evolve the technical foundation of our Trust program by automating security controls, building integrations between security tools and GRC platforms, and creating scalable processes that enable Brex to maintain compliance efficiently as we expand into new markets. You'll work at the intersection of security, engineering, and compliance — translating regulatory requirements into technical solutions and building automation that eliminates manual toil.

You'll leverage your deep understanding of SOC 2, PCI DSS, ISO 27001, AI governance frameworks, and others to both design controls for emerging compliance requirements and mature existing programs through automation and continuous monitoring. You’ll support Trust Assurance, Third Party Risk Management, and other Security Risk Management initiatives. Working with our Engineering, Infrastructure, and Product teams, you'll translate compliance frameworks into technical controls and build automated systems that help us achieve world-class security as Brex expands.

Your contributions will directly accelerate Brex's maturity. You'll design workflows using Tines, build integrations between security and GRC systems, and create dashboards for security metrics. You'll implement controls across the technology stack, support multiple audits (SOC 2, PCI DSS, SOX/ITGC, FINRA, ISO), and contribute to AI governance framework implementation (ISO 42001, NIST AI RMF, EU AI Act).

You'll have autonomy to build innovative solutions, collaborating cross-functionally to implement controls that enable growth while communicating technical concepts effectively across the organization.

Where you’ll work

This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Manage and scale IT infrastructure, services and tooling
• Work with a diverse group of  IT partners to optimize our provided services
• Implement new services in support of Information Technologies vision
• Scale our services by implementing configuration as code via Terraform providers or APIs
• Operationalize and upskill IT and its partners by producing documentation and leading training sessions
• Evangelize best practices both internally and externally facing

Requirements

• 5+ years of experience in GRC, IT Governance, or Security Engineering with a strong track record of automating manual compliance workflows.
• Deep experience with security frameworks such as SOC 2, PCI DSS, ISO 27001, and NIST CSF, specifically within cloud-native environments.
• Technical proficiency in Python (or similar scripting languages) and experience building integrations using APIs to connect security tools with GRC systems. You can read code, design integrations, and understand technical implementations.
• Builder mindset with the ability to design and implement automated control testing, continuous monitoring, and data-driven security metrics. You see manual processes and immediately think about how to automate them.
• Exceptional cross-functional collaboration and communication skills. You can translate complex compliance requirements into technical specifications that engineering teams can actually implement and influence stakeholders across technical and non-technical domains.
• Strong systems thinking. You have the ability to design scalable GRC architectures that grow with the company, rather than just solving for the immediate audit.
• Bias for action. You’re a self-starter who ships solutions quickly and iterates based on feedback. 

Bonus points

• Previous experience in Fintech or banking environments navigating complex regulatory landscapes.
• Hands-on experience with Tines or other SOAR platforms to automate security operations.
• Familiarity with AI/ML governance frameworks (NIST AI RMF, ISO 42001) or securing agentic systems.
• Deep knowledge of Cloud Security (AWS/GCP), infrastructure-as-code (Terraform), or DevSecOps practices.
• Relevant industry certifications such as CISSP, CISA, or CCSP.
• Experience building metrics dashboards for security visualization and reporting.
• Active contributions to the GRC or Security community through open-source projects or public research.

Compensation

The expected salary range for this role is $153,600 - $192,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

Brex’s Governance, Risk, and Compliance function is at an exciting and pivotal point in our maturity journey and we’re seeking a team member who can seamlessly bridge compliance expertise with technical execution. As a Senior GRC Engineer, you will drive critical GRC processes that mitigate risk, keep us compliant, and build trust with our customers and partners. You'll evolve the technical foundation of our Trust program by automating security controls, building integrations between security tools and GRC platforms, and creating scalable processes that enable Brex to maintain compliance efficiently as we expand into new markets. You'll work at the intersection of security, engineering, and compliance — translating regulatory requirements into technical solutions and building automation that eliminates manual toil.

You'll leverage your deep understanding of SOC 2, PCI DSS, ISO 27001, AI governance frameworks, and others to both design controls for emerging compliance requirements and mature existing programs through automation and continuous monitoring. You’ll support Trust Assurance, Third Party Risk Management, and other Security Risk Management initiatives. Working with our Engineering, Infrastructure, and Product teams, you'll translate compliance frameworks into technical controls and build automated systems that help us achieve world-class security as Brex expands.

Your contributions will directly accelerate Brex's maturity. You'll design workflows using Tines, build integrations between security and GRC systems, and create dashboards for security metrics. You'll implement controls across the technology stack, support multiple audits (SOC 2, PCI DSS, SOX/ITGC, FINRA, ISO), and contribute to AI governance framework implementation (ISO 42001, NIST AI RMF, EU AI Act).

You'll have autonomy to build innovative solutions, collaborating cross-functionally to implement controls that enable growth while communicating technical concepts effectively across the organization.

Where you’ll work

This role will be based in our New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Manage and scale IT infrastructure, services and tooling
• Work with a diverse group of  IT partners to optimize our provided services
• Implement new services in support of Information Technologies vision
• Scale our services by implementing configuration as code via Terraform providers or APIs
• Operationalize and upskill IT and its partners by producing documentation and leading training sessions
• Evangelize best practices both internally and externally facing

Requirements

• 5+ years of experience in GRC, IT Governance, or Security Engineering with a strong track record of automating manual compliance workflows.
• Deep experience with security frameworks such as SOC 2, PCI DSS, ISO 27001, and NIST CSF, specifically within cloud-native environments.
• Technical proficiency in Python (or similar scripting languages) and experience building integrations using APIs to connect security tools with GRC systems. You can read code, design integrations, and understand technical implementations.
• Builder mindset with the ability to design and implement automated control testing, continuous monitoring, and data-driven security metrics. You see manual processes and immediately think about how to automate them.
• Exceptional cross-functional collaboration and communication skills. You can translate complex compliance requirements into technical specifications that engineering teams can actually implement and influence stakeholders across technical and non-technical domains.
• Strong systems thinking. You have the ability to design scalable GRC architectures that grow with the company, rather than just solving for the immediate audit.
• Bias for action. You’re a self-starter who ships solutions quickly and iterates based on feedback. 

Bonus points

• Previous experience in Fintech or banking environments navigating complex regulatory landscapes.
• Hands-on experience with Tines or other SOAR platforms to automate security operations.
• Familiarity with AI/ML governance frameworks (NIST AI RMF, ISO 42001) or securing agentic systems.
• Deep knowledge of Cloud Security (AWS/GCP), infrastructure-as-code (Terraform), or DevSecOps practices.
• Relevant industry certifications such as CISSP, CISA, or CCSP.
• Experience building metrics dashboards for security visualization and reporting.
• Active contributions to the GRC or Security community through open-source projects or public research.

Compensation

The expected salary range for this role is $153,600 - $192,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

Brex’s Governance, Risk, and Compliance function is at an exciting and pivotal point in our maturity journey and we’re seeking a team member who can seamlessly bridge compliance expertise with technical execution. As a Senior GRC Engineer, you will drive critical GRC processes that mitigate risk, keep us compliant, and build trust with our customers and partners. You'll evolve the technical foundation of our Trust program by automating security controls, building integrations between security tools and GRC platforms, and creating scalable processes that enable Brex to maintain compliance efficiently as we expand into new markets. You'll work at the intersection of security, engineering, and compliance — translating regulatory requirements into technical solutions and building automation that eliminates manual toil.

You'll leverage your deep understanding of SOC 2, PCI DSS, ISO 27001, AI governance frameworks, and others to both design controls for emerging compliance requirements and mature existing programs through automation and continuous monitoring. You’ll support Trust Assurance, Third Party Risk Management, and other Security Risk Management initiatives. Working with our Engineering, Infrastructure, and Product teams, you'll translate compliance frameworks into technical controls and build automated systems that help us achieve world-class security as Brex expands.

Your contributions will directly accelerate Brex's maturity. You'll design workflows using Tines, build integrations between security and GRC systems, and create dashboards for security metrics. You'll implement controls across the technology stack, support multiple audits (SOC 2, PCI DSS, SOX/ITGC, FINRA, ISO), and contribute to AI governance framework implementation (ISO 42001, NIST AI RMF, EU AI Act).

You'll have autonomy to build innovative solutions, collaborating cross-functionally to implement controls that enable growth while communicating technical concepts effectively across the organization.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Manage and scale IT infrastructure, services and tooling
• Work with a diverse group of  IT partners to optimize our provided services
• Implement new services in support of Information Technologies vision
• Scale our services by implementing configuration as code via Terraform providers or APIs
• Operationalize and upskill IT and its partners by producing documentation and leading training sessions
• Evangelize best practices both internally and externally facing

Requirements

• 5+ years of experience in GRC, IT Governance, or Security Engineering with a strong track record of automating manual compliance workflows.
• Deep experience with security frameworks such as SOC 2, PCI DSS, ISO 27001, and NIST CSF, specifically within cloud-native environments.
• Technical proficiency in Python (or similar scripting languages) and experience building integrations using APIs to connect security tools with GRC systems. You can read code, design integrations, and understand technical implementations.
• Builder mindset with the ability to design and implement automated control testing, continuous monitoring, and data-driven security metrics. You see manual processes and immediately think about how to automate them.
• Exceptional cross-functional collaboration and communication skills. You can translate complex compliance requirements into technical specifications that engineering teams can actually implement and influence stakeholders across technical and non-technical domains.
• Strong systems thinking. You have the ability to design scalable GRC architectures that grow with the company, rather than just solving for the immediate audit.
• Bias for action. You’re a self-starter who ships solutions quickly and iterates based on feedback. 

Bonus points

• Previous experience in Fintech or banking environments navigating complex regulatory landscapes.
• Hands-on experience with Tines or other SOAR platforms to automate security operations.
• Familiarity with AI/ML governance frameworks (NIST AI RMF, ISO 42001) or securing agentic systems.
• Deep knowledge of Cloud Security (AWS/GCP), infrastructure-as-code (Terraform), or DevSecOps practices.
• Relevant industry certifications such as CISSP, CISA, or CCSP.
• Experience building metrics dashboards for security visualization and reporting.
• Active contributions to the GRC or Security community through open-source projects or public research.

Compensation

The expected salary range for this role is $153,600 - $192,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Data at Brex

Our Scientists and Engineers work together to make data — and insights derived from data — a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.

What You’ll Do

As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications. 

Where you’ll work

This role will be based in our Sao Paulo office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities:

• Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.
• Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation. 
• Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications. 
• Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.
• Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.
• Set and proliferate company-wide standards for data relating to structure, quality, and expectations.
• Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.
• Use agentic AI where it speeds up pipeline and quality work, without skipping validation.

Requirements:

• 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.
• Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.
• Experience integrating and orchestrating data workflows with various modern data tools and systems.
• Experience with data modeling, ETL/ELT processes, and data warehousing solutions.
• Experience working with a data warehouse such as Snowflake.
• Experience with a data workflow orchestrator tool such as Airflow.
• Experience with a programming language such as Python. 
• Experience with agentic AI. 
• Exceptional quantitative and analytical skills.
• Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.

Nice to have:

• Familiarity with BI tools such as Looker, Tableau, or similar platforms. 
• Solid dbt in production: models, tests, docs, and collaboration in a shared repo. 
• AI-ready data: Metrics and dimensions are clear and reusable so AI-assisted analysis does not fork definitions. 
• Experience with Salesforce data integration. 

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Data at Brex

Our Scientists and Engineers work together to make data — and insights derived from data — a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.

What You’ll Do

As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications. 

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities:

• Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.
• Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation. 
• Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications. 
• Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.
• Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.
• Set and proliferate company-wide standards for data relating to structure, quality, and expectations.
• Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.
• Use agentic AI where it speeds up pipeline and quality work, without skipping validation.

Requirements:

• 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.
• Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.
• Experience integrating and orchestrating data workflows with various modern data tools and systems.
• Experience with data modeling, ETL/ELT processes, and data warehousing solutions.
• Experience working with a data warehouse such as Snowflake.
• Experience with a data workflow orchestrator tool such as Airflow.
• Experience with a programming language such as Python. 
• Experience with agentic AI. 
• Exceptional quantitative and analytical skills.
• Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.

Nice to have:

• Familiarity with BI tools such as Looker, Tableau, or similar platforms. 
• Solid dbt in production: models, tests, docs, and collaboration in a shared repo. 
• AI-ready data: Metrics and dimensions are clear and reusable so AI-assisted analysis does not fork definitions. 
• Experience with Salesforce data integration. 

Compensation:

The expected salary range for this role is $120,800 - $151,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

About the role

We are seeking a Staff Software Engineer to build and operate the safety, oversight, and intervention mechanisms that protect Claude on third-party cloud service provider (CSP) platforms. As the engineer responsible for Safeguards on those surfaces, you will ensure that every request served through our CSP partners is monitored for misuse, enforced against policy, and compliant with the data residency and privacy commitments that enterprise CSP customers expect.

You will sit at the seam between the Safeguards organization and the Cloud Inference team: taking classifiers, detection signals, and enforcement policies developed by Safeguards and making them run reliably inside a CSP partner’s infrastructure at serving-path latency and scale. You will own the architecture that lets our safeguards operate within those constraints without gaps. You will build, deploy and operate the multi-layered defenses that catch unwanted model behavior in real time, the telemetry pipelines that give us situational awareness over CSP traffic, and the enforcement hooks that let us act quickly when something goes wrong. Your work will directly determine whether Anthropic can ship frontier models on CSP platforms at the same safety bar we hold ourselves to on our first-party API.

Responsibilities:

• Build, deploy and operate real-time safeguards infrastructure—classifiers, rate limits, enforcement actions, and intervention hooks—embedded directly in the third-party CSP inference serving path
• Design and maintain the data residency and privacy architecture for safeguards signals on CSP platforms, ensuring we can detect abuse and monitor model behavior while honoring regionalization boundaries and enterprise contractual commitments
• Develop telemetry, logging, and evaluation pipelines that give Safeguards, Policy, and T&S operational teams situational awareness over CSP traffic and close the visibility gap between third-party and first-party serving
• Dive into the CSP serving stack to identify the lowest-impact points to gather signals or introduce interventions without degrading latency, stability, or overall architecture
• Hold a high operational bar: own on-call, drive root-cause analyses and postmortems for safeguards incidents on CSP platforms, and build systems that reduce the human intervention required to keep Claude safe
• Work closely with Safeguards research, Policy & Enforcement, the Cloud Inference team, and CSP partner contacts to turn detection research and policy decisions into production enforcement that works inside a partner’s cloud.

You may be a good fit if you:

• Have a Bachelor’s degree in Computer Science, Software Engineering, or comparable experience
• Have 7+ years of experience in high-scale, high-reliability software development, ideally with exposure to trust & safety, anti-abuse, fraud, or integrity systems
• Are proficient in Python and comfortable working across the stack—from request-path services to data pipelines to internal tooling
• Think adversarially: you can see a system from a bad actor’s perspective, anticipate how they will respond to countermeasures, and design defenses in depth rather than single points of enforcement
• Have experience scaling infrastructure to accommodate rapid traffic growth while keeping latency and reliability within tight budgets
• Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development
• Have strong communication skills and can explain complex technical and risk tradeoffs to non-technical stakeholders across Policy, Legal, and partner organizations
• Enjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space

Strong candidates may also have experience with:

• Building trust and safety, anti-spam, fraud, or abuse detection and mitigation mechanisms for AI/ML systems, or the infrastructure to support these systems at scale
• Machine learning serving infrastructure (GPUs/TPUs, inference servers, load balancing) and the operational realities of running models in production
• Major cloud platform internals—IAM, Network/service perimeter controls, regional resource constraints, cloud-native logging/monitoring—or experience shipping software that runs inside a partner’s cloud rather than your own
• Data residency, privacy engineering, or compliance-constrained architectures, particularly where telemetry has to stay within regional or contractual boundaries
• Working closely with operational and human-review teams to build custom internal tooling, admin UX, and alerting
• Adversarial mindset: has shipped defenses against motivated attackers before, knows what it feels like when they adapt, and can sprint to close a gap before it becomes an incident
• Comfortable operating at the intersection of platform/infra engineering and trust & safety—neither a pure infra engineer nor a pure T&S engineer, but someone who can credibly do both
• Has shipped software that runs inside someone else’s infrastructure (partner cloud, embedded deployment, or similar) and knows how to get things done when you don’t control the whole stack
• Senior enough to own a cross-team seam independently, drive consensus across orgs, and make latency/safety tradeoff calls without escalation
• TypeScript or Rust, and agentic coding tools such as Claude Code

Join Airtable as a Product Security Engineer and play a pivotal role in shaping the security of our rapidly evolving platform as we expand our AI and LLM-powered offerings. You will join the team responsible for safeguarding the application layer of Airtable’s platform.

You will partner closely with product engineering teams to build paved roads, frameworks, and automated controls that make the secure path the easy path for our engineering teams. You will help influence application security at scale, ensuring our products are secure by design.

What you'll do

• Develop self-service security frameworks and "paved roads" that allow engineering teams to ship secure code by default.
• Focus on automated guardrails for common vulnerabilities, while prioritizing deep-dive design reviews into complex business logic and data isolation issues (for example, multi-tenant isolation and authorization/permission bypasses) that automated tools cannot catch.
• Partner with product and engineering teams to review designs early, contribute to threat modeling for new features and complex initiatives, and provide clear, actionable security guidance.
• Research emerging threats and evolving best practices, specifically regarding AI and LLM safety, and implement controls to secure these workflows.
• Manage and evolve our approach to external penetration testing and bug bounties, driving remediation for findings and treating vulnerability management as an engineering problem.
• Contribute to the long-term roadmaps, metrics, and strategic planning for the security team.
• (Senior/Staff L5+) Lead complex threat modeling sessions for major product launches and define secure coding standards, and actively mentor other engineers to raise the technical security bar across the organization.

Who you are

• 4+ years of experience in product security or application security, with experience shipping production code. Please note this is not an early career position.
• You have a strong background in computer science or a related field, with proficiency in writing clean, maintainable code.
• You have deep familiarity with JavaScript or TypeScript, Node.js, and modern web application frameworks, and can reason about the security implications of systems built on them.
• You have hands-on experience securing LLM integrations and identifying prompt injection or data leakage risks.
• You are proficient in writing and reviewing code and treat security as an engineering problem to be solved with software, not just policies.
• You excel at communicating complex security risks to non-security stakeholders and enjoy collaborating cross-functionally to find solutions that balance security with engineering velocity.
• You are comfortable working in a fast-paced environment, navigating ambiguity, continuously learning about emerging threats and technologies, and contributing to long-term security strategy.

Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant. 

VEVRAA-Federal Contractor

If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants.

#LI-remote

About GlossGenius

GlossGenius is building an ecosystem enabling entrepreneurs to succeed.  We empower small business owners to focus on being creators, not admins, by offering a range of business management tools including booking and scheduling, marketing, analytics, payment processing and much more. 

Over 100,000 small business owners have chosen to rely on GlossGenius every day to run their entire set of business operations. Joining its powerful, intuitive platform with its vibrant, distinguished brand, GlossGenius is the ideal combination of a fintech, SMB software, and consumer company all in one.

About the Role

As we continue to scale, we’re strengthening our Data Engineering team. The primary focus of this role is to reimagine the data infrastructure to support our AI platform. This transformation will be critical to the success of our future products, and vital in delivering value to our 100,000+ business owners

You must be commutable to our NYC or SF headquarters. We default to being in-office 3-4 days per week with required attendance on Tuesdays and Thursdays.

What You’ll Do:

As an Software Engineer, Data Platform, you'll be both a hands-on technical expert and a strategic leader. You'll drive the design of core data models and pipelines in our Snowflake and Clickhouse lakehouse, setting the standards for quality, reliability, and scalability across the platform.

You'll own end-to-end solutions—from architecture and implementation to operations and optimization—while helping guide the long-term direction of GlossGenius' data ecosystem. You'll collaborate across teams to turn complex business problems into robust data solutions, mentor engineers to help them grow and deliver at a higher level, and help the team evolve toward a fully governed lakehouse with fine-grained access controls and consistent lineage.

• Design and implement core data models and pipelines that power analytics, ML, and product experiences
• Implement modern data lake orchestration patterns, including medallion architectures
• Architect and evolve a scalable, cost-efficient, and reliable lakehouse foundation using Snowflake, Clickhouse, and orchestration tools
• Define best practices and technical standards that improve data quality, governance, and performance across teams
• Mentor engineers and foster a culture of ownership, operational excellence, and continuous learning
• Shape the long-term technical vision and roadmap for GlossGenius' data platform

What We’re Looking For

• 5+ years of experience in data engineering, with a strong background in data architecture, data modeling, and distributed data systems
• Deep expertise in modern lakehouse technologies such as Snowflake and Clickhouse
• Experience implementing modern data orchestration patterns for big data use-cases, including batch and streaming workloads
• Advanced proficiency in SQL and Python or Scala, including performance optimization and large-scale ETL design
• Familiarity with AI/ML workflows and the data infrastructure that supports them, you understand what it takes to move data from raw ingestion to model-ready, and ideally have experience building pipelines that feed or serve ML models in production
• Demonstrated ability to lead technical initiatives, set standards, and influence decisions across teams
• Comfort owning systems end-to-end, including monitoring, reliability, and cost management
• Excellent communication skills with the ability to translate technical trade-offs to both engineers and non-technical stakeholders

About the Role:

We're looking for a Senior Staff Security Engineer to lead Gusto's edge and network security strategy, owning the design and operation of our Cloudflare WAF, DDoS protection, Zero Trust, and broader perimeter controls. The ideal candidate brings deep, hands-on Cloudflare expertise and a proven track record of hardening edge and network architectures at scale, including tuning WAF rulesets, defending through live DDoS events, and shipping Zero Trust rollouts engineers actually adopt. You think in terms of layered defense, measurable risk reduction, and automation over manual toil. In this role, you'll serve as a force multiplier across the security org, partnering with infrastructure and product teams to make high-impact architectural decisions that compound over time.

About the Team:

The Gusto's Enterprise Security Engineering team, a small but high-leverage group responsible for cloud security posture, edge and network defense, container security, secrets management, and endpoint protection across the company. The team runs a modern stack including Cloudflare, Wiz, CrowdStrike, Panther, and Tines, scaling impact through automation, IaC, and AI-augmented tooling. The work carries real stakes, protecting the payroll, benefits, and HR systems that hundreds of thousands of small businesses and their employees rely on every day. The team is engineering-first, with most of the roadmap living in code and a strong emphasis on partnering with infrastructure and product teams rather than gatekeeping them.

Here’s what you’ll do day-to-day:

• Design and operate Gusto's edge security stack including Cloudflare WAF, DDoS protection, Bot Management, WARP, Gateway, and Access, tuning rules against real traffic and shaping how engineers and operations teams reach internal systems securely.
• Own the network security perimeter across AWS and the edge: VPC design, Network Firewall, Shield, CloudFront, NACLs, and egress filtering, all codified in Terraform and Crossplane, observable, and consistently enforced.
• Develop policy-as-code patterns for WAF rules, network policies, and edge configuration so changes ship through pull requests with review, testing, and clean rollback paths.
• Build detections and alerting on edge and network telemetry including Cloudflare logs, VPC Flow Logs, and CloudTrail flowing into Panther, and lead incident response for perimeter and network events.
• Contribute broadly across the security engineering surface including cloud posture, container security, IAM, vulnerability management, and on-call, bringing a strong generalist instinct to wherever the work is most critical.
• Operate as an AI-native engineer, using Claude Code, MCP-driven tooling, and agentic workflows as a daily force multiplier across investigation, automation, and detection engineering.
• Prototype and ship agents, custom MCP servers, and LLM-assisted automations that compress security work from days to minutes and raise the bar for what one engineer can own.

Here’s what we're looking for:

• 10+ years of hands-on security engineering experience, with significant time owning edge, network, or perimeter security at scale.
• Deep, production-grade expertise with Cloudflare's security stack including WAF, DDoS, Bot Management, WARP, Gateway, and Access, covering rule tuning, incident response, and Zero Trust rollouts.
• Strong network architecture skills across edge and cloud: TLS/mTLS, segmentation, egress controls, DDoS resilience, and AWS networking including VPC, Network Firewall, Shield, CloudFront, and NACLs.
• Fluency with policy-as-code, Terraform, and CI/CD-first delivery of security controls; Crossplane or similar a plus.
• Solid generalist foundation across cloud security, IAM, container security, and detection engineering, with hands-on incident response experience on edge and network telemetry in a modern SIEM.
• AI-native working style with daily use of Claude Code or equivalent agentic tooling, and a track record of building AI-assisted workflows including custom MCP servers, agents, and LLM automations that compound team output.
• Excellent written and verbal communication; you can take a complex perimeter decision and explain the tradeoffs to a staff engineer, a PM, and a VP without changing the substance.
• Relevant certifications a plus including AWS Certified Advanced Networking Specialty, AWS Certified Security Specialty, Cloudflare Certified Security Associate/Professional, CKS, or equivalent.

The Team + The Role

Pendo’s Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings together work that has historically sat across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical owner. Customer Engineering helps customers connect technical execution to business outcomes and realize the value of their investment in Pendo.

As a Senior Customer Engineer, you own strategic and complex Enterprise accounts across acquisition, implementation, adoption, expansion, and escalation. You lead technical strategy for complex deployments, resolve ambiguous customer challenges, and partner closely with account teams to drive retention, expansion, and customer value. Your impact extends beyond your own accounts through playbooks, coaching, repeatable fixes, and workflow improvements that raise the capability of the broader Customer Engineering team.

This is a remote role supporting a West Coast territory. 

What this looks like day-to-day

• New customer acquisition and selling: Partner with Account Directors on pre-sales motions for new customer acquisition, product expansion, and expansion across lines of business. You identify customer pain, craft and deliver tailored demos, and lead technical evaluations through requirements gathering, success criteria, installation guidance, and hands-on workshops.
• Complex implementations and value realization: Lead onboarding for strategic customers, including planning, implementation, integrations, and training. You build customer-specific implementation playbooks, guide complex deployments with executive visibility, and ensure customers realize value during onboarding and over time.
• Adoption, expansion, and growth: Identify opportunities to expand adoption across underutilized features, untapped products, and new lines of business. When adoption stalls, you diagnose root causes, design a path forward, and connect technical work to measurable business outcomes.
• Technical escalation: Serve as an escalation point for complex technical challenges raised by other Customer Engineers. You resolve ambiguous problems with multiple variables and tradeoffs, involving Product or Engineering only when truly needed.
• Team capability building: Build playbooks, document repeatable fixes, coach peers, and improve how Customer Engineering work gets done across the team. You use AI tools to accelerate content creation, surface patterns across accounts, and share practical workflow findings with the broader team.
• Early account impact: Assess account health, risks, stakeholder relationships, and the highest-priority problems to solve within your portfolio. You establish trust with Account Directors and customer stakeholders, then independently lead complex customer interactions that move accounts forward.
• Quarterly business outcomes: Drive measurable improvement in customer health, retention, expansion, and technical resolution across strategic accounts. You contribute reusable frameworks, playbooks, or processes that other Customer Engineers use and become a trusted advisor to Account Directors on account health and technical strategy.

Who You Are

Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.

You're a builder, not a maintainer.

You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Senior Customer Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.

You're AI-curious - genuinely.

You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.

Must-haves

• 5 to 8 years of experience in a customer-facing technical role such as Sales Engineering, Solutions Engineering, Technical Account Management, Customer Engineering, implementation, professional services, or solutions architecture.
• Deep hands-on experience with web technologies including HTML, CSS, JavaScript, and REST APIs, with the ability to architect and troubleshoot complex front-end implementations.
• Proven experience managing strategic Enterprise accounts with executive-level stakeholders, competing priorities, and complex technical or business requirements.
• Demonstrated ability to solve ambiguous problems involving multiple variables, constraints, and tradeoffs.
• Experience connecting technical execution to business outcomes such as retention, expansion, ROI, and value realization.
• Hands-on use of AI tools for account research, content creation, or workflow automation, with demonstrated integration into day-to-day work rather than light experimentation.
• Experience mentoring or coaching more junior technical team members.

Nice-to-haves

• Experience with Pendo, digital adoption platforms, product analytics, or in-app experience tooling in an enterprise environment.
• Hands-on experience with mobile app development, including Swift, Android, or React Native.
• Familiarity with data architecture, AI or machine learning concepts, or advanced analytics instrumentation.
• Track record of building reusable frameworks, playbooks, or processes that were adopted by a broader team.

About Pendo

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: Remote

Compensation: The expected On-Target Earnings (OTE) range for this role is $193,393 - $241,742, with a 70/30 base-to-variable compensation split.

Benefits: Pendo offers highly competitive United States benefits, including employer-heavy coverage with $0 premium options, strong 401(k) match, equity, and flexible time off.

EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

We’re looking for a Principal Engineer to drive the technical direction and architecture of Platform-as-a-Service (PaaS) at DigitalOcean. Our mission is to make deploying, scaling, and managing applications as simple and seamless as possible for developers around the world—from first deploy to internet scale.

As a Principal Engineer on the PaaS team, you’ll play a key role in designing and building the next generation of cloud-native services such as App Platform, Functions, and CI/CD. You’ll architect systems that power our global infrastructure, partner closely with engineering and product teams across the company, and mentor engineers to level up the entire organization. This is a unique opportunity to shape how developers build and ship software on a platform purpose-built for simplicity and scale.

We’re looking for someone who can span technical strategy and hands-on execution—someone who thrives on solving complex distributed problems and multiplying the impact of everyone around them.

What You’ll Do:

• Architect and guide the implementation of high-scale, reliable, and secure systems that underpin our PaaS offerings.
• Drive technical direction and make foundational decisions on system design, scalability, observability, and developer experience.
• Partner with product managers and engineering leadership to define short- and long-term roadmap priorities.
• Identify platform bottlenecks, inefficiencies, and future risks—and design solutions that proactively address them.
• Collaborate across teams to ensure seamless integration between platform services, infrastructure, and developer tools.
• Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact.
• Stay ahead of emerging technologies, patterns, and best practices in the PaaS, serverless, and cloud-native ecosystem.

Key Metrics:

• Platform availability and system performance
• Developer adoption and satisfaction
• Technical debt reduction and architectural clarity
• Engineering velocity and cross-team alignment

What You’ll Add to DigitalOcean:

• 11+ years of experience designing and building distributed systems at scale.
• Expertise in one or more backend languages (e.g., Go, Python, C++, Java) and strong fundamentals in systems architecture and infrastructure.
• Proven experience leading the design of large-scale services used by 1000s (or millions) of customers.
• Passion for mentoring and elevating those around you—technical leadership is about multiplying impact.

Compensation Range:

• $227,040 - $283,800

*This is a remote role

JR: 2025-7225

#LI-Remote

#LI-SK1 

About the Role

This role is for someone who wants to own the technical win. As a Senior Enterprise Solutions Engineer at Hightouch, you will partner with your Account Executives to drive the full technical sales motion from deep discovery and architectural solutioning to tailored product demonstrations and rigorous technical validation. You will own relationships with technical champions, co-develop account strategy, and guide customers to our solutions by navigating complex, multi-stakeholder buying committees and running competitive enterprise sales cycles. We leverage a disciplined value-selling motion, and are looking for deep experience in enterprise sales cycles where you have had to earn the technical win, not assume it.

Hightouch sits at the intersection of two powerful technological shifts: the rise of agentic AI and the maturation of the cloud data warehouse. We are solving real, complex problems at the intersection of marketing and data. As a senior SE, you will become a product expert, a trusted advisor to enterprise buyers, and a meaningful contributor to a team that is still early in building something significant.

What You’ll Do

• Lead technical discovery to deeply understand a customer’s data architecture, marketing workflows, and business objectives; and translate that into differentiated requirements and a compelling solution design.
• Design and deliver tailored product demonstrations and architectural solutions spanning Hightouch’s Customer Studio, Identity Resolution, Match Booster, and Agentic Marketing Platform.
• Run proof-of-concept engagements end-to-end: scoping, designing, executing, and validating with the discipline and rigor required to close complex enterprise deals.
• Build deep technical relationships with data engineers, architects, and marketing technologists becoming their trusted advisor.
• Navigate complex buying committees, engaging confidently with technical teams, marketing leaders, and C-suite executives

What Success Looks Like

Quickly build technical expertise, moving from foundational product, use case, and demo fluency in the first three months to independently closing deals and solving complex, multi-product problems within six months. You will begin contributing beyond your own deals and raising the collective bar for the team within a year.

What We’re Looking For

Required

• 7+ years of progressive enterprise pre-sales or solutions engineering experience, including complex solution architecture across multi-stakeholder buying cycles.
• Demonstrated ability to lead technical discovery, architectural whiteboarding, and solution design with both technical and business audiences, including C-suite stakeholders.
• Deep familiarity with modern data ecosystems: cloud data warehouses, data modeling, data engineering, integrations, and APIs - and the ability to navigate a customer’s data architecture confidently without needing to be a hands-on practitioner.
• Proven ability to build technical champions and influence complex buying committees across engineering, marketing, and executive levels.
• Experience in competitive enterprise sales motions. Familiarity with MEDDPICC, Command the Message, or equivalent value-selling frameworks is a strong plus.
• Intellectual curiosity, high ambition, and humility. You want to keep getting better, and you are honest about what you do not yet know.
• A team-first orientation where you elevate the people around you, operate within shared frameworks and processes, and measure yourself by more than your own quota.

Bonus

• Hands-on experience with Customer Data Platforms (CDPs), Marketing Automation, Data Warehouses, or similar technologies at the integration, architecture, or use case level.
• Background collaborating with data engineering, science, or analytics teams, either as a customer or in a prior role.
• Experience in a high-growth B2B SaaS company scaling through a significant inflection point.

Why Hightouch

We are building something that has the potential to redefine how companies use data to drive marketing outcomes. We’ve doubled in size each of the last three years, earned recognition as a Gartner Magic Quadrant leader in CDP, and have been acknowledged in the top 10 of the Forbes Best Startups list the last two years.

Beyond the market position and the customer list, what makes this team worth joining is the culture and values. Two core values exemplify how this team operates:

Forever Hungry — We are ambitious and we celebrate wins, but we are never fully satisfied. We are always looking for ways to push further, move faster, and do more for our customers and each other.

Raising the Bar — We have high expectations for performance and believe in having exceptional talent in every position. We look deeper than credentials, prioritize trajectory over pedigree, and invest in people who make everyone around them better.

As a senior SE at Hightouch, you will have the autonomy to shape your territory, the product complexity to do technically meaningful work, and a team around you that makes it worth showing up for.

Compensation

On-Target Earnings: $220,000–$270,000 annually
Base Salary: $154,000–$189,000 annually

We also offer meaningful equity compensation in the form of ISO options, with early exercise and a generous 10-year post-termination exercise window.

* Travel required for customer and team engagements.

About the Role

We’re looking for a talented, curious, and motivated engineering manager to lead our engineering team that manages our 300+ destination integrations. This role would involve a mix of leadership and hands-on engineering.

Destination integrations are at the heart of Hightouch’s products. Every single Hightouch customer, from early adopters of our Agentic Marking Platform to customers running tens of thousands of syncs a day at scale, rely on these integrations to send their data to destinations like CRMs, advertising platforms, analytics engines, and more.

We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. You would lead the team by example, raise the bar for technical execution, and continuously ensure the team is focusing on the highest-value deliverables.

We ship quickly - it’s not uncommon for someone to implement a new integration while simultaneously shipping a few improvements in a week. Engineers also regularly work directly with customers and integration partners to solution new use cases as they come up.

Here’s an example of some problems you’d be working on:

• Managing our 300+ integrations: We get tens of requests for new destinations and even more requests to add functionality to our existing integrations. You’ll be responsible for prioritizing these requests to balance enabling immediate deals with longer-term business strategy and engineering improvements.
• Sync speed: Customers want to sync large volumes of data to a diverse set of destinations (HTTP APIs, file transfers, data warehouses), each with its own limitations. We need to ensure that we’re maximizing our performance via a combination of parallelism, batching, rate-limit detection, and algorithmic optimizations.
• AI developer productivity and enablement: How can rapid advances in AI help us ship faster and with higher quality?

The salary range for this position is $200,000 - 320,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

About You

We’re looking for a leader who is motivated by delivering customer value, quickly, while mentoring and guiding the team to continuously raise the bar. This is a leadership role, but we care about evidence of impact and potential for growth more than years of experience.

You are a great fit if you:

• Value excellence in what you do, and bring out excellence in those around you.
• Are passionate about mentoring newer engineers
• Are looking for a blend of hands-on development with people leadership
• Reason from first principles about problems, and are constantly curious to find ground truth.
• Form clear opinions about ambiguous problems while communicating with clarity.
• [Bonus] Have experience building and scaling a platform with hundreds of API integrations.

Interview Process

In our interview process, we’re looking to assess mutual fit - we want you to ask us questions too! We want to draw upon your vast prior experience to give us detailed and specific insights into how you operate and lead. Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don’t ask you to write code to solve technical brainteasers that don’t appear in your day to day job.

• Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit.
• Hiring Manager Conversation [30m]: Meet with the hiring manager to discuss the role, your previous experiences, and leadership style.
• Leadership and Management [60m]: A deep dive into leadership practices, past companies, and past leadership roles.
• System Design Interview [90m]: Work with an engineer to architect a system at a conceptual level. You’ll start from customer requirements and work all the way down to specific technical implementation.
• Past Project Interview [60m]: Reflect on a past project with an engineering leader, going deep into both technical and project management details.
• Prioritization and Execution [60m]: Discuss how you think about impact, make priority tradeoffs, and measure technical excellence with the hiring manager.

The Customer Problem

When you open Spotify, the homepage is different for every user. When you browse Nike's site, products are ranked by what Nike thinks you'll buy. When you log into Chase, offers are tailored to your spending. This is web and mobile personalization: deciding in real time what each customer sees inside your product. It directly moves conversion, retention, and revenue at the point where customers are already engaged.

Almost nobody does it well outside of companies that build it from scratch. A single experiment (testing whether high-spend users convert better seeing a loyalty upsell on the account page) requires an analyst to build the segment, a PM to write targeting rules, a designer to create variants, an engineer to instrument the test, and someone to monitor results. Most teams run 5–10 per quarter and end up with a handful of static rules covering a fraction of their users.

The tools that exist (Optimizely, Adobe Target) handle infrastructure but don't solve the coordination problem. Every experiment, audience, and piece of content still requires manual configuration. They also force companies to duplicate customer data into a proprietary store, adding months of implementation and permanent vendor lock-in.

Why Agents are the Solution

The shift from "AI assists a step" to "AI owns a workflow" is already happening in software engineering. Personalization is ready for the same shift.

Today: A growth team testing whether high-intent visitors convert better with a comparison page spends 2–4 weeks coordinating across tools and people. They run maybe 8 experiments that quarter.

With agents: The growth lead describes the goal. An agent identifies the audience from existing customer data, generates variants informed by past performance, configures the experiment with holdout groups, launches it, monitors significance, and reallocates traffic. The human reviews before launch. Calendar time: hours. The same team runs 50+ experiments per quarter because the coordination cost drops to nearly zero.

Agents handle the full chain as one workflow: audience, content, experiment, optimization. Instead of a bunch of manual steps, agents rethink this as a continuously improving closed loop.

Why Hightouch, Why Now

More than 1,000 enterprises—like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, use Hightouch to run their marketing. Earlier this year we launched the Agentic Marketing Platform with two pillars:

• Agentic Advertising Studio. Agents analyze performance, competitor creative, and brand guidelines, then assemble ad concepts across Meta, Google, TikTok, and LinkedIn.
• Agentic Lifecycle Studio. Agents identify lifecycle opportunities, draft audiences, assemble on-brand email and SMS campaigns, and orchestrate them through Braze, Iterable, Salesforce, and Adobe.

Advertising covers paid media. Lifecycle covers email, SMS, and push. Agentic Personalization is the third pillar: what customers experience inside the website and mobile app. Different buyer (product and growth teams), different workflow (real-time experimentation), different technical surface (browser SDKs and edge delivery). Same agent infrastructure and data foundation.

What no competitor can replicate:

• Agent orchestration. 25+ specialized skills for audience building, content generation, campaign analysis, and multi-step workflow coordination.
• Content assembly. Agents search existing asset libraries for reusable on-brand content before generating anything new, which is what makes output trustworthy enough for enterprises to ship.
• Marketing and brand context. Persistent layer connecting customer data, brand guidelines, creative assets, and performance history so agents operate grounded in how the business works.
• Real-time data infrastructure. Low-latency personalization API, sub-second audience evaluation, ML-powered optimization and recommendations, event pipeline processing millions of events daily.

The Role

Founding Product Manager for Agentic Personalization: Hightouch's third major pillar and biggest new investment. You define the product, the sequencing, and the go-to-market.

• Customer discovery. Deep engagement with product and growth teams at enterprise companies to understand how they personalize web and mobile today, and what would earn their trust in an agent-driven approach. Translate into a roadmap tied to revenue milestones.
• Define the agent experience. What agents do autonomously (segments, variants, experiments, traffic allocation) vs. what needs human approval (production launches, brand-sensitive content). Design the feedback loop that builds trust over time.
• Scale the GTM. Co-own pipeline, join customer calls, shape competitive positioning, partner with CS on implementation playbooks.

High-visibility role working directly with founders and executive team.

What We're Looking For

• Zero-to-one track record. Products you built from nothing to meaningful revenue, ideally at a B2B SaaS company. Domain matters less than evidence you can find product-market fit under uncertainty.
• Technical depth. Can evaluate architectural tradeoffs, debate infrastructure decisions with senior engineers, and reason about things like batch vs. real-time and caching strategies at the level of product decisions.
• Commercial instinct. Think in terms of pipeline, conversion, and expansion. Build roadmaps that map to revenue targets.
• Speed. Small team, high autonomy, tight cycles. We use AI heavily in our own workflows.
• Cross-functional trust. This spans engineering, design, sales, CS, and leadership. You drive clarity from ambiguity.

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $240,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

About Hightouch

Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.

Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.

Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.

About the Role

We are looking for a Staff AI Productivity Engineer to accelerate how our engineering organization works with AI coding tools. This is a hands-on technical role focused on building infrastructure, tooling, and documentation that makes AI agents dramatically more effective across our codebase.

AI tools are evolving rapidly, and we believe the companies that invest in making agents truly productive - not just available - will have a significant advantage. You'll own this problem end-to-end: from setting up cloud development environments where agents can run autonomously, to building MCP integrations that give agents access to our internal systems, to creating the documentation and context that helps agents understand how we build software.

You’ll have the hands-on acumen to do a lot of the heavy lifting yourself and the leadership skills to drive cross-team efforts to raise the bar everywhere. This role is a companion role to our Developer Productivity role but has a distinct focus: while Dev Productivity owns the build/test/deploy pipeline, you'll own the AI-assisted development experience. An exceptional candidate could wear both hats.

Some of the problems we’ll be working on include:

• Own the agentic development environment: Ensure agents can operate in independent cloud-based development environments, execute our full test suites, examine build results visually, etc
• Build our tooling integrations: Build MCP server integrations that connect our agents to the systems needed to build and debug software, such as CircleCI, Slack, Datadog, Github, etc
• Documentation and context: Own our repo-wide agents.md file and work with teams to ensure our library of agent guidance and skills is continually pushing the bar. Ensure our conventions and package structures are exposed in ways that agents can effectively use
• Enablement: Work with our engineers to understand where agents are struggling and address root causes such as better docs, tooling access, etc. Develop tooling for non-engineers to make simple visual updates to our application
• Serve as a “PM” for internal AI agents: Consistently keep us on the leading edge of AI productivity trends by staying abreast of what is state-of-the-art in industry and driving those improvements across Hightouch

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

About You

You are an engineer with a passion for solving hard technical problems that generate real value for customers. You’re motivated by high ownership and are comfortable in a fast-paced, startup environment.

Must have

• Strong software engineering fundamentals—you can dive into complex backend code and understand it quickly
• Deep hands-on experience with AI coding agents (Claude Code, Cursor, Copilot, Devin, or similar)
• Experience writing effective agent documentation, custom instructions, or context files that meaningfully improved agent output
• Track record of building developer tools or infrastructure that other engineers actually use
• Comfortable working across the stack: you'll touch CI/CD, cloud infrastructure, internal tooling, and application code

Nice to have

• Experience building or contributing to MCP servers or similar agent-tooling integrations
• Background in developer productivity, platform engineering, or developer experience roles
• Experience with our stack: TypeScript/JavaScript monorepos, Go, GraphQL
• You've set up sandboxed or containerized development environments at scale

Interview Process

Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don’t ask you to write code to solve technical brainteasers that don’t appear in your day to day job.

• Apply: Curl jobapi.hightouchdata.com on port 13784 and have followed those instructions before applying. It'll only take a minute!
• Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit
• System Design Screen [45m]: Designing a data processing feature end-to-end
• AI Skills Interview [60m]: We’ll dive into how you leverage AI and how you’ve helped others do the same
• Hiring Manager Interview [45m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles
• System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical

About the Role

This role is for someone who wants to own the technical win. As an Enterprise Solutions Engineer at Hightouch, you will partner with your Account Executives to drive the full technical sales motion from deep discovery and architectural solutioning to tailored product demonstrations and rigorous technical validation. You will own relationships with technical champions, co-develop account strategy, and guide customers to our solutions by navigating complex, multi-stakeholder buying committees and running competitive enterprise sales cycles. We leverage a disciplined value-selling motion, and are looking for deep experience in enterprise sales cycles where you have had to earn the technical win, not assume it.

Hightouch sits at the intersection of two powerful technological shifts: the rise of agentic AI and the maturation of the cloud data warehouse. We are solving real, complex problems at the intersection of marketing and data. As a senior SE, you will become a product expert, a trusted advisor to enterprise buyers, and a meaningful contributor to a team that is still early in building something significant.

What You’ll Do

• Lead technical discovery to deeply understand a customer’s data architecture, marketing workflows, and business objectives; and translate that into differentiated requirements and a compelling solution design.
• Design and deliver tailored product demonstrations and architectural solutions spanning Hightouch’s Customer Studio, Identity Resolution, Match Booster, and Agentic Marketing Platform.
• Run proof-of-concept engagements end-to-end: scoping, designing, executing, and validating with the discipline and rigor required to close complex enterprise deals.
• Build deep technical relationships with data engineers, architects, and marketing technologists becoming their trusted advisor.
• Navigate complex buying committees, engaging confidently with technical teams, marketing leaders, and C-suite executives

What Success Looks Like

Quickly build technical expertise, moving from foundational product, use case, and demo fluency in the first three months to independently closing deals and solving complex, multi-product problems within six months. You will begin contributing beyond your own deals and raising the collective bar for the team within a year.

What We’re Looking For

Required

• 5+ years of progressive enterprise pre-sales or solutions engineering experience, including complex solution architecture across multi-stakeholder buying cycles.
• Demonstrated ability to lead technical discovery, architectural whiteboarding, and solution design with both technical and business audiences, including C-suite stakeholders.
• Deep familiarity with modern data ecosystems: cloud data warehouses, data modeling, data engineering, integrations, and APIs - and the ability to navigate a customer’s data architecture confidently without needing to be a hands-on practitioner.
• Proven ability to build technical champions and influence complex buying committees across engineering, marketing, and executive levels.
• Experience in competitive enterprise sales motions. Familiarity with MEDDPICC, Command the Message, or equivalent value-selling frameworks is a strong plus.
• Intellectual curiosity, high ambition, and humility. You want to keep getting better, and you are honest about what you do not yet know.
• A team-first orientation where you elevate the people around you, operate within shared frameworks and processes, and measure yourself by more than your own quota.

Bonus

• Hands-on experience with Customer Data Platforms (CDPs), Marketing Automation, Data Warehouses, or similar technologies at the integration, architecture, or use case level.
• Background collaborating with data engineering, science, or analytics teams, either as a customer or in a prior role.
• Experience in a high-growth B2B SaaS company scaling through a significant inflection point.

Why Hightouch

We are building something that has the potential to redefine how companies use data to drive marketing outcomes. We’ve doubled in size each of the last three years, earned recognition as a Gartner Magic Quadrant leader in CDP, and have been acknowledged in the top 10 of the Forbes Best Startups list the last two years.

Beyond the market position and the customer list, what makes this team worth joining is the culture and values. Two core values exemplify how this team operates:

Forever Hungry — We are ambitious and we celebrate wins, but we are never fully satisfied. We are always looking for ways to push further, move faster, and do more for our customers and each other.

Raising the Bar — We have high expectations for performance and believe in having exceptional talent in every position. We look deeper than credentials, prioritize trajectory over pedigree, and invest in people who make everyone around them better.

As a senior SE at Hightouch, you will have the autonomy to shape your territory, the product complexity to do technically meaningful work, and a team around you that makes it worth showing up for.

Compensation

On-Target Earnings: $190,000–$250,000 annually
Base Salary: $133,000–$175,000 annually

We also offer meaningful equity compensation in the form of ISO options, with early exercise and a generous 10-year post-termination exercise window.

* Travel required for customer and team engagements.

About the Role

This role is for someone who wants to own the technical win. As an Enterprise Solutions Engineer at Hightouch, you will partner with your Account Executives to drive the full technical sales motion from deep discovery and architectural solutioning to tailored product demonstrations and rigorous technical validation. You will own relationships with technical champions, co-develop account strategy, and guide customers to our solutions by navigating complex, multi-stakeholder buying committees and running competitive enterprise sales cycles. We leverage a disciplined value-selling motion, and are looking for deep experience in enterprise sales cycles where you have had to earn the technical win, not assume it.

Hightouch sits at the intersection of two powerful technological shifts: the rise of agentic AI and the maturation of the cloud data warehouse. We are solving real, complex problems at the intersection of marketing and data. As a senior SE, you will become a product expert, a trusted advisor to enterprise buyers, and a meaningful contributor to a team that is still early in building something significant.

What You’ll Do

• Lead technical discovery to deeply understand a customer’s data architecture, marketing workflows, and business objectives; and translate that into differentiated requirements and a compelling solution design.
• Design and deliver tailored product demonstrations and architectural solutions spanning Hightouch’s Customer Studio, Identity Resolution, Match Booster, and Agentic Marketing Platform.
• Run proof-of-concept engagements end-to-end: scoping, designing, executing, and validating with the discipline and rigor required to close complex enterprise deals.
• Build deep technical relationships with data engineers, architects, and marketing technologists becoming their trusted advisor.
• Navigate complex buying committees, engaging confidently with technical teams, marketing leaders, and C-suite executives

What Success Looks Like

Quickly build technical expertise, moving from foundational product, use case, and demo fluency in the first three months to independently closing deals and solving complex, multi-product problems within six months. You will begin contributing beyond your own deals and raising the collective bar for the team within a year.

What We’re Looking For

Required

• 5+ years of progressive enterprise pre-sales or solutions engineering experience, including complex solution architecture across multi-stakeholder buying cycles.
• Demonstrated ability to lead technical discovery, architectural whiteboarding, and solution design with both technical and business audiences, including C-suite stakeholders.
• Deep familiarity with modern data ecosystems: cloud data warehouses, data modeling, data engineering, integrations, and APIs - and the ability to navigate a customer’s data architecture confidently without needing to be a hands-on practitioner.
• Proven ability to build technical champions and influence complex buying committees across engineering, marketing, and executive levels.
• Experience in competitive enterprise sales motions. Familiarity with MEDDPICC, Command the Message, or equivalent value-selling frameworks is a strong plus.
• Intellectual curiosity, high ambition, and humility. You want to keep getting better, and you are honest about what you do not yet know.
• A team-first orientation where you elevate the people around you, operate within shared frameworks and processes, and measure yourself by more than your own quota.

Bonus

• Hands-on experience with Customer Data Platforms (CDPs), Marketing Automation, Data Warehouses, or similar technologies at the integration, architecture, or use case level.
• Background collaborating with data engineering, science, or analytics teams, either as a customer or in a prior role.
• Experience in a high-growth B2B SaaS company scaling through a significant inflection point.

Why Hightouch

We are building something that has the potential to redefine how companies use data to drive marketing outcomes. We’ve doubled in size each of the last three years, earned recognition as a Gartner Magic Quadrant leader in CDP, and have been acknowledged in the top 10 of the Forbes Best Startups list the last two years.

Beyond the market position and the customer list, what makes this team worth joining is the culture and values. Two core values exemplify how this team operates:

Forever Hungry — We are ambitious and we celebrate wins, but we are never fully satisfied. We are always looking for ways to push further, move faster, and do more for our customers and each other.

Raising the Bar — We have high expectations for performance and believe in having exceptional talent in every position. We look deeper than credentials, prioritize trajectory over pedigree, and invest in people who make everyone around them better.

As a senior SE at Hightouch, you will have the autonomy to shape your territory, the product complexity to do technically meaningful work, and a team around you that makes it worth showing up for.

Compensation

On-Target Earnings: $190,000–$250,000 annually
Base Salary: $133,000–$175,000 annually

We also offer meaningful equity compensation in the form of ISO options, with early exercise and a generous 10-year post-termination exercise window.

* Travel required for customer and team engagements.