We are currently seeking a Senior Airbags Engineer. This position requires an experienced professional in restraint system development. Our ideal candidate exhibits a can-do attitude and approaches his or her work with vigor and determination.

Candidates will contribute to the growth of a high-performance team, combining their high skills in their respective fields with the company/industry standard to optimize their outcome, maintaining detailed and accessible development history, exposing their Engineering judgements, while acting in a timely manner, possessing the ability to learn quickly and strive for perfection within a fast-paced environment.

Role

o Develop various airbags and their integration in the vehicle across the whole product lifetime: from system specification development, sourcing, packaging, drawing release, design validation, sub-system(1) integration, ramp up, manufacturing support to post SOP maintenance.

o Responsible for achieving product technical excellence as well as economical, timing and quality targets.

o Improve the airbags commodity knowledge-based activities like teaching, feeding the guidelines and lessons-learned system, identify needs for future platforms, etc…

o Work closely with the design studio, ergonomic, BIW and interior engineering teams to develop the optimum restraint system packages for occupant protection performance and interior styling.

o Manage Tier 1 suppliers for both engineering development and program timing. Function as the main point of contact for all restraints design supplier interfaces.

o Manage validation plan and test labs for sub-system integration. Supervise and occasionally perform the validation plan including the preparatory activities (parts

deliveries, supervising test preparation and execution, logistic, parts inventory, etc…) for sub-system integration tests, attend testing, perform test analysis, make report and manage troubleshooting action plan when needed.

o Provide expertise on restraint system design to meet all vehicle targets (performance, cost, timing, weight, Studio design, quality, manufacturing, etc…).

o Support crash tests and vehicle homologation. Make sure parts are supplied with correct pedigrees for all crash test vehicles and other vehicle level validation and homologation needs.

Qualifications:

o Enough experience to demonstrate the capacity to fully meet the role; 3+ years’ experience in airbag engineering and in-depth knowledge about the design, including 1 year experience specifically related to Curtain Airbags, direct experience in automotive OEM and/or Tier 1 suppliers.

o Able to adopt the Lucid approach:

§ Engineering judgment rather than engineering decisions.

§ Maintain development history rather than making spot decisions.

§ Willing to expose your work, rather than working in isolation.

o Knowledge of latest technology advancement in the field of passive safety.

o Enough CAD skills to package the component models into vehicle models, check interfaces with the rest of the vehicle and make or recommend small modifications if necessary. The ideal candidate should possess enough CAD skills to design simple brackets, fixtures, etc.

o Deep understanding of Mechanical Engineering fundamentals: mechanics of materials, materials properties, dynamics, and biomechanics related to occupant safety, failure mechanics.

o Strong analytical and problem-solving skill to apply the engineering knowledge to solving practical problems.

o Experience using APQP processes (DVP&R, 8D, DFMEA, DRBFM).

o Experience using GD&T and tolerance stack analysis (ASME or ISO).

o Strong oral and written communication skills to be able to articulate highly technical issues for general audiences not in the crash safety field, such as top management, design studio, purchasing team, etc.

o Strong ownership mindset to work independently and fulfill the tasks in a timely manner.

o Excellent people skills to manage suppliers, push the envelope to develop optimal technical solutions, ensure timely delivery of all components.

o Have strong ethics and diligence.

Preferred:

o Knowledge of the latest technological advancement in the field of Airbags.

o In-depth knowledge about the design and engineering of airbags.

o 3+ Years’ experience at automotive OEM and 2+ years’ experience at Tier 1 suppliers.

o Knowledgeable about DFMEA or DRBFM process.

o Experience in program management.

o Experience in testing (crash, airbag deployment, seats, IP and/or upper trims).

o Knowledge of automotive crashworthiness legislation and attributes.

o Knowledge of CAE analysis (e.g., LS-Dyna) and restraint system integration and optimization.

o 6 sigma Green or Black Belt.

Education:

o Bachelor’s degree and above in Mechanical Engineering or other related fields

At Lucid, we don’t just welcome diversity – we celebrate it! Lucid Motors is proud to be an equal opportunity employer. We are committed to providing employment opportunities without discrimination based on race, colour, national or ethnic origin, religion, age, sex (including pregnancy), sexual orientation, gender identity or expression, marital or family status, disability, genetic characteristics, or any other characteristic protected under applicable federal or provincial laws. We value diversity and inclusion and encourage applications from women, Indigenous Peoples, persons with disabilities, and members of visible minorities. If you require accommodation during the recruitment process, please let us know.

THE ROLE:

Are you passionate about driving innovation in the data storage industry? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer to join our dynamic team. 

As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring Everpure solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.

WHAT YOU’LL DO:

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
• Take control of evaluations,  benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Everpure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING:

• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Previous experience with Linux, NFS file systems and Linux distributed network environment
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Familiarity with AWS, Azure, GCP, containers, k8s and microservices architectures a plus
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable
• Excellent verbal and written interpersonal skills

#LI-REMOTE

#LI-JL4

The Roblox Vision

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the platform that empowers our community to bring any experience imaginable to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility.

Why Join Our Rendering Team?

Roblox is seeking an experienced and passionate senior engineering manager to lead a team of talented engineers building cutting edge rendering technology.

The rendering team at Roblox is at the heart of how millions of creators and players experience our platform. We are a group that is highly passionate about pushing the boundaries of visuals, scalability and performance. We develop our in-house engine and are in control of our entire technology stack, from the rendering pipeline, the lighting techniques, the material system, the voxel terrain to the VFX system and the server infrastructure. 

Roblox continues to tackle an unprecedented scalability challenge: to allow User Generated Content to take advantage of high end devices while scaling all the way down to low end mobile devices, across a vast array of platforms and genres. Our technology stack and features must allow Creators to express their amazing vision and we must cater to Creators that range from professional developers to enthusiastic newcomers. Our engine must be capable of producing visuals that  look great on high end devices while preserving their intent on low end devices.

The Roblox platform has an immense reach. Our work makes it into the hands of hundreds of millions of users all over the world.

You will:

• Lead and mentor a world-class team of rendering engineers focused on one of the following pillars:
• The core rendering pipeline, culling and dispatching systems, graphics APIs backends (Vulkan, Metal, Direct3D, agc, OpenGL) and related systems.
• The Lighting, shading, materials, global illumination, and post-processing systems.
• Act as a hands-on technical leader, providing guidance on architectural decisions and implementation, from low-level details to high level choice of algorithms, and ensuring the stability and efficiency of our technology stack.
• Partner with your team and other engineering leaders to define and execute the vision for the core rendering technology, anticipating future needs and trends, and ensuring our plans are aligned with the company vision.
• Foster a culture of innovation, continuous improvement, and open communication, where all ideas are valued and explored, and invest in the development of our engineers.
• Help build and expand our rendering organization by attracting, interviewing, and retaining top-tier engineering talent.

You have:

• 15+ years of rendering or graphics engineering experience, with a deep understanding of one or both of the following:
• Low-level rendering pipelines, GPU architectures (preferably including mobile), and graphic APIs (e.g., Vulkan, Metal, DirectX)
• Modern lighting techniques (e.g., PBR, shadowing, global illumination), material systems, and shading languages.
• 5+ years of experience in a technical leadership or engineering management role, with a proven track record of building, mentoring, and leading high-performing engineering teams.
• Strong C++ programming skills and a robust problem-solving background, with the ability to provide technical guidance, conduct deep-dive investigations, and contribute to design discussions.
• Experience designing, building, and shipping advanced graphical features and/or performance critical systems for game engines or real-time 3D applications.
• Strong communication and interpersonal skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences and collaborate effectively across diverse teams.
• A genuine enthusiasm for tackling the unique rendering challenges that Roblox faces.

Position Summary

We are seeking an experienced and motivated Software Engineer to join our dynamic Site Reliability Engineering (SRE) team. As a Site Reliability Engineer,  you will play a crucial role in enhancing the reliability, performance, and scalability of our systems and services. You will be a part of a global “commando” team of highly skilled SREs, driving best practices and innovations  for optimal system operations, while protecting critical companies’ systems in real time. 

Why join Tipalti?

Tipalti is the AI-powered platform for finance automation, elevating how finance teams operate in the global economy. We empower our customers to scale faster and smarter by removing the complexities of doing global business and accelerating their finance operations efficiency. Our platform provides a comprehensive suite of finance automation solutions designed for mid-market businesses across accounts payable, global payouts, procurement, employee expenses, corporate cards, supplier management, tax compliance, and treasury. Tipalti partners with leading financial institutions such as Citi, Wells Fargo, J.P. Morgan, and Visa, enabling over 5,000 global companies to efficiently and securely pay millions of suppliers and payees across 200+ countries and territories, in 120 currencies.

At Tipalti, we pride ourselves on our collaborative culture, the quality of our product and the capabilities of our people. Tipaltians are passionate about the work they do, and keen to get the job done. Tipalti offers competitive benefits, a flexible workplace, career coaching, and an environment where diverse individuals can thrive and make an impact. Our culture ensures everyone checks their egos at the door and stands ready to reach for success together. 

Founded in Israel in 2010, Tipalti is a global business headquartered in the San Francisco Bay Area (Foster City) with offices in Tel Aviv, Plano, Toronto, Vancouver, London, Amsterdam, Tbilisi and Medellin.

In this role, you will be responsible for:

• Driving incident response and post-mortem processes, fostering a culture of continuous improvement. 
• Designing, building and improving internal tools and automation software to make maintaining production services easier and safer.
• Lead reliability-focused practices such as SLO (Service Level Objective) design and implementation, Failure Analysis, Load and Capacity Planning, Service Reviews, Architecture Designs, Incident Postmortems, and others. 
• Participate in the on-call rotation, providing expertise and support during critical system incidents and ensuring timely resolution.

About you 

Required:

• Minimum 4+ years of Software Engineering experience with .Net, Typescript.
• Knowledge of architecture and application design experience.
• Solid troubleshooting and debugging skills.
• Excellent verbal and written communication skills in English. 

Preferred:

• Experience working on large-scale, high-traffic platforms.
• Basic understanding of some of the lower levels of software frameworks and networking.
• Distributed monitoring experience with logging, metrics and tracing using OpenTelemetry and  Prometheus. 
• Additional scripting languages: bash, powershell, python
• Previous experience working as SRE
• Experience with working in a cloud driven environment (AWS, GCP, Azure)

Our benefits package includes:

• Hybrid working model that requires you to be in office Monday, Tuesday, and Thursday
• Competitive salary and equity
• Matching RRSP
• Extended benefits, Employee Assistance Program, life insurance, AD&D, LTD
• Maternity, Paternity and Fertility Treatment benefits
• 15 days of PTO
• Free lunch on office days
• Fresh fruit, snacks & drinks in office
• Phone/internet allowance 
• Regular company-wide social events
• Multiple ERG groups celebrating our diversity and creating an inclusive culture

Tech at Tipalti 

Our tech teams are the engine behind our business. Tipalti’s tech ecosystem is extremely rich and we continually add new features to our products, ensuring that we respond to our clients’ needs at scale. Our tech teams retain a fast-paced, start-up vibe that encourages innovation and critical thinking. At Tipalti, you’ll have the opportunity to work with a diverse, global team of engineers, developers and product leaders who are collectively building the future of our best-in-class product suite as we transform financial operations for the future.

Base Salary Range: $100,000 - $125,000 CAD annually.

The compensation information, above, reflects our reasonable expectation for this role based on several factors, including current market conditions. Final compensation will be determined through individual assessment of experience, skills, qualifications, and other job-relevant factors. Actual offers may vary within or, only in exceptional circumstances, outside the stated range based on the candidate's unique qualifications and our comprehensive evaluation process. We are committed to equitable compensation practices in compliance with applicable employment laws.

Position Summary:

IEM is currently seeking a Supplier Quality Engineer for our Surrey, B.C. locations and will report into the Director of Quality. The top priorities of this position will be to develop and maintain strong relationships with suppliers and vendors, as well as implement Vendor Management program and supporting metrics. Significant involvement with all areas of vendors/suppliers and manufacturing, while also increasing our communication and collaboration with key departments is instrumental in this position.

Please note: This position requires 100% in-office presence in our Surrey offices and does not offer remote work.
 

 ESSENTIAL FUNCTIONS:

• Ensuring suppliers for IEM maintains all regulations and requirements
• Updating the supplier database with continuously updated records of performance
• Creating quality control guidelines and protocols
• Providing advice to vendors on how to reduce defect rates
• Performing logistics tasks, such as communicating with vendors when supplies don’t meet quality standards
• Assessing products and supplies from vendors to ensure their quality
• Creating and promoting strategies to increase the quality and efficiency of systems and products
• Conducting audits of supplier management quality systems
• Acting as a liaison between vendors and company leaders, determining solutions to any challenges to quality standards
• Visiting vendor facilities to ensure they uphold quality standards
• Developing and maintaining relationships with suppliers and vendors
• Oversee and develop process improvements strategies and document
• Develop & implement Vendor Management program and supporting metrics
• Any other related duties in connection with the position including but not limited to:
• Risk Assessments, PFMEA, Six Sigma, 5S, FOD Prevention, Kaizen, IPC Standards
• Understanding of UL, CSA and other regulatory requirements
• Must abide by Health and Safety Rules and have demonstrated commitment to good housekeeping/organizational practices
• Responsible for compliance to company and regulatory standards
• Maintain and develop strong working relationships with other departments outside vendors
• Strive for continuous improvement in all aspects of the work environment, this includes active participation in company committees, project teams and relevant job training
• Commit to self-development goals as discussed with your Vice President and attend company-sponsored training
• Perform other duties as assigned by Vice President
• The candidate will be expected to perform additional duties as assigned to support the team and organization

COMPETENCIES:

• Verbal and written communication proficiency
• Attention to detail
• Thorough compliance knowledge
• Organizational and time management skills
• Reliable with a respect to confidentiality
• Quality management systems
• Root-cause analysis
• Quality Control
• Technical Skills
• Quality Engineering
• Collaboration
• Statistics
• Continual improvement process
• Supply chain experience
• Quality Assurance

EDUCATION AND EXPERIENCE:

• Diploma in relevant field with work experience
• Related experience on Infor Syteline ERP systems
• Advanced proficiency of Microsoft Office applications (Access, Outlook, Excel and PowerPoint)
• Excellent verbal and written communication skills
• Ability to multi-task and prioritize in a fast-paced manufacturing environment
• Understanding of Mechanical Engineering and/or Electrical Engineering and/or Materials Engineering
• Demonstrated career ambition with a track record of growth and increasing responsibility; highly promotable with the potential to take on broader leadership roles within a fast-paced, high-growth organization

PHYSICAL/MENTAL/ENVIRONMENTAL:

Physical Demands:

Activities: Sitting – 70% Walking/Standing – 30% Travel – 30%

Lifting: Must be able to lift up to 10lbs.

Vision: Long periods of close work on computer screen.

Mental Demands: Interpret, analyze, research and handle multiple tasks simultaneously.

Environment: Climate controlled office space 70% with 30% in production areas.

Compensation: The hourly pay range for this position is C$ 32.21 - C$ 56.25

IEM is currently seeking a Quality Engineer - Customer Account Manager for our Jacksonville, FL or Surrey, B.C offices and will report into the VP of Quality & Reliability. As a Quality Engineer – Customer Account Manager, you will be the primary point of contact for the Customer and Commercial Teams about quality-related issues. Collect root cause analysis data and provide corrective feedback due to quality issues. Responsible for ensuring that the products produced meet quality standards required to minimize quality costs and maximize customer satisfaction whilst ensuring that procedures and processes are adhered to. Ensure incoming materials meet required quality standards. Support new product introductions to ensure the robustness of product. Work in a team environment to develop and implement best practices that emphasize defect prevention, reduction in variation and waste and provide for continuous improvements in meeting all customer requirements. Manage the customer specific requirements and coordinate technical support. Work on many phases or sub-tasks of projects or entire projects of moderate complexity, with results impacting on project completion. Work mostly independently under general supervision, reviewed at project milestones and/or on completion by Senior Management.

Please note: This position requires 100% in-office presence and does not offer remote work.

Key Responsibilities:

• Build strong, working relationships with customer and in-house commercial teams to ensure complete and transparent communication and support.
• Coordinate activities to evaluate and resolve sometimes technically challenging engineering and quality-related problems encountered in the customer’s facility
• Determine and collect relevant data for product and installation improvements to understand any problems and decide when to appropriately escalate issues
• Investigate reports of defective, damaged or malfunctioning parts, assemblies, equipment or systems to determine nature and scope of problem that the customer is experiencing
• Initiate containment of stock at all locations and prevent further nonconforming production
• Investigate the fault and extent of potential recall
• Examine defective part for conformance to engineering design drawings or specifications
• Identify anomalies on engineering drawings back to the design function
• Maintain records to oversee recording of information by others to ensure engineering drawings and documents are current and that engineering related production problems and resolutions are documented
• Provide feedback to company on what the issues are
• Evaluate findings to formulate corrective action plan and coordinate implementation
• Control clean cut-offs throughout and ensure containment is managed while on-going corrective actions are implemented
• Organize any re-work of finished goods that may be necessary
• Report into the customer what the root causes were to quality issues, the containment measures and corrective actions taken to ensure resolution
• Review engineering specifications, orders and related information to maintain current knowledge of manufacturing methods, procedures and activities
• Assist with training of quality awareness
• Monitor and report on Key Performance Indicators (KPIs) in order to adhere to process and prevent occurrence of any non-conformity relating to product, process or system
• Assist with new product introduction, representing the customer and support and manage pre-production trial runs and first off sample approvals
• Promote the use of customer preferred techniques for continuous improvement such as Six-Sigma, Poka-Yoke (Error Proofing), Kaizen
• Participate in the development and refinement of Design and Process FMEA’s (Failure Mode and Effects Analysis) and represent the customer’s views
• Manage and coordinate customer PPM, DO, DPU, cost recovery and supplier warranty indicators
• Keep up with current and developing manufacturing and engineering trends that concern the customer’s product
• Contribute to continuous improvement activities
• Quality control of work by appropriate reviews
• Support and lead process improvement activities
• Write reports and present progress at project meetings and to clients
• Plan projects or subtasks so they may be tracked and presented
• Perform root cause analysis and resolve problems
• Provide advice and guidance to management teams as required
• Provide support to all internal departments to maintain and improve product quality
• Communicate efficiently with IEM and customer’s management
• Liaise and communicate with other departments, customers, and other service providers
• Participate in cross-functional teams in the development of new products or changes related to current products in meeting customer requirements
• Develop quality relationships with the customer
• Comply with the Health, Safety and Environmental Policies both in-house and at the customer
• The candidate will be expected to perform additional duties as assigned to support the team and organization

Qualifications:

• Bachelor's in Business/Commercial or Manufacturing/Engineering degree preferred
• Minimum of 5 years of experience in Quality Assurance
• Demonstrated experience of 3 to 5 years in engaging with customers and suppliers
• Previous experience in a manufacturing environment
• Ability to work independently with minimal supervision
• Proficient in 8D, CARs, and quality systems
• Knowledgeable in Lean Manufacturing, APQP, PPAP, FMEA
• Familiarity with ISO9001
• Understanding of engineering drawings and manufacturing processes
• Adaptability to diverse and dynamic environments
• Strong planning and prioritization skills
• Effective communication, negotiation, and presentation abilities
• Proficient problem-solving skills
• Understanding of Health and Safety practices
• Team player with analytical skills
• Awareness of cost and financial impacts
• Commercial and financial awareness is advantageous
• Understanding of customer expectations and of quality failure/cost
• Demonstrated career ambition with a track record of growth and increasing responsibility; highly promotable with the potential to take on broader leadership roles within a fast-paced, high-growth organization

Compensation actually offered for this role will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. 

[Surrey, B.C. Compensation Range: CAD 34.62/hr - 56.25/hr] 
[Jacksonville, FL Compensation Range: $85,000 - 125,000] 

The IP Product Team is where deep tech meets big-picture strategy. We’re the bridge between engineering brilliance and real-world impact — defining how our core IP comes to life and gets delivered to customers.

We’re looking for an Intern who loves technology and wants to learn how world-class intellectual property (IP) gets transformed into world-changing products. You’ll collaborate with engineers, product managers, and cross-functional teams to help shape the future of Tenstorrent’s RISC-V CPU and AI IP portfolio.

This role is remote, based out of the U.S. or Canada.

Who You Are

• Currently enrolled in an Engineering, Computer Science, Business, or related undergraduate program.
• Have exposure to engineering concepts or environments — you can follow (and enjoy!) a technical conversation, even if you’re not an engineer yourself.
• Have experience or a strong interest in program management, operations management, especially where technology and strategy intersect.
• A clear and confident communicator who loves translating technical detail into actionable insight.
• Highly organized, curious, and ready to take initiative in a fast-moving environment.
• Excited by semiconductors, RISC-V, AI, and the process of turning cutting-edge ideas into products that scale.
• Skilled in applying AI technology to automate, generate, analyze data.

What We Need

• Support in defining and maintaining product documentation, roadmaps, planning and release materials for Tenstorrent IP.
• Coordinate with engineering and product management teams to ensure alignment on milestones and deliverables.
• Assist in gathering and analyzing data to support product decisions and reporting using AI tools.
• Help manage internal tools and processes for IP lifecycle management and customer documentation.
• Participate in cross-functional meetings to capture action items and help drive follow-up execution

What You Will Learn

• How semiconductor IP is developed, tracked, and released at scale.
• The art and science of program management and operations in the world of RISC-V CPUs, AI and hardware innovation.
• Best practices and applying AI in documentation, communication, and product lifecycle management.
• Deep insights into RISC-V architecture, AI accelerators, and the technology shaping the future of compute.

Tenstorrent is seeking a Signal Integrity Engineer to join our growing team. The ideal candidate will have a wealth of exposure designing high speed interconnects, breakout design, material trade-offs and verification. A background in electrical engineering, electronics or relevant fields is required. Must love all things high speed!

This role is hybrid, based out of Santa Clara, CA or Austin, TX or Toronto, ON.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• You have a Bachelor’s degree in Electrical Engineering (or equivalent) and 5+ years working in high-speed digital design with a focus in high-speed PCB or package design at 10Gbps and above (e.g. 100GbE, GDDR6, PCIe Gen5+).
• You’re comfortable working with high-speed performance metrics such as ICR, ERL, COM, NEXT, and FEXT as well as knowledge of high-speed connector technologies, including NPO, CPO, and emerging standards.
• You are proficient with PCB ECAD tools (ideally Cadence Allegro).
• You communicate clearly (written and verbal), think critically, and love solving complex signal integrity problems.
• You’re enthusiastic about all things high speed and enjoy collaborating across teams

What We Need

• Design, extract, and simulate complex breakout structures, including end-to-end simulations and validation against physical hardware. Perform simulation and extraction of board models for both SI and PI.
• Contribute to design and sign-off with internal and external ASIC packaging teams, ODMs, and internal layout teams. Create design specifications, work with external vendors, and drive adoption of new interconnect and packaging technologies.
• Actively participate in design reviews, providing insight from your SI/PI expertise and a broader system perspective.
• Support post-silicon bring-up and help troubleshoot production and field failures related to signal and power integrity. Document design processes and provide training/knowledge sharing to other team members.

What You Will Learn

• How to work at the cutting edge of high-speed interconnects, influencing the next generation of ASIC packaging and PCB architectures.
• Deep exposure to advanced ASIC packaging flows and collaboration models with internal and external packaging teams.
• Hands-on experience with emerging high-speed connector technologies and materials, including evaluating material trade-offs for performance and manufacturability.
• Best practices for end-to-end SI/PI validation, from simulation through to lab correlation, post-silicon bring-up, and field failure analysis.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

The Company: 

impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products—Performance (affiliate), Creator (influencer), and Advocate (customer referral)—unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands, including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics, rely on impact.com to power more than 225,000 partnerships that deliver measurable business results.

Your Role at impact.com:

As a QA Engineer on the Platform & Enablement team, you'll be a key part of the team shaping how QA is done at scale across impact.com. While product squads focus on shipping their features, the Platform & Enablement team makes sure they have the frameworks, tooling, training, and reference patterns to do so with confidence — and you'll be the engineer making that happen for our US-region squads day-to-day.

You'll work closely with QA Analysts and SDETs across product teams, helping them adopt our shared frameworks, write better tests, and unblock when they hit walls. Your impact comes through their work as much as your own commits, but you'll have plenty of meaty engineering of your own: extending our internal testing libraries, producing the reference patterns and worked examples teams adopt, evaluating new tooling, and shaping the standards that keep our automation maintainable and trustworthy. You'll work across our primary tech stacks (Java/Selenium and Playwright/TypeScript) and help teams adopt modern practices, including AI-assisted testing approaches.

We value engineers who write clear, idiomatic code, communicate confidently, and genuinely enjoy helping others succeed. If you're energized by building things that make other people's work easier, this role is for you.

What You'll Do:

Test Platform Development

• Framework Contribution: Extend, refine, and contribute to our internal testing frameworks alongside the central platform team — adding capabilities that the broader QA org adopts.

• Reference Patterns: Produce worked examples and reference implementations that demonstrate the conventions product teams should adopt for their own automation.

• Tooling Evaluation: Help evaluate and implement tooling for the test platform stack — running proof-of-concepts, benchmarking options, and producing clear recommendations.

• Infrastructure Operations: Help operate and improve our shared testing infrastructure services — debugging issues, supporting consuming teams, and keeping things reliable.
  

Enablement & Training

• Workshop Delivery: Deliver hands-on workshops and training sessions on automation best practices, framework usage, and new tooling — tailored for QA Analysts and SDETs at varying skill levels.

• Knowledge Management: Build and maintain a centralized knowledge base — framework guides, coding standards, onboarding materials, worked examples, and FAQs.

• Pairing & Code Review: Pair with QA Analysts and SDETs across product squads on their own automation work; provide review feedback that raises the bar without slowing teams down.

• Technical Support: Be the first line of help for QA professionals when they hit blockers — flaky tests, broken CI runs, framework adoption snags, "how do I…?" questions.

Standards & Community

• Standards Adoption & Advocacy: Adopt, advocate for, and help product squads converge on our shared QA standards and conventions.

• Pattern Advocacy: When a product team's automation drifts from shared conventions, raise it constructively in code review and help them course-correct.

• Tooling Feedback: Provide thoughtful, hands-on feedback to the central platform team on what's working and what isn't — your real-world view from working alongside product squads is invaluable.

• Guild Participation: Active member of the QA Guild — contribute to shared channels, prepare content for meetups, and encourage knowledge sharing.

What You Bring:

• Hands-On Automation Experience: Solid, multi-year hands-on experience writing well-structured, maintainable test automation in one of our primary stacks (Playwright/TypeScript or Java/Selenium), with working familiarity in the other (enough to read it, contribute small changes, and reason about trade-offs).

• Test Design Thinking: Strong understanding of test design principles — comprehensive coverage, meaningful assertions, negative testing, and tests that verify actual application behavior.

• Code Quality Discipline: The discipline to write and review clean, production-quality code that others can learn from and build upon.

• Code Review Instinct: A track record of reviewing other engineers' test code — spotting problems quickly, communicating fixes constructively, and raising the bar on a team's collective work.

• Communication & Pedagogy: Clear technical communication — you can write documentation that onboards others, explain technical decisions in plain language, and deliver training that lands across skill levels. You enjoy explaining things.

• Enablement Mindset: A genuine interest in helping others improve — you enjoy pairing, reviewing work constructively, and building materials that make the next person's job easier.

• Tooling Judgement: A thoughtful, opinionated relationship with your tools — you can articulate why a stack or approach is the right fit (or isn't) for a given problem, grounded in real experience.

• CI/CD Familiarity: Comfort with CI/CD integration and the infrastructure that supports automated testing at scale — enough to debug a broken pipeline alongside a product-team QA.

• AI Awareness: Familiarity with AI-assisted development tools and a willingness to explore how AI can improve testing workflows for the teams you support.

• Containerization: Experience with Docker and containerized test environments for consistent, reproducible test execution across local and CI environments.

Nice to have:

• Cross-Stack Depth: Strong working depth in both Playwright/TypeScript and Java/Selenium (rather than one primary + one familiar).

• Framework Authoring: Experience designing test frameworks from scratch (not just consuming and extending them) — packaging libraries for internal distribution, defining shared conventions, etc.

• Training Experience: Prior experience creating or contributing to training programs, workshops, or internal knowledge bases.

• Test Management Tools: Familiarity with test management tools and their integration into QA workflows.

• AI in Testing: Experience applying AI tools to enhance automation development, test creation, or defect analysis.

• Cross-Timezone Collaboration: Prior experience working as part of a globally-distributed team across multiple timezones.

Salary: $100,000.00 - $120,000.00 CAD per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant.*This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.

Benefits and Perks: 

At impact.com, we believe that when you’re happy and fulfilled, you do your best work. That’s why we’ve built a benefits package that supports your well-being, growth, and work-life balance.

• Strong extended health benefits: Health & Prescription coverage, vision and dental care, virtual health care, out-of-country medical coverage

• Insurance coverage (life, short-term disability, long-term disability, and more)

• Health Care Spending Account

• Two different Employee Assistance Programs

• Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life.

• Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health.

• A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval.

• Investing in Your Growth: We’re committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses.

• Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver.

• Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. 

Note: Benefits may vary by location and are subject to local regulations.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

The Role

We’re looking for a Senior Full-Stack Software Engineer with deep expertise in Next.js, TypeScript, PostgreSQL/Supabase, and AI-assisted development to design, build, and deliver the scalable, secure systems behind our cybersecurity platform.

This is a hands-on, product-focused role for an engineer who:

• Thrives at the intersection of secure software engineering, data-heavy systems, and product innovation
• Is fluent in AI tooling (Cursor, Devin, Copilot, etc.) and knows how to turn them into real velocity — not toys
• Can design full-stack solutions, think strategically about risk and performance, and help us move business logic closer to the data layer (Postgres + Supabase)

What You’ll Do

• Full-Stack Development: Build and maintain secure, scalable web applications using Next.js/React, TypeScript, and Node – backed by PostgreSQL on Supabase (and AWS RDS during migration). Own features end-to-end from UI to database.
• Database-Centric Application Logic: Design and implement business logic close to the data using Postgres functions, views, triggers, Row-Level Security (RLS), and Supabase Edge Functions, minimizing unnecessary middleware and enabling high performance and strong data isolation.
• AI-Accelerated Development: Treat tools like Cursor, Devin, GitHub Copilot, and agent frameworks as core parts of your workflow. You'll use them to scaffold and refactor full-stack features, generate and evolve schemas, migrations, and RLS policies and build internal agents that automate repetitive engineering tasks and glue systems together
• Application Security First: Embed security best practices into every layer of development — from secure coding and dependency management to data protection and authentication/authorization (Supabase Auth, OAuth2/OIDC, SSO). Collaborate with security researchers to ensure features align with threat models.
• Product Collaboration: Work hand-in-hand with product managers and designers to translate customer pain points into impactful, intuitive features. Participate in product discovery and help shape roadmaps with a strong technical and data-informed perspective.
• Architect & Scale: Design and optimize API contracts, edge endpoints, and event flows using Next.js (server components, API routes) and Supabase (Edge Functions, real-time). Consider performance, resiliency, and multi-region deployment (read replicas, data partitioning) as first-class concerns.
• Data Expertise: Model and optimize relational data in PostgreSQL for large, multi-tenant workloads. Own indexing strategies, query performance, and data partitioning approaches to support 10x–30x growth in customers and data.
• Security-Integrated DevOps: Support automated testing, CI/CD pipelines, database migrations, and vulnerability scanning throughout the development lifecycle. Work closely with infrastructure engineers on Supabase + AWS environments, observability, and performance tuning.
• Mentorship & Collaboration: Provide guidance and thoughtful code reviews to peers, fostering a culture of quality, security, and ownership. Help raise the bar on full-stack, data-centric, and AI-native engineering practices.
• Continuous Learning: Stay ahead of trends in AI-assisted engineering, agentic systems, application security, Next.js, and modern Postgres/Supabase practices, and share what you learn with the team.

What We’re Looking for

• Senior Full-Stack Engineer with experience building and shipping production web apps using Next.js/React, TypeScript, PostgreSQL, and a Node-based backend
• AI-native developer who regularly uses AI-assisted dev tools (e.g., Cursor, Copilot, Devin) to move faster, improve code quality, and explore design options, and knows when to verify output
• Strong backend and data modeling skills in Postgres; experience with Supabase (Auth, RLS, Edge Functions, migrations) or similar Postgres-based platforms is a plus
• Security-conscious engineer with a solid understanding of secure web application development, authentication/authorization, and modern security best practices; familiarity with software supply chain security or interest in learning quickly
• Experience deploying and operating applications in the cloud (ideally AWS), with working knowledge of Docker, CI/CD, and modern managed or serverless platforms
• Product-minded and collaborative, balancing technical rigor with user and business needs, caring about testing and maintainability, and communicating clearly in a remote, cross-functional team

Your 90-Day Success Path

• 30 Days: Ship small full-stack features in our Next.js + Supabase stack; learn our security and data architecture; demonstrate effective use of AI tools + agentic workflows in your day-to-day work.
• 60 Days: Own and deliver secure, high-impact features end-to-end; contribute to schema and API design; help refine patterns for RLS, migrations, edge functions, and internal AI/agent tooling.
• 90 Days: Lead new initiatives, drive improvements in performance and security posture, shape our full-stack and AI-native architecture, and mentor peers on Next.js, Supabase, and AI-accelerated development.

Our Tech Stack

• Languages: TypeScript, JavaScript, Python
• Frontend: Next.js, React
• Backend / Platform: Supabase (PostgreSQL, Auth, Edge Functions, Storage), Node/TypeScript services
• Data: PostgreSQL (Supabase + AWS RDS during migration), Redis
• Auth & Security: Supabase Auth, OAuth2/OIDC, GitHub, Trivy, Snyk
• Infrastructure: AWS, Docker, Kubernetes (for supporting services), modern CI/CD
• AI Tools: Cursor, Devin, GitHub Copilot, and modern agent frameworks where appropriate

Why Finite State?

• Be a part of building the leading platform for connected device cybersecurity.
• Join a fast-moving team that values transparency, innovation, and impact.
• Work fully remotely with a high degree of autonomy and ownership.
• Comprehensive Benefits
• Investment: We offer learning stipends to support your professional development
• Equity: We offer equity so you can share in our growth and success
• Help solve some of the most pressing cybersecurity challenges facing connected device  manufacturers and the millions of people who depend on them

Compensation

• Tier 1 (San Francisco, New York, Seattle): $227,000 - $270,000 
• Tier 2 (All Other Locations): $181,000 - $216,000

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

Web Presence and Platform is organized into two pillars, each of which is grouped into pods that focus on the central tenets of Stripe's public mission. The Presence pillar creates industry-leading designs for Stripe’s front door surfaces, educating customers about the power of our platform, sharing Stripe’s ideas and expertise with the public, and driving adoption. The Platform pillar builds the internal machinery that powers these surfaces, and is responsible for making our websites fast, stable, and easy to update.

Together we design and build stripe.com and other sites that amount to what is, for many, their first impression of Stripe. As such, WPP offers exciting opportunities to have a major impact on Stripe’s success. We want to make every pixel count, we want it to be enthralling, and we want to help other Stripes seamlessly benefit from our systematic work.

What you’ll do

As a Design Engineer you will concept, prototype, and build new experiences for our web presence. You’ll bring your creativity and expertise to the full range of the Stripe brand, across evergreen pages as well as time-based campaigns. You’ll both utilize and contribute to our libraries and design systems, and when appropriate work outside established systems to create new digital moments.  You’ll constantly have in-browser performance in mind, and create abstractions that other designers and engineers consume and build upon.

All Design Engineers in WPP have a shared commitment to user experience and craft, but each pod has subtly different focus areas. The Collective pod leverages design, animation, and interaction to drive awareness, educate prospective users, and share Stripe’s expertise across public surfaces such as Stripe.com, Link, and others. The Expansion pod brings the same creativity and executional rigor to attracting new prospects and driving conversion, focusing on user journeys, interactive and highly polished tools for users, and building targeted experiences for our global users.

As a Design Engineer on the Collective pod, you will help us continue to drive Stripe.com forward, bringing new experiences to life or refining existing content to inform prospective users about the company and its offerings. You will partner closely with designers, other engineers, and partners to execute and evolve the site, bringing technical craft and creativity to the expansive scope of Stripe’s web presence.

Responsibilities

• Collaborate with our team’s designers and partners to both create new experiences for and maintain Stripe.com
• Work closely with other design engineers, pairing, mentoring, and continually building a culture of excellence
• Prototype and implement web animations and interaction-heavy product launch materials 
• Build beautiful, best-in-class end-user experiences to solve complex problems
• Utilize, maintain, and extend our design systems
• Integrate our web platform with self-serve authoring and experimentation

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

• 3+ years of relevant web front-end development or creative technology experience at a tech-forward, product-driven company
• ​​Advanced knowledge of modern HTML and CSS
• Experience writing clear, elegant code in a team environment
• A zeal for the web as a storytelling medium, demonstrable through a portfolio of design work and frontend code showcasing design systems, engaging microsites, Figma plugins, webGL experiments, CSS art, or anything else—you tell us
• Experience designing and building public facing websites that work elegantly across commonly used browsers and devices

Preferred qualifications

• A good understanding of the formal elements of design, not just limited to the web and including typography, layout, balance, and proportion
• Proficiency with React, with a focus on interactions, animation, performance, and polish
• Experience with A/B testing, synthetic monitoring, or accessibility testing

About the Role

Location: Remote, United States, Europe, Canada or LATAM

Role-Type: Full-Time

Reports To: VP of Product Engineering

Compensation: $155,000 to $175,000 per year for US based applicants. Adjusted contingent on location for applicants based in Canada, LATAM and Europe.

CodePath’s national programs are powered by a custom platform software suite that includes 6-10 different tools ranging from the multi-step admissions/application process to a custom learning management system, and all the way to our custom gradebook, reporting, and student support systems. To see what we have built, click here.

CodePath is seeking a Senior Software Engineer to help design, develop, and maintain web applications that play a key role in enhancing the educational experience for aspiring engineers.

We’re looking for someone who enjoys navigating ambiguity, values autonomy, and is eager to contribute to our mission of transforming college computer science education and supporting low-income communities.

As a Senior Software Engineer, you’ll join a small team of engineers working closely with stakeholders to understand the needs of our students and staff. You’ll participate in deciding which features to develop and take ownership of executing those plans and you'll collaborate with AI leaders from Microsoft, Google, and OpenAI — and we expect you to bring that same AI-native mentality to your own day-to-day engineering work.

The ideal candidate for this role is a Web Engineer inspired by potential projects like these:

• Developing greenfield projects using Ruby on Rails to reduce costs and reach more students

• Creating a Django-based AI companion to guide students through their CodePath journey

• Improving our Markdown-based course materials for mastery-driven learning

• Scaling systems that have already supported tens of thousands of students

Key Activities

• Design, develop, and maintain web-based applications using Ruby on Rails, Sinatra/Padrino, and Django

• Collaborate with cross-functional teams including product managers, designers, and other developers to define requirements, implement new features, and fix bugs

• Write clean and maintainable code

• Participate in code reviews and maintain code quality standards

• Write automated tests and ensure that applications are tested thoroughly before deployment

• Stay updated on the latest technologies and best practices

• Identify and address performance bottlenecks and other technical issues

• Debug and troubleshoot issues as they arise

Qualifications

• 6+ years of experience in the software engineering field (3 years of experience minimum of using Ruby on Rails)

• Fluency with AI-assisted development tools (Copilot, Cursor, or similar) — you treat AI as a standard part of your workflow and can speak to where it's made you meaningfully faster or better

• Passion for great web products

• Bootstrap Grid and Responsive Layout System or similar CSS/JS framework for lightweight responsive design

• Prior experience working in small, scrappier environments

• Experience with PostgreSQL and database design

• Strong communication skills and ability to work in a team environment

• Passion for education and desire to make a positive impact in the world

Nice to haves

• Experience using Slim or HAML for clean view templating

• Experience working with LLMs and Generative AI

• DevOps experience

• Familiarity with Docker

• Experience deploying applications on GCP

Full-Time Employee Benefits:

This is a 100% remote position—work from anywhere in the U.S.! CodePath prioritizes employee well-being with a competitive benefits package to support your health, financial security, and work-life balance.

• Health & Wellness: Medical, dental, and vision insurance (90% employer-covered for employees and dependents), employer-funded healthcare reimbursement, FSAs, and Employee Assistance Program

• Financial Security: 401(k), employer-paid life & disability insurance, and identity theft protection

• Work-Life Balance: Generous PTO, paid holidays, 10 weeks of fully paid parental leave, and an annual year-end company closure (Dec 24 – Jan 2)

• Professional Growth: $1,000 annual professional development stipend and home office setup support

• ​​Student Loan Forgiveness: CodePath is a qualifying employer for Public Service Loan Forgiveness (PSLF), helping employees manage student loan debt

• Additional Perks: Pet wellness plans, legal services, home/auto insurance discounts, and exclusive marketplace savings

CodePath’s national programs are powered by a custom platform software suite that includes 6-10 different tools ranging from the multi-step admissions/application process to a custom learning management system, and all the way to our custom gradebook, reporting, and student support systems. To see what we have built, click here.

CodePath is seeking a Staff Software Engineer who will design, develop, and maintain web-based applications that are the centerpiece of our mission to enhance and revolutionize the educational experience for emerging engineers.

The ideal candidate should thrive in ambiguity, relish autonomy, and be excited about leveraging and building the technology that is at the center of CodePath's ambitious vision to transform college computer science education, empower the tech leaders of tomorrow and generate over $1.5T in wealth for low-income communities within the next 20 years.

As a Staff Software Engineer, you will join a small team of engineers who collaborate directly with stakeholders to comprehend the needs of our students and staff, actively participate in the decision-making process about which features and functionalities to tackle and then independently execute. On CodePath’s Product Engineering team, you’ll make high-impact decisions about how we solve our problems. 

The ideal candidate for this role is a Web Engineer inspired by potential projects like these:

• Leading the charge to modernize our production infrastructure using Terraform and Ansible. You'll help transition our stable but aging setup to a more maintainable, scalable infrastructure-as-code approach

• Maintaining and modernizing our internal libraries and codebases to ensure long-term scalability and stability

• Using Rails with Turbo in greenfield projects that will help us reduce cost per student and enable us to concurrently reach a greater number of students than we ever have before

• Building a Django-based AI companion that will guide students through their CodePath experience

• Refining our Markdown-based course materials system to support mastery-driven learning

• Scaling a system that has helped tens of thousands of students to help hundreds of thousands more

We partner closely with AI leaders from Microsoft, Google, OpenAI and other specialists on the cutting edge of generative AI R&D. You'll work hands-on with the most advanced AI systems in the world — and we expect Staff engineers here to be AI-native practitioners themselves, not just AI-adjacent builders.

Key Activities

• Design, develop, and maintain web-based applications using Ruby on Rails, Sinatra/Padrino, and Django

• Collaborate with cross-functional teams including product managers, designers, and other developers to define requirements, implement new features, and fix bugs

• Write clean, efficient, and maintainable code

• Participate in code reviews and maintain code quality standards

• Write automated tests and ensure that applications are tested thoroughly before deployment

• Keep up-to-date with the latest technologies, frameworks, and best practices in software development

• Identify and address performance bottlenecks and other technical issues

• Debug and troubleshoot issues as they arise

• Provide technical guidance and support to other members of the team
  
  

Qualifications

• 10+ years of experience in the software engineering field (5 years of experience minimum of using Ruby on Rails) 

• Passion for great web products

• Strong experience with one or more of our frameworks: Rails, Sinatra/Padrino, or Django

• An AI-native development mindset — you actively use AI tools to move faster, think bigger, and raise your own ceiling as an engineer, and you're thoughtful about where AI augments vs. where human judgment matters most

• Bootstrap Grid and Responsive Layout System or similar CSS/JS framework for lightweight responsive design

• Experience with PostgreSQL and database design

• Strong communication skills and ability to work in a team environment

• Passion for education and desire to make a positive impact in the world
  
  

Nice to haves

• Experience using Slim or HAML for clean view templating

• Experience working with LLMs and Generative AI

• Familiarity with Docker

• Experience deploying applications on GCP

• Experience building ELT/ETL pipelines

Full-Time Employee Benefits:

This is a 100% remote position—work from anywhere in the U.S.! CodePath prioritizes employee well-being with a competitive benefits package to support your health, financial security, and work-life balance.

• Health & Wellness: Medical, dental, and vision insurance (90% employer-covered for employees and dependents), employer-funded healthcare reimbursement, FSAs, and Employee Assistance Program

• Financial Security: 401(k), employer-paid life & disability insurance, and identity theft protection

• Work-Life Balance: Generous PTO, paid holidays, 10 weeks of fully paid parental leave, and an annual year-end company closure (Dec 24 – Jan 2)

• Professional Growth: $1,000 annual professional development stipend and home office setup support

• ​​Student Loan Forgiveness: CodePath is a qualifying employer for Public Service Loan Forgiveness (PSLF), helping employees manage student loan debt

• Additional Perks: Pet wellness plans, legal services, home/auto insurance discounts, and exclusive marketplace savings

Location: Canada (Remote)

Reports to: Team Lead, Customer & Product Support

About the Team

Customer & Product Support (C&PS) sits at the intersection of sales, customer success and technical support. Through close teamwork and collaboration, we drive positive customer outcomes and ensure seamless access and optimal utilization of AlphaSense’s market-leading platform and products. We are committed to enhancing every user’s experience through consistent delivery of prompt and knowledgeable responses. The Customer & Product Support team is based globally across the US, UK, India and Singapore.

About the Role

We are looking to hire an Associate, Customer & Product Support to join the growing C&PS team at AlphaSense. This role marries the technical knowledge of our solution with a deep understanding of our users, across all of the segments and business units that we work with, to realize maximum value from the platform. The team is heavily relied upon to contribute excellent customer service, which ultimately maximizes prospect and customer health. In order to learn our business and customer inside and out, this team acts as our first line of support.  This role spearheads usage and engagement and partners with our product management and engineering teams in determining future product developments that will resonate with the market. 

Customer and Product Support is an excellent launching off point to accelerate your personal growth and career at AlphaSense. The role offers cross-functional exposure across our business, consequently providing you with great exposure to the different areas you may want to develop your career in, as you grow with us.

Who You Are

• An intelligent, articulate, consultative and confident client-facing professional with 3 or more years of experience working in a client/product support role.
• You possess a customer-first mindset and enjoy working through complex problems to find solutions.
• You thrive in a collaborative environment and take pride in providing assistance to others, always ready to offer support whenever it’s needed. 
• You are dedicated to helping improve the customer experience and contribute to the overall success and growth of the enterprise.
• You are a strong communicator and have an innate ability to distill and explain complex issues in simple terms.
• You maintain a stable and professional home working environment equipped for high-level support, including the capacity for a dual-screen configuration (equipment provided by AlphaSense) to effectively manage complex workflows.
• You are curious, proactive and possess a continuous improvement mindset with the ability to learn quickly and adapt. Because of our diverse base of clients, much of the technical knowledge required to succeed will be learned on the job.
• You have strong attention to detail, effective time management skills and the ability to rigorously prioritize under pressure.
• You have an interest in AI, technology and software applications.

What You’ll Do

• Deliver a world-class customer experience.
• Act as the first line of defense and a point of escalation for the wider Support team in order to address more complex customer inquiries and resolve technical issues. 
• Guide customers through features and functionalities to maximize their experience and fully resolve their challenges or questions. 
• Identify commonly asked questions to help drive better documentation, help center articles or in-app tours.
• Partner with Customer Education on live training, answering queries and owning the chat function within each session.
• Provide impeccable customer support.
• Investigate, diagnose, troubleshoot and find solutions for queries sent through emails and live chats, leading support calls directly with customers as needed. 
• You will escalate tickets to appropriate teams when needed and will retain a position as the customer’s point person through regular updates and confirming resolution.
• Act as a key partner to Product and Engineering.
• You will have a deep understanding of both our product and customers to uniquely collaborate through fielding feedback and feature requests to identify product opportunities and appropriately convey that information to the correct product groups or within specific ongoing initiatives. 
• Use knowledge of platform to qualify, triage, repackage debugging steps and communicate effectively to technical teams to ensure that customer inquiries are accurately represented and on a swift path to resolution.
• Own level 1 support of internal support channels, resolving as many issues and prioritizing fixes where appropriate.
• Lead on wider incident responses in partnership with SRE, ensuring the customer impact is known and acting as a liaison between Engineering and the Support team to ensure customers are receiving the most up-to-date information.
• Be an expert on our product and continuously build your knowledge.
• Be an expert on the AlphaSense product by proactively learning, staying up-to-date on new features and filling any gaps in your knowledge
• Contribute to and lead new hire training sessions, including giving your input on onboarding materials to ensure accuracy and comprehensiveness in-line evolution of the AlphaSense product and team processes.
• Identify areas to improve content and contribute to creating and updating knowledge base articles, tutorials, and other support documentation based on their expertise.
• Lead on new features for beta by testing, giving feedback and acting as an expert for the Support team.

About the Role

We are seeking a highly technical and creative Product Enablement Engineer to design and deliver compelling product experiences through a combination of high-quality technical content, and creating the lab components and realistic data simulations to support this content creation.

This is a unique hybrid role that blends:

• Cybersecurity and networking expertise
• Cloud-based lab and data environment creation
• Technical storytelling and content production

You will be responsible for creating end-to-end enablement assets — from generating realistic traffic and attack simulations, to building demo-ready environments, to producing polished video content and guided product walkthroughs.

This role is highly visible and requires someone who is comfortable operating independently, including comfort with being on camera while recording technical content for internal and external audiences.

What You’ll Do

Technical Content Creation

• Create high-quality technical content, including:
  • Recorded product demos
  • Feature walkthrough videos
  • UI-guided tutorials and overlay walkthroughs
  • Demo narratives for new product releases
• Translate complex cybersecurity and networking concepts into clear, engaging content.
• Present confidently on camera for recorded and live enablement content.
• Collaborate with Product, Marketing, and Enablement teams to align messaging and technical accuracy.

Demo Environment & Lab Development

• Design and build demo-ready lab environments to support product storytelling.
• Develop and maintain demo scenarios that highlight key product capabilities.
• Create lightweight, repeatable environments for internal and partner use.
• Configure SaaS environments and ensure demo stability and reliability.

Data & Threat Simulation

• Generate realistic network traffic and SaaS application behavior (e.g., collaboration tools, web traffic).
• Simulate cybersecurity threats and attack scenarios aligned with frameworks such as MITRE ATT&CK, including:
  • Lateral movement
  • Command-and-control traffic
  • Data exfiltration
  • Network degradation scenarios
• Simulate network conditions such as latency, jitter, and packet loss.
• Build modular, reusable data scenarios for demos and enablement use cases.

Cloud & Infrastructure Setup

• Deploy and manage virtual environments in Azure (and/or AWS) to support demo and simulation needs.
• Configure:
  • Virtual machines
  • VPN clients
  • Networking components
• Ensure environments are properly connected to SaaS platforms and functioning as intended.

Automation & Tooling

• Use scripting and automation to streamline:
  • Environment setup
  • Data generation
  • Scenario execution
• Work with APIs to configure SaaS environments and retrieve telemetry.
• Build repeatable workflows for demo and content creation environments.

What You Bring

Required Qualifications

• 10+ years of experience in networking, cybersecurity, or related technical roles.
• Strong background in networking fundamentals (TCP/IP, DNS, HTTP/S, VPNs).
• Solid understanding of cybersecurity concepts (threat detection, intrusion techniques, zero trust).
• Experience working with cloud platforms (Azure preferred, AWS acceptable).
• Strong scripting and automation experience using:
  • Python
  • PowerShell
  • Linux command-line environments (bash)
• Experience interacting with REST APIs for automation and configuration.
• Proven ability to work independently across multiple domains (cloud, networking, SaaS, automation).

Content & Enablement Experience

• Experience creating technical content such as:
  • Product demos
  • Training videos
  • Walkthroughs or tutorials
• Comfortable presenting technical material on camera.
• Ability to clearly explain complex technical concepts to varied audiences.

Preferred Qualifications

• Experience in Sales Engineering, Technical Enablement, or Product Enablement roles.
• Experience supporting pre-sales or partner enablement programs.
• Familiarity with MITRE ATT&CK or similar frameworks.
• Experience generating network traffic using tools such as Scapy, tcpreplay, iperf, etc.
• Experience simulating network conditions (tc, netem).
• Exposure to cybersecurity tools (Wireshark, Nmap, SIEM platforms, etc.).
• Relevant certifications (e.g., CCNA, CCNP, Security+, CISSP) — nice to have but not required.

What Success Looks Like

• High-quality, engaging video content that clearly demonstrates product capabilities.
• Realistic and reliable demo environments that replicate customer scenarios.
• Effective simulation of threats and network conditions to showcase product value.
• Strong adoption of enablement materials by Sales Engineers and partners.
• Seamless integration of technical accuracy with compelling storytelling.

Ideal Candidate Profile

• A technical storyteller who enjoys explaining complex systems simply and effectively.
• A hands-on builder who can create demo environments, simulate real-world scenarios, and troubleshoot independently.
• Comfortable switching between engineering work and content creation.
• Confident, clear communicator who is comfortable being the face of technical content.
• Experience in customer-facing roles (e.g., Sales Engineer, Enablement Engineer) is highly valued.

Why This Role Is Unique

This is not a traditional engineering or content role — it sits at the intersection of both.

You will directly influence how customers, partners, and internal teams understand and experience our product, combining deep technical expertise with high-impact storytelling.

Cato provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Health Savings/Flexible Spending Accounts, flexible time-off, paid parental leave and disability benefits. 

As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status.

#LI-GG1

We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to client and support our booth activities.
• Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always comes first.

You’d be a good fit with:

• 5 years of experience in technical customer-facing roles or equivalent capacity.  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
• Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
• Motivated learner with a strong interest in quantum computing.

You’d be a great fit with: 

• Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
• Time on the customer side in various verticals included leadership roles - this provides customer empathy
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: This position can work onsite or hybrid from our office in Toronto or remote in Canada
Travel: 20% travel domestically and globally
Job ID: 1310

Location: This role can be based at our office in Bothell, WA (US) or in Oxford, England (UK).
Travel: Twice per year
Job ID: 1453

The Role

As a Staff Software Engineer for Developer Tools, you will be responsible for delivering the next generation of quantum compiler tools and features, with the focus of integration into quantum software applications, overall developer experience, documentation and developer tooling. Your work will involve setting high-level technical standards, mentoring senior engineers and scientists, and providing deep expertise to solve the most challenging problems in quantum compilation, optimization, and hardware interfaces. You will drive the adoption and enhancement of critical, user-facing compiler infrastructure, ensuring our tools are aligned with cutting-edge quantum research (e.g., advanced error mitigation, novel compiler optimization techniques). You will work across organizational boundaries, Compiler, QEC, Applications, and Engineering, to support scientific breakthroughs and define the technical strategy for packaging, documentation, and release processes for major components of IonQ’s developer tooling ecosystem.

The Developer Tools team builds the critical software layer for IonQ’s quantum software tools. In this Staff role, you will be a key driver in shaping the future of this ecosystem, and bridging the gap between critical parts of our engineering and computing organizations. Your impact will be measured by the successful delivery of critical, cross-functional projects and the elevation of technical execution across the entire team.

As a Staff Software Engineer, your influence extends beyond a single project; you define the technical bedrock upon which IonQ's developer ecosystem is built. The compiler is the critical interface where quantum algorithms are realized on hardware, and your architectural decisions will dictate the performance ceiling and accessibility of our systems. You will lead the charge in making advanced quantum techniques, from sophisticated hardware-aware compilation to state-of-the-art error mitigation, seamlessly available to every developer. This role offers the unique opportunity to leverage your deep experience to solve fundamental technical challenges, mentor the next generation of quantum software leaders, and accelerate the global adoption of quantum computing.

Responsibilities

• Define the technical strategy and roadmap for major components of the compiler toolchain, optimization suite, and developer interfaces, ensuring long-term maintainability and performance.
• Serve as the primary architect and technical lead for large, complex engineering projects spanning multiple teams (e.g., integrating a new compilation paradigm or full-stack error mitigation strategy).
• Drive the design and implementation of highly scalable and robust interfaces for hardware-specific compilation features, including advanced pulse-level control and system diagnostics.
• Establish best practices and mentor engineers on software architecture, design patterns, testing methodologies, and maintainership.
• Collaborate closely with research teams to evaluate, prototype, and productize novel quantum algorithms and compilation techniques, bridging the gap between research and production.
• Oversee the comprehensive documentation, examples, tutorials, and packaging strategy for all compiler-related developer tools to ensure ease of adoption and a world-class user experience.
• Act as a key technical resource for the Applications Engineering team, providing deep expertise to employ compilation techniques to solve customer-specific challenges and gather requirements for new features.
• Champion continuous improvement in software engineering processes, automated testing, CI/CD, and validation standards across the Developer Tools organization.

Requirements:

• Bachelor's degree in Computer Science, Engineering, Physics, or a related field, or equivalent training, fellowship, or work experience.
• 10+ years of professional software engineering experience, with a significant portion spent in a technical leadership or architectural role.
• Deep expertise in Python and experience designing and maintaining large-scale, performance-critical software systems.
• Expert-level understanding of quantum computing principles, quantum circuits, optimization techniques, and compiler fundamentals.
• Proven track record of driving complex, cross-functional engineering projects from concept to production delivery.
• Experience in system-level architecture and design, translating high-level requirements into clear, actionable technical specifications and implementation plans.
• A history of mentorship and elevating the technical capabilities of a multi-level engineering team.
• Familiarity with Agentic AI coding tools and techniques, and experience integrating them into modern software development workflows.
• Exceptional written and verbal communication skills, with a track record of authoring impactful technical papers, specifications, and external documentation.

Preferred Qualifications:

• An advanced degree (PhD or Master's) in Physics, Computer Science, or a related field with a focus on quantum computing or compiler technologies.
• Direct experience in compiler development (classical or quantum), particularly with optimization passes, intermediate representations, or static analysis tools.
• Deep expertise in system-level programming (C++, Rust) for high-performance computing or hardware interaction.
• Significant contributions to open-source software, especially in the quantum computing ecosystem (e.g., Qiskit, Pennylane, Cirq, ucc, jeff).
• Experience with low-level hardware control, pulse-level programming, dynamic circuits, or systems programming.
• A strong background in applied quantum error correction (QEC) or advanced quantum error mitigation techniques.
• A demonstrated ability to influence technical direction across organizational boundaries and secure buy-in for strategic initiatives.

The approximate base salary range for this position is $167,808 - $219,704 (USD). The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions for the Bioscience vertical and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (strong focus on biosciences, but also chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business-oriented use cases that uncover potential overlap with the development of useful quantum algorithms, together with the IonQ Application team.
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to clients and support our booth activities.
• Some travel is expected in the US (20%) but opportunities for global travel are available as well for client meetings and IonQ conference activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always comes first.

You’d be a good fit with:

• 5+ years of experience in the Biosciences industry, leading technology initiatives and innovation (or equivalent capacity).  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer-facing skills are critical.
• Bachelor’s degree or above in Biology, Chemistry, Computer Science, Machine Learning, Data Science, or other STEM field, such as Physics or Engineering
• Motivated learner with a strong passion for applied Quantum Mechanics (computing, network, security, sensing and other domains).

You’d be a great fit with: 

• Master's or PhD in a STEM field, perhaps adjacent to quantum computing.   This can enable quicker client trust and confidence.
• 5+ years of experience in a technical customer-facing role or equivalent capacity.  This isn’t a pre-requisite, but helps in transitioning to customer-facing roles.
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: This position can work onsite or hybrid from one of our offices or fully remote in the US or Canada
Travel: Up to 20% travel domestically and globally
Job ID:  1308

The approximate base salary range for this position is $192,979 - $252,659 USD. The total compensation package includes base, bonus, and equity.

General Description: 

As a D2L Solutions Engineer on the Account Management team, you'll spend every day helping those around you get the most out of D2L products and services. You'll help existing D2L clients and educators by learning about their unique needs and proposing solutions including D2L products and services to meet those needs. Your passion for teaching and learning makes people want to open up to you, and your expertise in learning technology and how to accomplish nearly anything using the D2L platform makes you a trusted advisor. You're excited to speak to everyone from students and instructors to a CIO, Professors, Vice Chancellors or Chancellors, and your demos and presentations provoke gasps of amazement, if not outright applause.   

Major Responsibilities (How Will I Make an Impact?): 

• Become a hands-on expert in the Brightspace platform. You won’t just need theoretical knowledge of how things work, but you will be expected to try things out and make sure they work in practice. You will need to get creative and sometimes approach and re-approach a solution until you find the right fit. 
• Support the sales process by becoming an expert in D2L products and services, including functionality, usage, architecture, and deployment.
• Prepare and present persuasive and expertly tailored product demonstrations before a wide variety of audiences and under challenging circumstances. Audiences could be new or seasoned users, executives at a conference table, university faculty in a lecture theatre or HR and L&D professionals piled into stadium seating. Needs could be vague or extremely unique, and timelines to prepare can vary.    
• Build compelling, value-oriented presentations while partnering with your sales team to prep for such presentations.  
• Conduct needs analysis sessions with prospects to understand their infrastructure, needs and potential customizations they may require. 
• Provide feedback to product management teams regarding use cases and trends in the field.  
• Create technical documentation and materials as required for your prospects.    
• Be the conduit through which internal SMEs are contacted and engaged into sales opportunities.  
• Attend sales presentations, meetings, and conferences as required (travel 25-50%), and be willing to work various hours across North America from PST to EST.    
• Engaging in proposal writing - review client requirements, identify optimal product mix, address gaps and assessing competitive alignment, and culminating in the creation of clear, concise responses. 

Competencies (What you’ll bring to the role): 

• 3+ years' experience as a Brightspace user either as an administrator or an instructor having used the platform extensively. 
• Comfort with other learning management systems and other learning platforms that might integrate with the LMS.  
• Have a deep interest in education and educational technology including familiarity with technology ecosystem and the LMS.  
• Must be very comfortable with presenting complex education and technology concepts to a variety of stakeholders.  
• Be highly engaging in person and virtually.   
• Must have excellent writing and comprehension skills. 
• Be able to work remotely in a professional manner. 
• Experience meeting multiple objectives in an entrepreneurial environment with minimal supervision.

Role Overview

As a Founding Senior Customer Engineer at Federato, you’ll be a hands-on in helping insurance carriers and MGUs realize the full power of RiskOps. You’ll partner with Sales to lead technical discovery, solution design, and demo delivery. You’ll also co-create the systems, tools, and content that drive our early SE motion.

What You'll Be Doing

• Own technical sales engagements from discovery through close
• Deliver tailored, high-impact demos focused on business outcomes
• Translate customer workflows into Federato configurations — including quoting, rating, endorsements, and portfolio optimization
• Lead RFP and security questionnaire completion in collaboration with Product and Security teams
• Build and maintain reusable demo environments reflecting target customer segments
• Develop onboarding materials, configuration libraries, and example rating logic
• Partner with the Manager, Pre-Sales and Product Marketing to refine messaging frameworks and technical collateral
• Co-define and continuously improve the pre-sales lifecycle (discovery, solutioning, handoffs, etc.)
• Contribute to shared team assets like:
  • Discovery playbooks
  • Configuration scopes and success criteria templates
  • Demo setup guides and walkthroughs
• Collaborate with Product and Engineering to align roadmap with customer pain points
• Surface recurring objections and product gaps with clarity and context
• Provide post-sale context to Implementation & Customer Success

Who We Hope You Are

• 6–10+ years in technical pre-sales, solutions engineering, or technical consulting
• Hands-on experience in demos, architecture design, and enterprise sales support
• Strong insurance domain knowledge (or curiosity to learn quickly)
• Familiarity with policy lifecycle management, rating, quoting, and underwriting systems
• Ability to communicate technical value to both execs and practitioners
• Coding competence in Javascript and SQL
• Up to 30% Travel

Our base salary range for this role is $175,000 to $195,000, with on-target earnings (OTE) ranging from $245,000 to $275,000. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Total compensation package does include stock options, benefits and additional perks.

Who We Are

At Momentum Financial Services Group, we help people move forward by reimagining how money works for those who need it most. With more than 40 years of experience, we’re the team behind Money Mart—Canada’s largest non-bank branch network—and a leader in financial solutions for underserved communities.

From short-term loans to money transfers and prepaid cards, we power the products, technology, and operations that connect over a million customers a year to the money they need, when they need it.

At MFSG, we come together across teams and departments to create something bigger than ourselves: solutions that remove barriers and give people access to money they might not get anywhere else. Whether you're solving problems, building systems, or shaping strategy, your work fuels real support for real people.

We’ve Got You Covered

Compensation Philosophy: We regularly review industry standards to ensure our total rewards package is competitive and fair. This commitment helps us attract and retain talented individuals who share our purpose.

Discretionary Annual Bonus: Enjoy the opportunity for a discretionary bonus based on individual performance and company success.

Comprehensive Benefits: Our benefits include health and dental plans with 100% of the premiums covered. We also offer an Employee Assistance Program to support your mental well-being and provide resources for personal challenges.

Retirement Plans: Plan for your future with our robust retirement savings options, ensuring you’re set for the long haul.

Hybrid Work Environment: Experience the best of both worlds with our hybrid work model, allowing you to balance remote work with in-office.

Perks and Rewards: Enjoy reimbursement for tuition assistance and professional development, discounts through Perkopolis and participate in our rewards and recognition programs to celebrate your contributions.

The Job: Senior Cloud Engineer

We’re looking for a Senior Cloud Engineer to act as a senior technical expert within our IT Infrastructure team. This is a hands-on role focused on Microsoft 365, Entra ID, and hybrid cloud environments, with a strong emphasis on automation, infrastructure-as-code, and cloud-native engineering.

You’ll lead complex infrastructure initiatives, shape architectural decisions, and help standardize how infrastructure is built, secured, and operated across the organization.

What You’ll Do

Infrastructure Design & Engineering

• Design and implement infrastructure across on-premises, Azure, and AWS environments
• Build scalable, secure systems using modern hybrid and cloud-native architectures
• Architect and govern identity solutions across hybrid environments (Entra ID, SSO, directory sync)
• Develop CI/CD pipelines, golden images (AMI), patching strategies, and monitoring frameworks

Identity, M365 & Endpoint Management

• Administer Microsoft 365 services including Exchange Online, SharePoint, Teams, OneDrive, Intune, and Defender
• Implement identity security controls such as Conditional Access, PIM, RBAC, and Zero Trust
• Manage endpoint solutions (Intune, Autopilot, device compliance, SCCM co-management)
• Automate identity lifecycle and access management processes

Cloud & Infrastructure Automation

• Design and manage Azure and AWS environments (IaaS/PaaS)
• Build and enforce infrastructure-as-code practices using Terraform, Bicep, and CloudFormation
• Automate provisioning, configuration, and operations using PowerShell and APIs
• Support enterprise-wide cloud adoption and ensure consistent, compliant infrastructure standards

Operations & Lifecycle Management

• Manage storage, backups, monitoring, and disaster recovery across environments
• Support VDI environments and overall infrastructure reliability and performance
• Coordinate vendor support for system lifecycle management and optimization

Leadership & Collaboration

• Provide technical leadership and act as an escalation point for complex issues
• Collaborate with DevOps, Security, and IT Operations teams on cross-functional initiatives
• Represent infrastructure in architectural discussions and ensure smooth transition to operations

What You’ll Bring to the Table

• Strong experience in infrastructure engineering across hybrid and cloud environments
• Deep expertise in Microsoft 365, Entra ID, and identity management
• Hands-on experience with Azure and AWS in enterprise environments
• Strong background in infrastructure automation and infrastructure-as-code
• Experience building CI/CD pipelines and cloud-native infrastructure solutions
• Strong problem-solving and troubleshooting capabilities
• Ability to influence technical decisions and work across teams

Education + Experience

• Bachelor’s degree in Computer Science, Information Technology, or related field
• 7+ years of experience in IT infrastructure engineering, with strong focus on cloud and identity in recent years
• Extensive experience with M365, Entra ID, Intune, Windows Server, and cloud platforms
• Strong hands-on experience with Terraform and automation tools
• Experience designing secure AWS environments in multi-account setups is an asset
• Relevant certifications (Microsoft, AWS, ITIL, etc.) are preferred

Ready to lead

If you’re passionate about building modern, automated, and secure infrastructure—and want to play a key role in driving cloud transformation—this is an opportunity to make a significant impact.

Committed to Equal Opportunity:

MFSG is committed to accommodating applicants up to the point of undue hardship during the recruitment, assessment and selection process. If you are selected for an interview, please notify MFSG if you require accommodation in respect of the materials or procedures used at any time during this process. If you require accommodation, MFSG will work with you to determine how to meet your needs.

Please note: The salary range for this position is between C$145k to C$160k.

We’re looking to grow Figma’s UX Writing team. While the title of this role is “UX Writer,” you might think of yourself as a content engineer as much as a writer—someone who uses language to shape how people interact with AI, from crafting better inputs to defining clear, consistent outputs. You’ll collaborate deeply in our most forward-looking areas, helping designers move from idea to product, faster and better. 

As a senior member of the UX Writing team, you’ll flex across high-priority initiatives, defining new spaces at the intersection of AI, design, and development. If you have an eye for craft, excellent writing chops, and a passion for new technologies, we’d love to hear from you.

This is a full-time role that can be held in our New York or San Francisco hubs, or remotely in the US.

What you’ll do at Figma:

• Contribute to overall product strategy around Figma’s offerings
• Define best practices for writing in AI-powered products, from prompting to interaction patterns.
• Partner closely with product designers, product managers, product marketing managers, engineers, applied scientists, AI researchers, and fellow UX writers
• Oversee language across a broad product suite, building taxonomies, glossaries, and other artifacts for both human and agentic ingestion
• Measure and evaluate the quality of AI-generated language
• Create, collaborate, and iterate on the user experience
• Help deliver and refine clear storytelling around product needs and opportunities

Staff Product Manager
Location: Remote (US)
Reports to: Chief Product Officer

Finite State partners with product security teams, the guardians of our connected world, to
create transparency for their connected devices and supply chains. Our platform handles
connected devices and embedded systems across all industries, including those found in
enterprises, healthcare, utilities, connected vehicles, manufacturing facilities, critical
infrastructure, and government entities.
We are a fast-growing series-B company with a fully distributed workforce. Led by a team of
seasoned experts, we are a mission-driven team passionate about arming our customers with
the actionable insights, critical vulnerability data, and remediation guidance necessary to
mitigate product risk and protect the connected attack surface. We are committed to a remote
first culture.
The Role
We’re building ambitious new product and service offerings at Finite State, and we’re looking for
a Staff Product Manager who can both work strategically and dig into the details when
necessary.
This is a strategic, high-visibility role for a PM who:
• Has deep domain knowledge in product security or adjacent cybersecurity areas and
understands how security practitioners think and buy
• Excels at synthesizing qualitative and quantitative data to drive good product decisions
• Is fluent in AI tools for research, content generation, and synthesis — and uses them to
multiply their output
• Is excited to help build the industry’s first agentic product security assurance team
What You’ll Do
• Own a product area end-to-end. Understand customer and market needs, define the
key outcomes and metrics for product and customer success, steer our development
teams to build the right things, and measure the results
• Be the expert on your domain. Develop deep understanding of the product security
assurance challenges that our customers are tackling
• Automate your job. Use AI automation to ensure that we always have the latest data
driving our product decisions
• Own product messaging for customers and the market. Support our go-to-market
organization with useful and relevant product information as we ship new and improved
capabilities

• Build across software and services. Our combination of software and services is key
to our success. Partner with our services team to deliver the best outcomes for
customers.
What You Bring
• 8+ years in product management with at least 3 years in B2B enterprise software in
cybersecurity or an adjacent area. You must be comfortable working with complex
technical products.
• Domain experience in security-adjacent products. You’ve worked on products where
security, compliance, or risk management is a core part of the value proposition — not
just a feature.
• Market intelligence as a core skill. You’re a strong researcher and synthesizer. You
can take a messy landscape of customer conversations, competitive moves, usage data,
and regulatory shifts and turn it into a clear, actionable picture that an engineer can read
and act on.
• AI aptitude. Our team uses AI for research, content generation, synthesis, and analysis.
You’ve built AI capabilities in your products and used AI to automate product work with
repeatable feedback loops.
• Strong communication skills. As a fully remote organization using AI to accelerate, we
rely on clear written communication and data to make decisions.
• GTM partnership mindset. You understand how product decisions connect to revenue.
Why Finite State?
• Be part of building the leading platform for connected device cybersecurity
• Join a fast-moving team that values transparency, innovation and impact
• Work fully remotely with a high degree of autonomy and ownership
• Comprehensive benefits
• Investment: learning stipends to support your professional development
• Equity: share in our growth and success
• Help solve some of the most pressing cybersecurity challenges facing connected device
manufacturers and the millions of people who depend on them

We are looking for a Data Platform Engineer to join our Data Engineering team and help build the foundational systems that power Figma’s next generation of AI-driven products and data experiences.

This is a unique opportunity to be an early engineer shaping Figma’s ML and data platform, enabling everything from self-serve analytics to production-grade AI systems. You’ll work at the intersection of data, infrastructure, and machine learning, building scalable systems that empower Data Science, unlock AI capabilities across the company, and bring data and models closer to the product experience.

This is a full-time role that can be held from one of our US hubs or remotely in the United States.

What you’ll do at Figma:

• Lead work on Figma’s AI data agent to enable self-serve analytics by owning the data-agent layer, building prompt-processing pipelines, instrumenting interactions, and delivering prompt-based usage analytics
• Own and evolve Figma’s ML and data platform, including model serving, feature pipelines, workflow orchestration, CI/CD for models, and production monitoring
• Build product-facing data systems and data products so models and data become first-class components of Figma’s product experience
• Ship platform tooling that enables Data Science teams to deploy, iterate on, and operate models effectively, including feature stores, rollout systems, and observability
• Design and scale infrastructure for AI-assisted and natural language interfaces to data, unlocking self-serve analytics across the company
• Drive cross-functional platform initiatives, aligning data contracts, SLAs, and system design across Data Science, AI/ML, Infrastructure, and Product
• Improve the developer experience for ML and data practitioners through robust abstractions, tooling, and platform capabilities

We’d love to hear from you if you have:

• 5+ years of experience in data platform, infrastructure, or machine learning engineering, with at least 1+ years working on AI or ML systems
• Experience building and operating end-to-end ML systems in production (training, evaluation, deployment, monitoring)
• Strong programming skills in Python or a similar language, with proven ability to build reliable, scalable systems and services
• Experience designing ML infrastructure (model serving, feature pipelines, workflow orchestration) and scalable system architectures
• Proven ability to work cross-functionally and drive projects across Data Science, Engineering, Infrastructure, and Product, with experience in data modeling and data product design

While it’s not required, it’s an added plus if you also have:

• Experience with ML platform tooling such as MLflow, Kubeflow, feature stores, or CI/CD for ML workflows
• Familiarity with LLMs, RAG systems, prompt processing, or AI-native infrastructure
• Experience building self-serve analytics platforms or internal data tools
• Experience with modern data stack technologies such as Snowflake, dbt, or Dagster, and cloud platforms such as AWS
• A strong product mindset and interest in connecting platform work to user and business impact

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Figma seeks an AI-Native Performance TPM to own performance prevention, diagnostics, and safe rollout for both our flagship products and next-gen AI features. This platform-level role spans desktop, browser and mobile; requires deep experience with performance testing (load, stress, endurance, interference), observability, and incident response. You’ll partner across Product, Platform, Performance Program and Product Support. Join us to keep Figma snappy quick!

This is a full time role that can be held from one of our US hubs or remotely in the United States. 

What you'll do at Figma:

• This is a specialist Platform TPM owning horizontal, high-visibility performance programs that span:
• Flagship product performance (load times, FPS, memory) and AI features (model inference latency, throughput, cost, and reliability)
• Desktop, browser, native mobile (React Native / WebView), and WASM contexts
• Cross-org programs: observability/telemetry, regression prevention (performance CI), xfn performance forum, SEV mitigation, safe rollout of AI capabilities, and CE Planning (customer engineering / enterprise readiness)

We’d love to hear from you if you have:

• 5+ years in performance engineering, performance TPM, platform TPM, or SRE with hands-on experience shipping performance programs for SaaS products
• Demonstrated experience with load, stress, performance or scalability testing and new-build comparisons
• Deep familiarity with web performance (FCP, LCP), rendering/FPS, WASM memory, mobile profiling (Xcode Instruments, Android Profiler)
• CI/CD and test automation experience: integrating performance tests into pipelines 
• Distributed systems, cloud infra (AWS), autoscaling, and capacity planning
• Hands-on prior work with LLMs, prompt engineering, or agent platforms

While it’s not required, it’s an added plus if you also have:

• Experience with MLops or LLMs: inference latency tradeoffs, batching, caching, etc
• Observability stack: Datadog / Sentry / RUM
• Background as a performance engineer (not just TPM) with code or test harness contributions.
• Experience with large enterprise Planning / customer load tests.
• Familiarity with real-time collaborative systems and GPU/WASM performance constraints.

The Build Systems team within Figma’s Developer Experience organization owns Figma’s build and CI infrastructure, enabling engineers to ship changes to production quickly and safely. We build and operate core platforms across our polyglot monorepo, including build systems, artifact repositories, merge queues, test frameworks, and CI pipelines.

We’re looking for an experienced technical leader to help shape these platforms, uplevel the team, and deliver high-impact platforms that accelerate engineering velocity. The ideal candidate has deep experience with large monolithic codebases, builds durable and scalable systems, and is motivated by solving high-leverage problems that amplify productivity across the engineering organization.

This is a full time role that can be held from one of our US hubs or remotely in the United States.

What you'll do at Figma:

• Drive technical roadmap and strategy for the Build Systems team
• Partner with cross-functional teams and leadership to identify developer pain points and design elegant, scalable solutions
• Lead complex, multi-quarter initiatives reducing build/test times and improving CI reliability, all while balancing technical excellence with pragmatic delivery
• Design, build, and maintain modern developer tools including scalable build systems, distributed CI platforms, and test frameworks that serve thousands of engineers
• Architect and implement large-scale infrastructure on AWS that powers our entire build pipeline to ensure reliability, performance, and cost-efficiency
• Mentor and uplevel the team through technical guidance, code reviews, and architectural leadership, leading by example and actively investing in your teammates’ growth
• Collaborate with product engineers (your customers), infrastructure teams, and executive stakeholders, and communicate technical decisions clearly to audiences ranging from individual contributors to senior leadership
• Keep up to date with industry trends and best practices in build systems, CI, and developer tooling, and incorporate applicable technologies into our roadmap

We’d love to hear from you if you have:

• 8+ years of engineering experience, including 4+ years on Infrastructure, Platform, or Developer Experience teams
• Deep expertise in build systems (e.g., Bazel, Buck, Pants, Gradle) and operating large-scale monorepos
• Experience optimizing CI/CD, building developer tooling at scale, and designing reliable, high-performance distributed systems
• Hands-on experience with AWS, CI platforms (e.g., Buildkite), Infrastructure as Code, and strong coding skills in languages such as Go, TypeScript, Python, or Ruby
• Proven technical leadership, with a track record of setting technical direction, driving cross-team initiatives, and communicating effectively across a wide range of stakeholders

While it’s not required, it’s an added plus if you also have:

• Experience migrating large codebases to modern build systems (especially Bazel)
• Experience building test frameworks and improving test infrastructure
• Have excellent problem-solving skills, using a systematic and thorough approach grounded in first principles, with a bias for action and a strong focus on impact
• You’re willing to work on grungy problems when they have a high impact on the business or the health of our platform
• Care deeply about the quality of the software and systems you build, with an artisan mentality and a constant drive to improve your craft, while striking the right balance between idealism and pragmatism
• Finally, Figma is a close-knit company with a strong culture that promotes inclusivity and collaboration, taking ambitious goals and having fun doing so. You deeply value these traits and see yourself actively contributing to it

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Our Creation Engine teams work on some of the core technologies that power our real-time, browser-based Figma Design and FigJam products. These teams work mostly (but not exclusively) on client-side code that runs in the browser. Under the hood, Figma shares a lot of similarities with a game engine. We develop this C++/WebAssembly engine to ensure that internal and external developers can rapidly build new products and features that are fast and reliable by default. These teams own areas such as our in-memory data model (SceneGraph), renderer, and multiplayer client/server protocols.

Housed within Creation Engine, the Client Testing, Observability, and Performance (CTOP) team’s mission is to make it easy for client developers to prevent, detect, and resolve performance and quality problems. This team supports a broad scope of testing and logging frameworks used widely across Figma. This includes innovative performance testing tools with careful attention to signal-to-noise ratio as well as deep investment in observability systems. These efforts are tied closely to company-level priorities around maintaining and achieving high performance and best-in-class quality across Figma’s suite of products. 

This is a full time role that can be held from one of our US hubs or remotely in the United States.

What you'll do at Figma:

• Manage and support a team of experienced engineers to deliver best-in-class testing and observability frameworks for Figma client developers
• Partner with product, data science, and engineering leadership to set strategy, priorities and mission for teams and projects
• Roll up your sleeves as needed to get involved in the technical details and operational strategy
• Engage on broader company programs to up-level the team’s work on performance & quality
• Build and support a culture of doing great work together for our engineering team by investing in team culture, mentorship, and meaningful work
• Grow your career in a collaborative and creative engineering community

We’d love to hear from you if you have:

• 4+ years of engineering management experience leading high-output, high-performing teams, with 4+ years as a hands-on engineer
• Proven leadership in building, mentoring, and motivating senior engineers while maintaining a high technical bar and recruiting top talent
• Deeply passionate about the testing, observability, and tooling space, with proven hands-on or leadership experience driving impact in these areas
• Demonstrated success delivering scalable, high-quality work and driving cross-functional initiatives in fast-paced, ambiguous environments
• Empathetic leader with strong organizational and execution skills, enabling platform teams that support and accelerate many others

While it’s not required, it’s an added plus if you also have:

• Deep technical knowledge in the relevant domains, with existing understanding of best practices for testing and observability
• Experience managing other managers and growing teams
• Experience advocating for and successfully adopting a performance-mindset culture across an entire company

Full-Stack Engineer, AI Native GTM Systems

Location: Remote, U.S.-based
Department: Business Systems / GTM Ops
Reports to: Director of GTM Ops

The Role

We’re hiring a Full-Stack Engineer to build AI-native applications and systems that power how Finite State sells, supports, and grows.

This role is for a product-minded engineer first. You will work directly with the Director of GTM Ops to turn business problems into software, agents, and workflows that improve execution across the customer lifecycle. You will design and ship products end to end, with a focus on AI-native experiences, sound architecture, and fast iteration.

What You’ll Do

• Build internal applications that improve execution across GTM, operations, and customer-facing teams
• Design and ship AI-native products, agentic workflows, and full-stack systems end to end
• Develop integrations across Salesforce, HubSpot, product data, and other business systems
• Build AI-assisted and agentic workflows that improve speed, decision quality, and execution
• Build reliable data flows, orchestration layers, and system architecture that scale with the business
• Partner with business stakeholders to identify high-value problems and ship practical solutions quickly
• Use modern AI development tools and engineering workflows to accelerate delivery without compromising quality 

What You’ll Build

• AI-assisted research tools that prepare reps before calls with account, buyer, and deal context
• Prospecting engines that research, enrich, and route accounts and contacts
• Pipeline and deal review tools that surface risks, next steps, and coaching insights
• Interactive GTM playbooks with competitive intelligence, objection handling, and recommended actions
• In-workflow copilots and agentic tools that support sellers and customer teams in real time

• Customer health and expansion models that identify risk and growth opportunities
• Automated onboarding workflows that reduce time to value
• Trial, support, and conversion tooling that improves the buyer experience across the funnel

• Internal apps, APIs, orchestration services, and workflow layers that connect fragmented tools
• Data pipelines and operational systems that improve quality, visibility, and reporting accuracy

What You Bring

• Strong full-stack engineering ability with experience shipping production applications end to end
• Experience building modern applications with tools such as TypeScript, React, Node.js, Python, and SQL
• Strong system design skills and good judgment around architecture, maintainability, and tradeoffs
• Experience building AI-native products, agentic systems, or intelligent workflows that go beyond simple prompt wrappers
• Familiarity with frameworks and tooling such as AI-SDK, LangGraph, Agno, or similar orchestration patterns
• Strong product sense and the ability to turn ambiguous business needs into usable software
• Experience working with APIs, integrations, authentication, and event-driven or workflow-based systems
• Comfort working directly with internal stakeholders and owning delivery with minimal oversight
• High velocity with AI-assisted development tools such as Cursor, Claude Code, Codex, or custom engineering harnesses

Preferred Experience

• Experience building software for GTM, operations, or other internal business teams
• Experience with systems such as Salesforce, HubSpot, and modern GTM tooling
• Experience with data workflows, analytics systems, and operational reporting
• Background in B2B SaaS, cybersecurity, or technical product environments
• Familiarity with enrichment providers, workflow orchestration, and modern GTM infrastructure

Why Finite State?

• Be part of building the leading platform for connected device cybersecurity
• Join a fast-moving team that values transparency, innovation and impact
• Work fully remotely with a high degree of autonomy and ownership
• Comprehensive benefits
• Investment: learning stipends to support your professional development
• Equity: share in our growth and success
• Help solve some of the most pressing cybersecurity challenges facing connected device

manufacturers and the millions of people who depend on them

About Finite State

At Finite State, we’re on a mission to secure the connected world. Our platform empowers

product security teams to detect vulnerabilities, manage software supply chain risks, and ensure

compliance across complex device ecosystems. From IoT to critical infrastructure, we provide

unparalleled visibility into firmware and software components, helping organizations protect their

products and customers.

We move with urgency and intent — we’re transparent, own outcomes, put customers first,

speak up, and learn fast — turning evidence into action. CLARITY is how we move fast without

breaking trust.

Who We Are
At Momentum Financial Services Group, we help people move forward by reimagining how money works for those who need it most. With more than 40 years of experience, we’re the team behind Money Mart—Canada’s largest non-bank branch network—and a leader in financial solutions for underserved communities.

From short-term loans to money transfers and prepaid cards, we power the products, technology, and operations that connect millions of customers each year to the money they need, when they need it.

At MFSG, we work together across teams and functions to create something bigger than ourselves: solutions that remove barriers and give people access to money they might not get anywhere else. Whether you’re solving problems, building systems, or shaping strategy, your work fuels real support for real people.

We’ve Got You Covered

• Compensation Philosophy – Competitive pay aligned with experience and market standards
• Discretionary Annual Bonus – Rewarding both individual and company performance
• Comprehensive Benefits – Health and dental coverage with premiums fully paid, plus access to an Employee Assistance Program
• Retirement Plans – Helping you plan and save for the future
• Hybrid Work Environment – Flexibility to balance remote and in-office collaboration; enjoy our corporate HQ spaces designed for teamwork and creativity
• Perks and Rewards – Tuition reimbursement, professional development support, discounts through Perkopolis, and recognition programs that celebrate your impact

The Job: Site Reliability Engineer

The Site Reliability Engineer is responsible for ensuring the availability, performance, and resilience of the organization's digital banking and financial services platforms. This role focuses on automating operational processes, defining and maintaining service-level objectives, and engineering systems that can withstand and recover from failure. You will work closely with engineering, DevOps, QA, cybersecurity, and compliance teams to ensure platform reliability meets both technical and regulatory standards, while minimizing risk to production systems through proactive monitoring, incident response, and continuous improvement of the software delivery lifecycle.

How You’ll Make an Impact: 

Reliability Planning & Governance

• Define and maintain service-level objectives (SLOs), error budgets, and reliability targets aligned with business goals and compliance deadlines.
• Oversee the end-to-end service lifecycle, from code integration to production deployment, with a focus on stability and risk reduction.
• Ensure all changes comply with relevant financial regulations.
• Conduct reliability risk and blast-radius assessments before production changes.
• Coordinate go/no-go decisions with engineering, QA, compliance, and operations stakeholders.

Execution & Delivery

• Own build, test, and deployment pipelines across multiple environments (staging, UAT, production), ensuring changes are safe, repeatable, and observable.
• Design and maintain automated CI/CD pipelines and enforce version control policies (e.g., Git Flow) to reduce toil and human error.
• Engineer zero-downtime deployments and low-impact change strategies for high-availability systems.
• Develop and maintain rollback, failover, and disaster recovery runbooks for production incidents.

Compliance & Security Oversight

• Collaborate with Information Security and Compliance teams to validate that infrastructure and deployment practices meet data protection and privacy standards.
• Maintain audit-ready documentation of change activity, incident timelines, and remediation records.
• Support internal and external audits with detailed operational and change history.

Continuous Improvement

• Drive automation, standardization, and observability improvements across the production environment.
• Conduct post-incident reviews (blameless post-mortems) to identify systemic failures and prevent recurrence.
• Contribute to DevOps and SRE maturity initiatives across engineering teams.

Stakeholder Communication

• Act as the central liaison between product, development, and compliance teams on production health and change risk.
• Communicate change scope, reliability risks, and incident status clearly to both technical and non-technical stakeholders.
• Provide regular reliability reporting, SLO performance metrics, and incident trends to senior management.

What You Bring:

Technical Proficiency:

• CI/CD tools
• Cloud platforms (AWS, Azure).
• Containers and orchestration (Docker, Kubernetes).
• Scripting languages (Python, Bash).
• Infrastructure as Code (Terraform, Ansible).
• Observability and monitoring tools

Soft Skills:

• Strong cross-functional collaboration and communication across engineering and compliance teams.
• Rigorous attention to detail with a proactive approach to risk and failure detection.
• Ability to perform under pressure and respond decisively during incidents and regulatory deadlines.

Education + Experience:

• Bachelor's degree in Computer Science, Information Technology, or related field.
• 3-5 years in Site Reliability Engineering, DevOps, or Platform Engineering within financial services or fintech.
• Hands-on experience maintaining reliability for real-time transaction systems, mobile banking, or payment gateways.
• Familiarity with regulatory compliance requirements and their operational implications for production systems.

Ready to apply your Site Reliability Engineering expertise to make a real impact? Join us and help shape the future of tech at MFSG. Apply today and let’s build the future of MFSG, together.

Committed to Equal Opportunity: 
 
MFSG is committed to accommodating applicants up to the point of undue hardship during the recruitment, assessment and selection process. If you are selected for an interview, please notify MFSG if you require accommodation in respect of the materials or procedures used at any time during this process. If you require accommodation, MFSG will work with you to determine how to meet your needs. 

Please note: The salary range for this position is between C$ 110,000 to C$ 120,000. 

This is a remote opportunity and we would be interested in applicants from USA time zones only at this time.

Staff AI Engineer

The Opportunity: 

Grafana's Revenue Operations organization is looking for a Staff AI Engineer to own the AI agent infrastructure and automation platform that powers our GTM teams. You'll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You'll ship production systems that teams depend on daily.

This is a high-autonomy role where you own the technical direction. You'll identify the highest-leverage problems across Sales, Customer Success, and Marketing, design the solutions, and ship them. You'll define the technical direction for the automation platform—data models, API contracts, shared libraries, reference architectures—and partner with Data Engineering, GTM Systems, Field Operations, and GTM leadership to build scalable, self-service automation that eliminates manual work and drives operational efficiency.

What You’ll Be Doing:

Agentic Tool Development

• Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
• Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams
• Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs)
• Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management
• Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths

Systems Integration & Backend Services

• Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools)
• Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context
• Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure

Automation & Workflow Manufacturing

• Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes
• Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards
• Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently

We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards.

What Makes You a Great Fit / Requirements:

• 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering
• 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes
• Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline
• Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation
• Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring
• You diagnose business problems before writing code. You think in workflows and outcomes, not just functions.
• Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run)
• Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management
• Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction
• Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems
• Clear technical communicator—you can explain complex systems in simple terms to both engineers and business stakeholders

Bonus Points For:

• Experience with frontend frameworks & tooling (React, Slack Block Kit, dashboard components) to build user-facing interfaces for AI tools
• Familiarity with GTM platforms like Salesforce, HubSpot, Outreach, Gainsight, or similar CRM/sales engagement tools
• Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, pgvector, or similar)
• Prior work automating sales, customer success, or marketing workflows in a B2B SaaS environment
• Experience with workflow automation platforms like n8n, Prefect, Clay, PhantomBuster, Apify, Dust, or similar tools
• Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources and tools
• Exposure to observability tools for AI systems (LangSmith, Weights & Biases, custom logging/evaluation frameworks)
• Experience working in Revenue Operations, GTM Analytics, or Sales Operations environments
• Previous experience in open source or developer-focused SaaS companies—Grafana is built on OSS and we value engineers who share that DNA

Compensation & Rewards:

In the United States, the Base compensation range for this role is USD 174,986  -  USD 209,983. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we would be interested in applicants from Canada time zones only at this time.

Staff AI Engineer

The Opportunity: 

Grafana's Revenue Operations organization is looking for a Staff AI Engineer to own the AI agent infrastructure and automation platform that powers our GTM teams. You'll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You'll ship production systems that teams depend on daily.

This is a high-autonomy role where you own the technical direction. You'll identify the highest-leverage problems across Sales, Customer Success, and Marketing, design the solutions, and ship them. You'll define the technical direction for the automation platform—data models, API contracts, shared libraries, reference architectures—and partner with Data Engineering, GTM Systems, Field Operations, and GTM leadership to build scalable, self-service automation that eliminates manual work and drives operational efficiency.

What You’ll Be Doing:

Agentic Tool Development

• Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
• Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams
• Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs)
• Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management
• Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths

Systems Integration & Backend Services

• Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools)
• Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context
• Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure

Automation & Workflow Manufacturing

• Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes
• Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards
• Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently

We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards.

What Makes You a Great Fit / Requirements:

• 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering
• 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes
• Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline
• Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation
• Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring
• You diagnose business problems before writing code. You think in workflows and outcomes, not just functions.
• Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run)
• Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management
• Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction
• Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems
• Clear technical communicator—you can explain complex systems in simple terms to both engineers and business stakeholders

Bonus Points For:

• Experience with frontend frameworks & tooling (React, Slack Block Kit, dashboard components) to build user-facing interfaces for AI tools
• Familiarity with GTM platforms like Salesforce, HubSpot, Outreach, Gainsight, or similar CRM/sales engagement tools
• Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, pgvector, or similar)
• Prior work automating sales, customer success, or marketing workflows in a B2B SaaS environment
• Experience with workflow automation platforms like n8n, Prefect, Clay, PhantomBuster, Apify, Dust, or similar tools
• Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources and tools
• Exposure to observability tools for AI systems (LangSmith, Weights & Biases, custom logging/evaluation frameworks)
• Experience working in Revenue Operations, GTM Analytics, or Sales Operations environments
• Previous experience in open source or developer-focused SaaS companies—Grafana is built on OSS and we value engineers who share that DNA

Compensation & Rewards:

In Canada, the Base compensation range for this role is CAD 186,368  -  CAD 223,642. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

Who We Are

At Momentum Financial Services Group, we help people move forward by reimagining how money works for those who need it most. With more than 40 years of experience, we’re the team behind Money Mart—Canada’s largest non-bank branch network—and a leader in financial solutions for underserved communities.

From short-term loans to money transfers and prepaid cards, we power the products, technology, and operations that connect over a million customers a year to the money they need, when they need it.

At MFSG, we come together across teams and departments to create something bigger than ourselves: solutions that remove barriers and give people access to money they might not get anywhere else. Whether you're solving problems, building systems, or shaping strategy, your work fuels real support for real people.

We’ve Got You Covered

Compensation Philosophy: Our strategy is designed to attract and retain top talent by offering competitive, fair, and performance-driven rewards. We benchmark against the market, recognize strong performance and continuously evolve to meet the needs of our people and our business.

Discretionary Annual Bonus: Enjoy the opportunity for a discretionary bonus based on individual performance and company success.

Comprehensive Benefits: Our benefits include health and dental plans with 100% of the premiums covered. We also offer an Employee Assistance Program to support your mental well-being and provide resources for personal challenges.

Retirement Plans: Plan for your future with our robust retirement savings options, ensuring you’re set for the long haul.

Hybrid Work Environment: Experience the best of both worlds with our hybrid work model, allowing you to balance remote work with in-office.

Perks and Rewards: Enjoy reimbursement for tuition assistance and professional development, discounts through Perkopolis and participate in our rewards and recognition programs to celebrate your contributions.

The Job: Senior IAM Engineer

We’re looking for a Senior IAM Engineer to design, implement, and manage identity and access management solutions across the organization. This role will play a critical part in securing systems, enabling seamless access for users, and ensuring compliance across internal and customer-facing platforms.

What You’ll Do

IAM Architecture & Engineering

• Design, implement, and maintain IAM solutions across platforms such as Azure Entra ID, AWS IAM, Active Directory, and Okta
• Support the rollout and optimization of centralized IAM platforms
• Partner with security, infrastructure, and application teams to strengthen IAM architecture

Access Lifecycle Management

• Manage end-to-end user lifecycle including provisioning, de-provisioning, and access reviews
• Implement role-based access controls and enforce least privilege and zero-trust principles
• Ensure secure and efficient access for both internal and external users

Governance, Risk & Compliance

• Define and enforce IAM policies, standards, and procedures
• Conduct access reviews and support audit readiness (e.g., SOX, GDPR, ISO)
• Monitor IAM environments for compliance and control effectiveness

Security Monitoring & Incident Response

• Monitor IAM logs and alerts to detect suspicious activity
• Support investigation and resolution of access-related security incidents

Integration & Collaboration

• Integrate IAM solutions with enterprise applications and systems
• Collaborate with IT, cybersecurity, and business teams to improve identity security posture

Automation & Continuous Improvement

• Automate IAM processes using scripting and APIs
• Improve operational efficiency and reduce manual intervention

Documentation & Knowledge Sharing

• Maintain clear and up-to-date documentation of IAM systems and processes
• Support knowledge sharing and training across teams

What You’ll Bring to the Table

• Strong experience in Identity and Access Management within complex environments
• Hands-on expertise with Azure Entra ID, AWS IAM, Active Directory (On-Prem), and Okta (SSO, MFA, Provisioning, Federation).
• Deep understanding of IAM concepts including RBAC, PAM, authentication, and authorization
• Experience implementing zero-trust and least privilege access models
• Familiarity with compliance frameworks and security standards
• Strong problem-solving skills and ability to work across technical and business teams
• Experience with automation and scripting (e.g., PowerShell, Python)

Education + Experience

• Bachelor’s degree in Computer Science, Information Security, or related field (or equivalent experience)
• 5+ years of experience in Identity & Access Management
• Experience working in regulated environments (e.g., financial services) is an asset
• Relevant certifications (e.g., Microsoft Identity, Okta, or security certifications) are preferred

Ready to lead

If you’re passionate about securing identities, improving access controls, and building scalable IAM solutions, this is an opportunity to make a critical impact on enterprise security.

Committed to Equal Opportunity:

MFSG is committed to accommodating applicants up to the point of undue hardship during the recruitment, assessment and selection process. If you are selected for an interview, please notify MFSG if you require accommodation in respect of the materials or procedures used at any time during this process. If you require accommodation, MFSG will work with you to determine how to meet your needs.

Please note: The salary range for this position is between C$ 125,000 to C$ 135,000.

This is a remote opportunity and we are looking for candidates from the U.S.

The Opportunity

Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily.

This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency.

What You'll Be Doing

Agentic Systems & AI Infrastructure

• Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
• Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams
• Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs)
• Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management
• Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths

Systems Integration & Backend Services

• Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools)
• Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context
• Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure

Automation & Workflow Enablement

• Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes
• Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards
• Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently

We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards.

What Makes You a Great Fit

• 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering
• 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes
• Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline
• Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation
• Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring
• You diagnose business problems before writing code. You think in workflows and outcomes, not just functions.
• Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run)
• Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management
• Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction
• Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems
• Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders

Bonus Points

• Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector)
• Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach)
• Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces
• Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks)
• Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow)
• Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources
• Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment
• Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA

In the United States, the base compensation range for this role is USD $174,986 - USD $209,983. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we are looking for candidates from Canada. Residents of Quebec are not eligible for this role.

The Opportunity

Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily.

This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency.

What You'll Be Doing

Agentic Systems & AI Infrastructure

• Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
• Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams
• Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs)
• Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management
• Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths

Systems Integration & Backend Services

• Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools)
• Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context
• Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure

Automation & Workflow Enablement

• Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes
• Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards
• Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently

We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards.

What Makes You a Great Fit

• 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering
• 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes
• Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline
• Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation
• Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring
• You diagnose business problems before writing code. You think in workflows and outcomes, not just functions.
• Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run)
• Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management
• Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction
• Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems
• Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders

Bonus Points

• Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector)
• Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach)
• Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces
• Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks)
• Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow)
• Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources
• Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment
• Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA

In Canada, the base compensation range for this role is CAD 186,368 - CAD 223,642. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we are looking for candidates from Canada. Residents of Quebec are not eligible for this role.

The Opportunity

Grafana Labs is looking for a Staff AI Engineer, People Technology to help build the next generation of AI-powered systems that support our global workforce and People programs. This role sits within the People Technology team, partnering closely with People Operations, Talent Acquisition, Enablement, Finance, and Go-to-Market teams to design intelligent workflows and data products that improve how we hire, develop, and support Grafanistas worldwide.

At Grafana Labs, we believe AI should be actually useful. Our approach to AI is grounded in solving real problems and creating practical tools that help teams work better. As part of this philosophy, you’ll apply AI thoughtfully within our People systems, building solutions that improve how we operate and support team members.

As our first People Team AI Engineer, you’ll architect and implement AI-driven solutions that unlock insights from our People data ecosystem, including BigQuery and systems such as Workday, Greenhouse, Docebo, Tangelo, and Salesforce. Your work will focus on creating scalable data pipelines, automation, and AI-powered workflows that drive operational efficiency and deliver actionable insights for People leaders.

This role requires both technical depth and a strong understanding of data governance, privacy, and responsible AI practices. You’ll help establish standards for anonymization, ethical AI usage, and secure handling of sensitive People data while building systems that empower the People team to make data-informed decisions.

As a Staff-level engineer, you will also set technical direction, mentor other engineers, and influence how AI is adopted and governed across the broader organization, not just within the People team.

This is an opportunity to play a foundational role in shaping how AI supports the employee lifecycle at Grafana Labs, from recruiting and onboarding to development, engagement, and workforce planning.

What You'll Be Doing

AI Architecture & People Data Intelligence

• Design and build AI-powered workflows, agents, and analytics tools that transform People data into actionable insights and reduce manual processes across the People Team
• Architect solutions that leverage BigQuery as the central data layer, integrating platforms such as Workday, Greenhouse, Docebo, Tangelo, Salesforce, and other internal systems
• Establish and maintain CI/CD pipelines, testing frameworks, and observability standards for AI systems and automated workflows
• Define prompt engineering standards, version control practices, and evaluation frameworks for LLM-based systems operating on People data
• Partner with People Analytics to ensure AI systems operate on well-governed, high-quality datasets and align with established workforce metrics and data models
• Build internal dashboards, AI assistants, or automated workflows that support reporting, insights, and operational efficiency
• Collaborate with People partners to translate business problems into scalable technical solutions
• Define and track success metrics and measurable business outcomes for AI initiatives, including efficiency gains, time savings, and decision quality improvements

Responsible AI, Security & Data Governance

• Design systems that securely handle sensitive employee data using anonymization, aggregation, and robust access controls
• Establish governance standards for AI models, prompts, and automation workflows, ensuring compliance with internal security, privacy, and regulatory requirements
• Implement monitoring and evaluation frameworks that ensure AI systems operate accurately, fairly, and reliably over time

Cross-Functional Collaboration & Enablement

• Partner closely with Data Engineering and teams across People, IT, Security and Privacy, Finance, and GTM Operations to align data architecture and AI capabilities
• Collaborate with other AI Engineers across the organization to align on architecture patterns, shared tooling, and company-wide AI standards
• Document systems, architecture decisions, and governance frameworks for People AI initiatives
• Help establish internal standards for AI experimentation, deployment, and measurement of impact
• Provide guidance and enablement to People teams adopting AI-driven tools and workflows
• Create training materials, playbooks, and scalable frameworks that enable People team members to confidently build, trigger, and measure AI-assisted workflows independently

Technical Leadership

• Set technical direction for AI architecture within the People technology ecosystem
• Mentor and provide technical guidance to engineers and technical partners working on adjacent systems
• Influence cross-functional architecture decisions, advocating for responsible, scalable, and well-governed AI practices across the organization
• Drive alignment between AI initiatives and broader engineering standards, ensuring People systems are not built in isolation

What Makes You a Great Fit

• 7+ years of engineering or data engineering experience, including 2+ years working with AI/ML systems or LLM-based workflows. Demonstrated ability to set technical direction, mentor engineers, and drive organization-wide impact through AI or automation initiatives
• Strong experience working with Google Cloud Platform and BigQuery for data processing and analytics
• Proficiency in Python, SQL, modern APIs, and LLM platforms or frameworks (OpenAI, Gemini, Claude, or similar), including integrating enterprise SaaS systems such as HRIS or CRM platforms
• Experience designing scalable data pipelines, automation frameworks, and analytics platforms, with a strong knowledge of data modeling, ETL/ELT pipelines, and analytics infrastructure
• Experience working with sensitive data environments and implementing responsible AI practices, including anonymization, access controls, governance, and regulatory considerations when applying AI to People data
• Ability to partner with both technical and non-technical stakeholders to define and deliver solutions, document systems clearly, and translate evolving business needs into scalable technical solutions

Bonus Points

• Experience working with HR technology ecosystems such as Workday, Greenhouse, and learning platforms
• Background in People Analytics or workforce analytics platforms
• Experience building internal AI tools, copilots, or automation agents for business teams
• Familiarity with workflow automation platforms (Zenphi, n8n, Workato, Zapier, Make, etc.)
• Experience working in high-growth SaaS or distributed organizations
• Contributions to AI governance frameworks, responsible AI standards, or open-source AI tooling

In Canada, the base compensation range for this role is CAD 186,368 - CAD 223,642. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we are looking for candidates from the U.S.

The Opportunity

Grafana Labs is looking for a Staff AI Engineer, People Technology to help build the next generation of AI-powered systems that support our global workforce and People programs. This role sits within the People Technology team, partnering closely with People Operations, Talent Acquisition, Enablement, Finance, and Go-to-Market teams to design intelligent workflows and data products that improve how we hire, develop, and support Grafanistas worldwide.

At Grafana Labs, we believe AI should be actually useful. Our approach to AI is grounded in solving real problems and creating practical tools that help teams work better. As part of this philosophy, you’ll apply AI thoughtfully within our People systems, building solutions that improve how we operate and support team members.

As our first People Team AI Engineer, you’ll architect and implement AI-driven solutions that unlock insights from our People data ecosystem, including BigQuery and systems such as Workday, Greenhouse, Docebo, Tangelo, and Salesforce. Your work will focus on creating scalable data pipelines, automation, and AI-powered workflows that drive operational efficiency and deliver actionable insights for People leaders.

This role requires both technical depth and a strong understanding of data governance, privacy, and responsible AI practices. You’ll help establish standards for anonymization, ethical AI usage, and secure handling of sensitive People data while building systems that empower the People team to make data-informed decisions.

As a Staff-level engineer, you will also set technical direction, mentor other engineers, and influence how AI is adopted and governed across the broader organization, not just within the People team.

This is an opportunity to play a foundational role in shaping how AI supports the employee lifecycle at Grafana Labs, from recruiting and onboarding to development, engagement, and workforce planning.

What You'll Be Doing

AI Architecture & People Data Intelligence

• Design and build AI-powered workflows, agents, and analytics tools that transform People data into actionable insights and reduce manual processes across the People Team
• Architect solutions that leverage BigQuery as the central data layer, integrating platforms such as Workday, Greenhouse, Docebo, Tangelo, Salesforce, and other internal systems
• Establish and maintain CI/CD pipelines, testing frameworks, and observability standards for AI systems and automated workflows
• Define prompt engineering standards, version control practices, and evaluation frameworks for LLM-based systems operating on People data
• Partner with People Analytics to ensure AI systems operate on well-governed, high-quality datasets and align with established workforce metrics and data models
• Build internal dashboards, AI assistants, or automated workflows that support reporting, insights, and operational efficiency
• Collaborate with People partners to translate business problems into scalable technical solutions
• Define and track success metrics and measurable business outcomes for AI initiatives, including efficiency gains, time savings, and decision quality improvements

Responsible AI, Security & Data Governance

• Design systems that securely handle sensitive employee data using anonymization, aggregation, and robust access controls
• Establish governance standards for AI models, prompts, and automation workflows, ensuring compliance with internal security, privacy, and regulatory requirements
• Implement monitoring and evaluation frameworks that ensure AI systems operate accurately, fairly, and reliably over time

Cross-Functional Collaboration & Enablement

• Partner closely with Data Engineering and teams across People, IT, Security and Privacy, Finance, and GTM Operations to align data architecture and AI capabilities
• Collaborate with other AI Engineers across the organization to align on architecture patterns, shared tooling, and company-wide AI standards
• Document systems, architecture decisions, and governance frameworks for People AI initiatives
• Help establish internal standards for AI experimentation, deployment, and measurement of impact
• Provide guidance and enablement to People teams adopting AI-driven tools and workflows
• Create training materials, playbooks, and scalable frameworks that enable People team members to confidently build, trigger, and measure AI-assisted workflows independently

Technical Leadership

• Set technical direction for AI architecture within the People technology ecosystem
• Mentor and provide technical guidance to engineers and technical partners working on adjacent systems
• Influence cross-functional architecture decisions, advocating for responsible, scalable, and well-governed AI practices across the organization
• Drive alignment between AI initiatives and broader engineering standards, ensuring People systems are not built in isolation

What Makes You a Great Fit

• 7+ years of engineering or data engineering experience, including 2+ years working with AI/ML systems or LLM-based workflows. Demonstrated ability to set technical direction, mentor engineers, and drive organization-wide impact through AI or automation initiatives
• Strong experience working with Google Cloud Platform and BigQuery for data processing and analytics
• Proficiency in Python, SQL, modern APIs, and LLM platforms or frameworks (OpenAI, Gemini, Claude, or similar), including integrating enterprise SaaS systems such as HRIS or CRM platforms
• Experience designing scalable data pipelines, automation frameworks, and analytics platforms, with a strong knowledge of data modeling, ETL/ELT pipelines, and analytics infrastructure
• Experience working with sensitive data environments and implementing responsible AI practices, including anonymization, access controls, governance, and regulatory considerations when applying AI to People data
• Ability to partner with both technical and non-technical stakeholders to define and deliver solutions, document systems clearly, and translate evolving business needs into scalable technical solutions

Bonus Points

• Experience working with HR technology ecosystems such as Workday, Greenhouse, and learning platforms
• Background in People Analytics or workforce analytics platforms
• Experience building internal AI tools, copilots, or automation agents for business teams
• Familiarity with workflow automation platforms (Zenphi, n8n, Workato, Zapier, Make, etc.)
• Experience working in high-growth SaaS or distributed organizations
• Contributions to AI governance frameworks, responsible AI standards, or open-source AI tooling

In the United States, the base compensation range for this role is USD $174,986 - USD $209,983. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

About The Role  

Join our applications engineering team as an Additive Applications Engineer and become the go-to technical resource for our customers. In this customer-facing role, you'll be the first line of support, helping businesses successfully integrate our 3D printing solutions into their workflows through hands-on troubleshooting, on-site training, and proactive guidance. You'll work closely with both customers and internal teams to solve real problems and drive meaningful outcomes. 

What You Will Do  

• Serve as the primary technical point of contact for customers, diagnosing and resolving printing and process challenges with a solutions-first mindset 
• Conduct structured root-cause analyses and failure investigations to resolve recurring or complex issues 
• Deliver on-site customer training, installations, and advanced troubleshooting visits across North America 
• Develop material profiles and optimize 3D printing process parameters across a range of applications and materials 
• Create high-quality training materials, printing guides, and technical documentation that empower customers to self-serve 
• Apply Design for Additive Manufacturing (DfAM) principles to support customers with complex geometry and process challenges 
• Conduct material testing and characterization studies to improve print quality and reliability 
• Log customer interactions, cases, and follow-ups accurately in the CRM (HubSpot) 
• Provide pre-sales technical support and design consultation 
• Represent AON3D at trade shows, conferences, and customer meetings 
• Contribute to application notes and case studies that support the broader customer base 

What We Are Looking For  

• Post-secondary degree in engineering, science, additive manufacturing, or a related technical field 
• 3+ years of experience in an applications engineering or technical support role within the 3D printing or advanced manufacturing industry 
• Strong troubleshooting instincts and comfort with structured root-cause analysis 
• Genuine interest in working directly with customers and solving their technical challenges 
• Proficiency with CAD software and DfAM principles 
• Experience with FFF/FDM 3D printing processes and slicing software (PrusaSlicer or similar) 
• Excellent written and verbal communication skills in English 
• Ability to travel visa-free within Canada and the United States (up to 25% of the time) 
• Preferred: 
  • Experience with HubSpot or similar CRM platforms for managing customer cases and communications 
  • Hands-on experience with high-performance engineering materials (PEEK, PEKK, PEI, PI) 
  • Knowledge of thermoplastic material science and industrial applications 
  • Familiarity with quality management systems (ISO 9001, AS9100) 
  • Experience with design of experiments (DOE) or statistical analysis 
  • Background in manufacturing processes beyond additive manufacturing 
  • Project management experience 

Location and Work Model  

• Location: Montreal 
• Work model: Hybrid 
• Employment type: Full-time, Permanent 
• Travel: Willingness and ability to travel within Canada and the United States, up to 25% for customer visits and industry events 

Location: 

This position is remote within the United States or Canada. 

Role Summary:

We’re looking for a Senior Integrations Software Engineer to help build and evolve our next-generation Censys Platform. You’ll work closely with product and engineering teams building, deploying and maintaining scalable integrations between our Censys platform and third-party systems such as SIEMs, SOARs, and Threat Intelligence Platforms (TIPs). These integrations connect Censys Platform with critical security platforms, enriching attack surface data and delivering actionable insights directly into the tools practitioners and CISOs depend on for visibility, threat hunting and incident response. You will play a critical part in helping organizations, governments, and critical security providers of all shapes and sizes truly understand everything on the Internet and help make it a safer place.

What You’ll Do:

• Design, implement and maintain robust integrations between Censys Platform and third-party SOAR, SIEM, TIPs solutions
• Develop and operate scalable, high-availability API connectors
• Maintain and improve existing Censys open source APIs
• Write and maintain internal pipelines and IaC to manage the deployment of new and existing Censys-hosted integrations and services
• Design automated solutions for building, testing, monitoring, and deploying applications in a continuous integration environment
• Maintain a strong customer focus, prioritizing customer feature requests and helping define the integrations roadmap
• Stay current on emerging SOAR, SIEM, and TIP technologies to guide integration strategy

What You’ll Bring:

• 5+ years of software engineering experience, including 2+ years building and maintaining integrations or backend systems.
• Deep understanding of API-first development and service integration patterns
• Proven ability to integrate multiple APIs into a unified platform with well-defined service contracts
• Proficiency with Python (4+ yrs)
• Continuous drive to improve CI/CD processes and developer workflows
• Passion for writing clean, maintainable and scalable code
• Bias towards action and iterative approach to problem solving
• Ability to contribute thoughtfully to technical discussions and make data-driven decisions in a fast-paced environment
• Excellent communication and documentation skills — able to clearly explain complex technical concepts across engineering and non-engineering teams

What Sets You Apart:

• Expertise with REST/gRPC and micro service architecture
• Working knowledge of GO (Golang) with 2+ years of experience building backend services or integrations
• Hands-on experience integrating with security platforms (e.g., Splunk, Cortex XSOAR, Anomali, Recorded Future).
• Strong interest in harnessing AI and ML tools as a force multiplier - using it to code smarter, iterate faster boosting productivity and enhancing product capabilities
• A cyber security engineering background
• Experience with multiple cloud providers, especially Google Cloud
• Proven success integrating with vendor marketplaces (e.g., AWS, Splunk)
• Familiarity with open-source security frameworks like Metasploit, recon-ng, nmap, Qualys, and Tenable
• Skilled in building, deploying, and maintaining containerized services in Kubernetes environments
• Background in distributed systems, observability, or data ingestion frameworks
• Experiencing in managing database migrations and architecting scalable data access patterns
• You understand the value of building maintainable software, while building new services you are ensuring test coverage is enforced by strong CI practices, adding linters and code complexity checks. You value clean abstraction, and promote established design patterns, but also know when to innovate beyond conventions

For high cost of living areas (San Francisco Bay, New York City, and Seattle), the expected salary range for this position is $171,000 USD - $205,000 USD, plus bonus eligibility and equity.

For all other US locations, the expected salary range for this position is $141,000 USD - $190,000 USD, plus bonus eligibility and equity. Actual base salaries depend on level of experience and geographic location. 

Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 83% and 100% of range. Please discuss your specific work location with your recruiter for more information.

Censys offers a competitive benefits package to employees, including equity, health, dental & vision coverage, retirement with company contribution, parental leave, mental health & wellness benefits, flexible PTO, and a professional development stipend. Censys also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Censys’s compensation and benefits are subject to change and may be modified in the future. Please see our careers page for more details.

We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to your recruiter. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.

To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates to keep their cameras on during video interviews. Additionally, if hired, we would love to bring you to our HQ in Ann Arbor for in-person onboarding.

By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with our Censys Privacy Policy.

Our roots are in Ann Arbor, Michigan and our innovation is fueled by the team’s global perspectives. For this role, we are open to remote employees across the continental US. We value diversity and are committed to creating an inclusive environment for all employees. Censys is an equal opportunity employer.

Note to external recruiters/agencies: We are not currently engaging with third-party agencies for this role and will not accept unsolicited outreach. We kindly ask that you do not submit resumes or candidate profiles to our team.