At Asana, we're building AI-powered work management software to help every organization in the world become more effective in working together and realizing their goals. Hundreds of thousands of global teams rely on Asana to orchestrate their work — from everyday tasks to the most strategic company initiatives.

As Asana evolves into a platform where humans and AI agents work together, customers need products that are both more connected and more trustworthy. They need clear ways to extend Asana through APIs, integrations, and developer tools, along with clear controls for who can access information, what people and agents are allowed to do, and how that access is governed across teams, tools, and workflows.

We’re looking for a Product Director, Platform & Ecosystem to lead two closely connected areas at Asana: Ecosystem and Sharing & Permissions. In this role, you’ll define the strategy for the APIs, developer platform, integration rails, and strategic integrations that extend Asana beyond our own UI, as well as the access controls, roles, delegation, and governance capabilities that make collaboration secure and enterprise-ready. You’ll help make Asana more open and extensible without compromising trust, governance, security, or clarity.

What you’ll achieve

• Define the vision, strategy, and roadmap for platform capabilities that make Asana more extensible and enterprise-ready, from APIs and integration rails to permissions, roles, and governance.
• Lead teams building the developer platform, integration foundations, and strategic integrations that help customers, partners, and internal teams connect Asana to the rest of their stack. 
• Shape how humans, applications, and AI agents securely access information and take action across core work objects and collaboration surfaces.
• Partner closely with teams responsible for admin experiences, enterprise governance, security, and platform foundations to deliver systems that are powerful, understandable, and safe by default.
• Balance long-term platform architecture with near-term product delivery, migrations, customer needs, and execution across a broad surface area.
• Directly manage ~4-5 direct reports and oversee the strategy and execution of five R&D teams.

This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

About you

• You have proven experience in product management (10+ years), including one or more of the following areas: platform, APIs, developer products, integrations, enterprise B2B, security, governance, or other systems-heavy domains.
• You are comfortable operating in complex enterprise environments with security, compliance, governance, and interoperability requirements.
• You are a strong cross-functional leader who can align engineering, design, research, data science, GTM, and executive stakeholders around hard tradeoffs.
• You are a clear, rigorous communicator who can simplify complex concepts for both technical and non-technical audiences.
• You are curious about AI tools and excited by the product implications of more agentic ways of working.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $353,000 - $415,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.

Please note this role is cross-posted in San Francisco. 

#LI-Hybrid

At Asana, we're building AI-powered work management software to help every organization in the world become more effective in working together and realizing their goals. Hundreds of thousands of global teams rely on Asana to orchestrate their work — from everyday tasks to the most strategic company initiatives.

As Asana evolves into a platform where humans and AI agents work together, customers need products that are both more connected and more trustworthy. They need clear ways to extend Asana through APIs, integrations, and developer tools, along with clear controls for who can access information, what people and agents are allowed to do, and how that access is governed across teams, tools, and workflows.

We’re looking for a Product Director, Platform & Ecosystem to lead two closely connected areas at Asana: Ecosystem and Sharing & Permissions. In this role, you’ll define the strategy for the APIs, developer platform, integration rails, and strategic integrations that extend Asana beyond our own UI, as well as the access controls, roles, delegation, and governance capabilities that make collaboration secure and enterprise-ready. You’ll help make Asana more open and extensible without compromising trust, governance, security, or clarity.

What you’ll achieve

• Define the vision, strategy, and roadmap for platform capabilities that make Asana more extensible and enterprise-ready, from APIs and integration rails to permissions, roles, and governance.
• Lead teams building the developer platform, integration foundations, and strategic integrations that help customers, partners, and internal teams connect Asana to the rest of their stack. 
• Shape how humans, applications, and AI agents securely access information and take action across core work objects and collaboration surfaces.
• Partner closely with teams responsible for admin experiences, enterprise governance, security, and platform foundations to deliver systems that are powerful, understandable, and safe by default.
• Balance long-term platform architecture with near-term product delivery, migrations, customer needs, and execution across a broad surface area.
• Directly manage ~4-5 direct reports and oversee the strategy and execution of five R&D teams.

This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

About you

• You have proven experience in product management (10+ years), including one or more of the following areas: platform, APIs, developer products, integrations, enterprise B2B, security, governance, or other systems-heavy domains.
• You are comfortable operating in complex enterprise environments with security, compliance, governance, and interoperability requirements.
• You are a strong cross-functional leader who can align engineering, design, research, data science, GTM, and executive stakeholders around hard tradeoffs.
• You are a clear, rigorous communicator who can simplify complex concepts for both technical and non-technical audiences.
• You are curious about AI tools and excited by the product implications of more agentic ways of working.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $297,000 - $350,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.

Please note this role is cross-posted in Vancouver. 

#LI-Hybrid

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.

We're looking for a Staff Data Scientist to help define Asana's growth strategy as users increasingly discover and adopt software through LLM interfaces like ChatGPT, Claude, and Gemini. With millions of knowledge workers now starting their workday in conversational AI tools, we're at an inflection point in how productivity software reaches users. You'll drive Asana's acquisition playbook for the emerging LLM-driven channels and re-imagine new customer onboarding in the AI-era. As part of the PLG organization, you'll leverage data to influence how new users discover, learn about,  and decide to start using and paying for Asana.

Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling.

This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve

• Work closely with Product Managers and User Researchers (UXR) to understand the needs of our new customers in their first few minutes of interaction with Asana, employing data frameworks and methodologies to understand our user segments, visualize the new user funnel, identify levers for driving conversion revenue, and personalize the onboarding journey to ensure better adoption outcomes. 
• Act as the "Data Lead" in a triad with Product and Engineering stakeholders to identify multi-year growth opportunities and prioritize the roadmap.
• Design experiments that measure product progress, and own key performance metrics.
• Collaborate and mentor fellow Data Scientists in the team to research, identify and disseminate best practices across teams.
• Work in a high-performance, dynamic team with a strong focus on velocity and software quality and learn about the upcoming field of AI-Optimization and how LLMs can help boost Asana’s value proposition. 

About you

• 5-7 years of data science experience, with majority in growth-focused roles at B2B SaaS companies 
• Proven track record driving acquisition and activation for B2B SaaS products, with specific experience in top-of-funnel growth and new user acquisition.
• 0→1 builder mentality. You've demonstrated the ability to thrive in highly ambiguous environments where you're inventing new playbooks rather than executing existing ones. You're energized by pioneering work.
• Experience with AI/ML products, LLM APIs, or third-party platform integrations. Strong preference for candidates who've worked with conversational AI or built features integrating ChatGPT, Claude, or similar platforms.
• Strong analytical foundation with deep fluency in experimentation, A/B testing, and funnel optimization.
• Exceptional cross-functional leadership. You write crisply, tell clear stories, and can influence across product, engineering, design, partnerships, sales, and executive stakeholders. You bring clarity to ambiguity.
• Strategic business acumen to balance user experience with revenue objectives while translating emerging technology trends into actionable product strategy.
• Genuine AI enthusiasm. You're curious, adaptable, and genuinely excited about how LLMs are transforming software discovery and adoption.
• Expert in relational data modeling and SQL and fluent in at least one modern language useful for data processing (e.g. R, Python, or Scala).
• Familiarity with statistical methods including experimental design, regression, causal inference with observational data and time series modeling.
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. 

For this role, the estimated base salary range is between CAD 211,000-240,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

#LI-Hybrid

We're building a finance team that operates like a strategic asset, not a back-office function. Automated  planning infrastructure and AI-embedded systems handle the routine. That frees this role to do something harder and more valuable: provide unique insight, help the business see around corners and influence the business where needed.

As Senior Manager of FP&A, you'll own a) building systems, b) budgeting/forecasting across Cost of Sales, G&A, R&D, and select GM business models and c) deep financial partnership. You'll partner directly with the ELT and their counterparts. This role is for someone who is equally comfortable building a cost model one day and challenging a business leader's assumptions the next.

You will report to the SVP of Strategic Finance and have one direct report.

What You'll Do:

• Own the AOP and monthly/quarterly forecasts across all assigned functions, from bottoms-up budget builds to ELT-ready output.
• Be the financial thought partner functional leaders actually want to call - proactively surfacing risks, opportunities, and the implications of strategic choices before they become surprises.
• Lead monthly business reviews with sharp variance analysis and a clear point of view, not just a slide of numbers.
• Build dynamic models covering headcount, OpEx and unit economics. 
• Build and support GM-level business model work, including investment analysis, scenario planning, and beyond.
• Partner cross-functionally with Sales Finance, Corporate Finance, Accounting, Procurement, HR and other functional business units to optimize our records and connect operational drivers to financial outcomes.
• Build systems & processes (including leveraging agentic workflows and AI-assisted tools) to automate the recurring workstreams.
• Develop one direct report with the same standard of rigor and business partnership you hold yourself to.
• Be a leader and culture carrier on the FP&A team - working with your peers to optimize and uplevel our processes. 

What You Bring:

• Technical: Expert financial modeling skills. You build models others can use, stress-test them, and know when simplicity beats sophistication. Excel mastery is non-negotiable. Systems/coding expertise is a plus- this role is expanded to work with large datasets, automate work, build dashboards and beyond.
• Business Fluency:  You understand SaaS and consumption-based economics.
• Executive Presence:  You are comfortable and crisp when presenting to the ELT. You can read the room, hold your ground with data, and distill a complex financial story into simple concepts.
• High EQ:  Business partners describe you as someone who makes them better. You ask the questions they didn't think to ask, follow through, and never make people feel managed.
• AI Fluency:  You're genuinely curious about how AI is changing finance work — and you've already started using it.

Qualifications:

• 8+ years in FP&A or strategic finance, with meaningful time in a senior or ELT-facing role.
• Background in mature SaaS or technology.
• Bachelor's in Finance, Accounting, or Economics; MBA or CPA a plus, not a requirement.

#LI-JH1 #LI-Hybrid

Role Overview

As a Principal Product Applications Engineer at Astera Labs, you will be at the forefront of enabling the world's leading cloud service providers and server/network OEMs to successfully deploy connectivity solutions. This high-impact role sits at the intersection of cutting-edge silicon, firmware, and customer success—where you'll tackle complex technical challenges that push the boundaries of AI infrastructure connectivity.

You will serve as a trusted technical advisor to strategic customers, guiding them through design-in, bring-up, and optimization of Astera Labs products. With a strong firmware orientation, you'll dive deep into embedded systems, debug intricate firmware-hardware interactions, and drive issues to resolution across the full stack. Your insights from the field will directly influence product roadmaps and engineering priorities, making you a critical bridge between customers and our R&D teams.

This is an opportunity to work on industry-defining connectivity products that power next-generation data centers and AI platforms—all within a fast-paced, hypergrowth environment where your contributions have immediate and visible impact.

Key Responsibilities

• Customer Technical Engagement
  • Provide expert technical guidance to tier-1 customers throughout the design-in lifecycle, from early evaluation through production deployment
  • Build trusted relationships with customer engineering teams, serving as the go-to resource for product integration
  • Deliver technical presentations, training sessions, and design reviews to accelerate customer success
• Firmware Debug & Issue Resolution
  • Investigate and reproduce customer-reported issues involving firmware, silicon, hardware design, and system-level interactions
  • Drive root cause analysis and coordinate cross-functional teams to deliver timely resolutions
  • Develop firmware-based tools, scripts, and utilities to streamline debug and validation workflows
• Technical Collateral & Knowledge Sharing
  • Create high-quality application notes, integration guides, and technical documentation for internal and external audiences
  • Provide actionable feedback to product, firmware, and silicon teams to continuously improve products and customer experience
  • Contribute to the development of reference designs and best practices for product deployment
• Lab Validation & Bring-Up
  • Execute hands-on silicon and system bring-up activities, including firmware validation and performance characterization
  • Utilize lab equipment such as protocol analyzers, high-speed oscilloscopes, and traffic generators to diagnose complex issues
  • Support interoperability testing across diverse customer platforms and configurations

Basic Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, or related field
• 8+ years of experience in product applications, field applications, or systems engineering roles supporting complex semiconductor products
• Strong firmware development and debugging skills, including proficiency in embedded C and Python
• Experience with high-speed interfaces such as PCIe Gen5/6/7 or Ethernet
• Demonstrated ability to triage and resolve multi-layer issues spanning silicon, firmware, and system environments
• Excellent written and verbal communication skills with a track record of producing clear technical documentation

Preferred Qualifications

• Master's degree in Electrical Engineering, Computer Engineering, or related field
• Experience with Ethernet products, retimers, or PCIe connectivity solutions
• Hands-on experience with protocol analyzers, high-speed oscilloscopes, and BERTs
• Background working directly with cloud service providers, server OEMs, or networking equipment manufacturers
• Understanding of data center architectures including servers, AI platforms, JBOGs/JBODs, and network switches
• Familiarity with physical layer concepts and signal integrity fundamentals

The base salary range for this role is CAD 180,000 – CAD 205,000. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for a performance bonus, equity, and benefits.

Your role
As an Applied Scientist at Dialpad, you'll be a key driver within our AI team, conducting R&D to power the next generation of autonomous voice agents. While traditional NLP focuses on analyzing static text, your work will center on real-time, multimodal systems that can listen, reason, and take action during live customer interactions. A major focus of the team is advancing DialpadGPT, our proprietary LLM, specifically optimizing it to drive orchestrated agentic workflows and handle complex task execution. Beyond the technical skills, we are a team that values collaboration, continuous learning, and the application of diverse perspectives to solve complex problems. Collaboration will be key as you work alongside our engineering, design, and product teams to build groundbreaking agentic applications.

If you're passionate about agentic and multimodal AI and contributing to a team that's changing the face of business communications, you'll find yourself right at home with us.

This position reports to the Senior Manager of the NLP team and has the opportunity to be based in Vancouver, BC.

What you’ll do

• Research and develop state-of-the-art algorithms for autonomous voice agents, specifically focusing on real-time speech processing and reasoning loops.
• Advance DialpadGPT: Design and execute distributed training strategies to optimize our proprietary LLMs for agentic behaviors, including precise tool use, instruction following, and latency-constrained generation.
• Conduct rigorous evaluation and monitoring of model performances and troubleshoot issues with a keen understanding of resultant business impacts.
• Design and implement orchestration layers that effectively chain LLMs with external tools and APIs to solve complex customer problems autonomously.
• Work with large-scale multimodal datasets (text, audio) to improve model robustness and alignment.
• Collaborate with engineering, product, and design teams to deploy scalable, low-latency models and algorithms in production.
• Submit papers to top-tier academic conferences (ACL, EMNLP, NeurIPS) and contribute to the team’s research culture.

Skills you’ll bring

• Master’s or PhD degree in Computer Science, Machine Learning, Computational Linguistics, or a related quantitative field.
• 2+ years of industry experience in Machine Learning/NLP for Master’s degree holders, or 1+ years for PhD holders.
• Deep understanding of LLMs: Demonstrated experience with training, fine-tuning (PEFT/LoRA), and alignment techniques (RLHF/DPO) for specific domains or tasks.
• Experience with Agentic Systems: Familiarity with building autonomous agents, including concepts like tool use, function calling, reasoning chains (CoT), and memory management.
• Strong proficiency in Python and PyTorch, with the ability to write clean, production-ready research code.
• Research Track Record: A history of publishing in top-tier conferences (ACL, EMNLP, NeurIPS, ICASSP) is highly valued.
• Multimodal Awareness: Familiarity with speech technologies (ASR, TTS) or processing real-time audio streams is a strong plus.
• Ability to bridge the gap between research and product, translating complex technical concepts into business value.
• Familiarity with version control tools like Git for collaborative projects.

Our co-op/intern experience is unique and designed to prepare you for professional success. Our ultimate goal is to give you the mentorship, training and work experience you need to start your career successfully!

As part of Visiers R&D organization, our data science team is responsible for the development of advanced numerical algorithms and statistical techniques that generate business insights from human resource data. Mentored by an experienced Data Scientist you will collaborate on projects that match both your interests and Visier business needs. This could be software engineering focused (e.g. enhancing our machine learning pipelines or prototyping of automated insight generation), or research focused (e.g. unveiling compelling insights into the workforce from our unique multi-million employee cross-customers data set).

What you'll be doing...

• Modelling the problem at hand, such that it directly solves underlying business problems
• Brainstorming to identify the correct data required to solve business problems
• Performing statistical analysis on data to build statistical/machine learning models
• Identifying the right metrics to measure the success of the models and projects
• Communicating and presenting your work to stakeholders across the organisation
• Conducting independently research, in order to gain domain knowledge and learn cutting-edge techniques

What you'll bring to the table...

• Strong understanding of statistics and how to apply scientific methods to data using algorithms
• Coding skills in Scala, Python or other relevant languages
• Attention to detail and big picture thinking
• Currently pursuing your Masters or PhD
• Knowledge in one of the following areas would be an advantage:
• Hypothesis testing
• Machine learning techniques
• Scientific analysis and knowledge generation

The base pay range for this position in Canada is $5,500k / month.

The compensation offered will be determined by factors such as relevant qualifications, experience, knowledge and skills. Many of our positions are eligible for additional types of compensation (e.g., commission plans, bonus, etc.) which our Talent Acquisition team will share with you if you interview for the role.

Position Summary: 

Seeking a driven and motivated engineer to join our sales team focusing on growing business with existing customers and developing new business. This position will involve applications engineering, sales support and field service work. Sales Engineers should be comfortable working in a result-driven, fast-paced environment. 

Position will involve extensive formalized training plus work under a mentor, developing skills and gaining an understanding of CaptiveAire products, how we go to market, application engineering processes etc. as well as business development and sales strategies. 

Why Work for CaptiveAire? 

• Nation’s leading manufacturer of commercial kitchen ventilation systems, and now offering a complete solution of fans, heaters, ductwork and HVAC equipment.  Our primary purpose is to provide fully integrated, sustainable HVAC Systems.
• Leader in the industry for over 40 years with innovative technologies, unmatched service, competitive pricing, and rapid lead times.
• Mission: to provide the highest quality products and service to our users at the lowest possible price
• Strong commitment to the development of our employees, including continuous education opportunities like sponsorship for Professional Engineering license and continuous education through weekly webinars and company developed technical videos 

What our employees have to say: 

There is never a day you don’t learn something new at CaptiveAire. I am able to learn something new due to the freedom to take on new tasks independently and problem solve. 

I love the mindset of continuous learning and pushing the bounds of your capabilities and knowledge. I love the people I work with and the in-office work environment.I love how Captiveaire is all about connections, with customers, coworkers, end users, and everyone in between.  

One of the things I appreciate most about CaptiveAire is how strongly it embodies the entrepreneurial spirit. I’m empowered with the autonomy to manage my work independently, while also benefiting from the robust support and resources of a large, well-established company. 

CaptiveAire is fast-moving and no-nonsense. We operate differently than any other company that I've worked for with our decentralized structure. Quick action is taken when a good idea is presented. We are focused on end users where the rest of the industry is very short-sighted. We are on the front lines, actively changing the landscape of the HVAC industry. 

Learn more about CaptiveAire and our products here 

A Day in the Life: 

A technical sales role encompasses a wide variety of tasks where one day does not look exactly like the next. The projects our team handles are high in volume and unique from one another, spanning throughout the whole course of design, procurement, coordination, and post-sale support. 

Typical tasks include:

• Outside sales meetings and calls to build relationships with existing and new customers
• Application engineering to apply our products using sound engineering principles 
• Project management of installations in progress - Managing schedules/plans to guarantee we can get equipment on site when the site needs it, in turn creating satisfied and returning customers. 
• Service and technical support of existing equipment 
• Supporting end users to maintain high levels of customer service, from assisting contractors with wiring on site to remote troubleshooting for staff in the kitchen. 

Two to three full days per week in the office working on bids, one to two days on job sites, and dedicate another day to developing the territory. Territory development may include giving presentations to the engineering community, visiting new customers, or expanding contacts with an existing account.

Comments from some of our sales engineers:  

Every day I get to help someone. Whether it's an engineer with a design, a contractor with a troubleshooting issue, or an end user looking for help to obtain better indoor air quality. I get to use my engineering skills, people skills and business skills every day. 

Our main "role" is not to sell products but to provide solutions - kitchen ventilation solutions, commercial ventilation solutions, heating/air conditioning solutions. I enjoy getting to work directly with end users and helping them complete their business goals. Attending a soft opening after completing a full design-build project with an owner is rewarding. 

I love the balance between working on designs in the office and also having that face to face interaction with our customers. It's awesome to handle the design phase of a project, then also take charge of the procurement process with the end user/customer and lastly watch our equipment perform as designed once installed and the project is complete. I also love the growth aspect of my role, I enjoy molding and shaping our business in order to set it up for success and then see the value we are adding to the market. 

Primary Job Responsibilities: 

• Provide integrated application engineering and design support for a wide range of ventilation applications with the goal of providing sustainable products and the latest technologies best designed to meet the customers’ needs. 
• Work directly with Engineers, Contractors, End Users, and Food Service Dealers. 
• Daily tasks include inside sales support, application engineering and outside sales. 
• Responsibilities will vary and may include presentations, quotes, submittals, technical product support, job site visits and hands on troubleshooting as needed. 
• Educate and promote CaptiveAire products to users in your market.  This includes conference calls, meetings, organizing presentations, and product demos. 
• Research and develop new business opportunities with new and existing users. 
• Top notch customer service and willingness to go above and beyond to serve the customer. 
• Quick turnaround times a priority.  
• Continuously evaluate and improve processes as well as the customer experience. 

Required skills: 

• 2-3 years experience 
• 4 year technical degree in a mechanical, electrical, construction or science-oriented curriculum preferred 
• Excellent computer, organizational and communication/presentation skills 
• Problem solving with a passion for continuous learning 
• Strong desire to interface with the customer 
• Embrace new technologies and business savvy 
• Passion for work with aggressive nature to succeed 
• Willing to travel for various training opportunities 
• MUST BE A “GO GETTER”! 

Benefits: 

• Extended Health Care and Dental benefits
• Disability & life insurance 
• Retirement plan with employer match 
• Paid holidays 
• Paid time off (PTO) based upon tenure 
• Flexible spending account (FSA) 
• Tuition reimbursement, including for Professional Engineering (P.Eng) License  
• Relocation assistance 

 
Salary: 

$70k-$100k base, negotiable dependent on experience, with additional monthly bonus based on productivity and profits.  

Captive-Aire Systems, Inc. is proud to be an equal opportunity workplace. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, uniformed services, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. 

To qualify, applicants must be legally authorized to work in the United States. At this time, we are not able to consider applicants that require sponsorship, now or in the future, for employment visa status. 

#LI- TL1

#P1

Applicants are encouraged to apply by May 4th, 2026 at 5:00 PM PST. Job postings are subject to close early or extend longer than the anticipated closing date. We recommend applying as soon as possible.

Where You Will Work: Vancouver Mall Branch: 8405 Vancouver Mall Drive, Vancouver WA 98662 (Branches). Travel is required for this position.

Pay Range: The target hourly pay range for this position is $20.56 - $23.37. The full hourly pay range is $18.70- $28.04.

• We provide an additional $2.00 per hour bilingual differential for those employees who can support our members' financial needs effectively in a second language; subject to verification of strong grasp of financial terms utilizing language skillset.
• Compensation decisions are determined using factors such as relevant job-related skills, experience, and education or training. Should an offer of employment be made, we will consider individual qualifications. In addition to your salary, compensation incentives are available for the hired applicant. Incentives are performance based and targets vary by role.

Job Overview:

This position embodies Peak Credit Union’s mission and values by delivering exceptional service, building trusted relationships, and providing personalized financial solutions that empower members to achieve their goals. Through consultative guidance, accurate transactions, and thoughtful problem resolution, this role strengthens Peak’s vision to create financially secure, empowered communities. Rooted in authenticity, boldness, collaboration, dignity, and empathy, the Financial Solutions Guide 2 advances Peak’s purpose of expanding access to financial empowerment and independence, ensuring operational excellence and consistent service across the branch network.

What You’ll Do: 

Qualifications: 

• Minimum two (2) years of experience in retail banking, customer service, or financial services. 

Bonus Points If You Have: 

• Bilingual skills preferred.
• FiCEP, Financial Counseling Certification.

What You’ll Bring:

• Ability to perform in an environment with frequent changes and competing demands.  
• Strong communication skills with the ability to engage members and build trust.  
• Ability to continuously learn and maintain knowledge of credit union systems, processes, and compliance requirements.  
• Ability to problem solve and make decisions relevant to the role and experience.  
• Ability to embrace and promote a positive, collaborative work environment.  
• Ability to role model our core values.  
• Maintain confidentiality with minimal supervision.  

Total Rewards:

This position is eligible for Full-Time Regular benefits. Employees and their eligible family members have access to a wide array of employee benefits, such as medical, dental, vision and life insurance coverage.

• Includes an option for Medical, Dental, and Vision insurance to be paid at a 100% by company for the employee only coverage. 
• We also offer Health Care FSA (HCFSA), Health Savings Account (HSA) with employer contributions, and Dependent Care FSA (DCFSA).
• Employees also have access to Life and AD&D insurance.
• Employees are able to enroll in our 401k plan.
• Full-Time Regular employees accrue 8 hours of vacation and 8 hours of sick leave, on a monthly basis. 
• Full-Time Regular hired employees also receive 11 paid holidays throughout the calendar year, 1 floating holiday, 16 hours of self-care time, and 16 hours of volunteer time.

All benefits except 401k start the first of the month following date of hire. Employees become eligible to contribute to 401k on the first of the month following 60 days of employment.

Databricks is on a mission to simplify and democratize data and AI — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a Fullstack software engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products.

Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI.  

We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including:

• Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself.
• AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack. 
• Unity Catalog Business Semantics - Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this past Data + AI Summit but we have a lot more in store. Engineers on this team work at the intersection of large scale distributed systems, data modeling, governance, and AI enablement.
• Databricks Apps - Databricks Apps is one of the fastest growing products at Databricks, used by more than 2,500 customers who have created more than 20,000 apps — and it was only GA’ed this past June. The Apps team is one of the few teams that are exposed to low-level platform components (k8s, networking), owns fundamental tech (apps runtime and proxy), and is heavily investing in app builder AI agents.

What we look for:

• 5+ years of experience with HTML, CSS, and JavaScript.
• Passion for user experience and design and a deep understanding of front-end architecture.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value.
• Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember).
• 5+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go).
• Good knowledge of SQL.
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
• Experience developing large-scale distributed systems.

SOCi, the leader in AI-powered marketing solutions for multi-location businesses, is currently looking for an experienced Enterprise Customer Success Manager to serve as the strategic account leader, driving transformative initiatives and building enduring relationships with our top-tier customers. Your role will encompass preemptive churn mitigation, revenue growth initiatives, and fostering strategic partnerships to redefine customer success. Drawing from deep industry knowledge and innovative strategies, you will orchestrate internal and external endeavors to shape the future of product adoption and customer expansion.

SOCi expects to pay a base salary in the range of $110,000 - $150,000 USD base plus commission. Within the range, individual pay is determined by factors such as job-related skills, experience, and relevant education or training.  

Who We Are

SOCi is the leader in AI-powered marketing solutions for multi-location businesses. With its proprietary Genius AI™ and suite of Genius Agents™, SOCi provides a first-of-its-kind, AI-powered digital workforce capable of handling the workload of 1,000 local marketers™, empowering brands to achieve unmatched digital visibility, strengthen customer engagement, and scale faster than ever before.

SOCi is recognized by Fast Company as one of the World's Most Innovative Companies, and is trusted by nearly 1,000 top brands—including Ford, Ace Hardware, Kumon, Liberty Tax, and more—to automate and optimize local marketing tasks across all locations. Founded in 2012 and backed by leading strategic investors, SOCi is transforming how multi-location brands manage and scale their marketing efforts. You can view our Awards and Accolades here!

How You’ll Make an Impact

• Lead strategic initiatives to preemptively identify and avoid churn risks across a diverse and complex customer portfolio.
• Drive transformative revenue growth initiatives for our top-tier customer base, shaping the future of product adoption and pioneering new avenues for customer expansion and loyalty.
• Orchestrate and lead transformative internal and external endeavors, building relationships across all functional areas including sales, onboarding, support, product management, finance, and operations.
• Establish and cultivate strategic partnerships with our clientele, embodying the pinnacle of trusted advisory roles and setting the gold standard for relationship depth and quality.
• Conduct deep dives into lifecycle metrics, optimizing strategies for onboarding, enablement, adoption, and retention, and ensuring seamless execution through collaborative resource marshaling.
• Serve as a mentor to junior team members, leveraging enterprise-level customer success experience to shape customer outcomes and drive team excellence.
• Demonstrate mastery in organizational acumen, orchestrating tasks and steering high-stakes priorities with precision and foresight, while remaining committed to personal, team, and company achievement.
• Prioritize the customer at the forefront, exhibiting technical mastery and sales leadership enriched by experience in local marketing, social marketing, or reputation management.
• Utilize strong analytical, problem-solving, and communication skills to develop quick, accurate situational awareness and craft memorable presentations that resonate with diverse audiences.
• Interact with and influence C-level executives, exemplifying an adeptness in conceptualizing and executing solutions for intricate customer dilemmas.

What You’ll Need to be Successful

• Remote Opportunity: Ability to work 100% remotely 
• Must Have:  
• 8+ years of deep enterprise-level customer success experience, with a track record of shaping customer outcomes and mentoring junior team members.
• Extensive experience leading and significantly impacting sales and advanced customer success outcomes.
• Driven by personal, team, and company achievement, with a commitment to excellence.
• Strong analytical, problem-solving, and communication skills, with an understanding of situational best practices.
• Proven track record of interacting with and influencing C-level executives.
• Willing to adapt to changes in the job description as deemed necessary by the business and accept all other duties as assigned
• Desired Skills (but not required):  
• Experience in SaaS, Local Search, Social Media Management, and enterprise software is preferred.
• Fluency in French, Spanish, or German is a plus
• Education: Bachelor's degree or equivalent education and relevant experience.

This position will remain open with applications due by March 27, 2026. This position is being hired on an urgent basis. The application window may close before March 27, 2026 if SOCi receives a sufficient number of applications to select a candidate prior to that date.

SOCi, the leader in AI-powered marketing solutions for multi-location businesses, is currently looking for an experienced Enterprise Customer Success Manager to serve as the strategic account leader, driving transformative initiatives and building enduring relationships with our top-tier customers. Your role will encompass preemptive churn mitigation, revenue growth initiatives, and fostering strategic partnerships to redefine customer success. Drawing from deep industry knowledge and innovative strategies, you will orchestrate internal and external endeavors to shape the future of product adoption and customer expansion.

SOCi expects to pay a base salary in the range of $105,000 - $150,000 CAD base plus commission. Within the range, individual pay is determined by factors such as job-related skills, experience, and relevant education or training.  

Who We Are

SOCi is the leader in AI-powered marketing solutions for multi-location businesses. With its proprietary Genius AI™ and suite of Genius Agents™, SOCi provides a first-of-its-kind, AI-powered digital workforce capable of handling the workload of 1,000 local marketers™, empowering brands to achieve unmatched digital visibility, strengthen customer engagement, and scale faster than ever before.

SOCi is recognized by Fast Company as one of the World's Most Innovative Companies, and is trusted by nearly 1,000 top brands—including Ford, Ace Hardware, Kumon, Liberty Tax, and more—to automate and optimize local marketing tasks across all locations. Founded in 2012 and backed by leading strategic investors, SOCi is transforming how multi-location brands manage and scale their marketing efforts. You can view our Awards and Accolades here!

How You’ll Make an Impact

• Lead strategic initiatives to preemptively identify and avoid churn risks across a diverse and complex customer portfolio.
• Drive transformative revenue growth initiatives for our top-tier customer base, shaping the future of product adoption and pioneering new avenues for customer expansion and loyalty.
• Orchestrate and lead transformative internal and external endeavors, building relationships across all functional areas including sales, onboarding, support, product management, finance, and operations.
• Establish and cultivate strategic partnerships with our clientele, embodying the pinnacle of trusted advisory roles and setting the gold standard for relationship depth and quality.
• Conduct deep dives into lifecycle metrics, optimizing strategies for onboarding, enablement, adoption, and retention, and ensuring seamless execution through collaborative resource marshaling.
• Serve as a mentor to junior team members, leveraging enterprise-level customer success experience to shape customer outcomes and drive team excellence.
• Demonstrate mastery in organizational acumen, orchestrating tasks and steering high-stakes priorities with precision and foresight, while remaining committed to personal, team, and company achievement.
• Prioritize the customer at the forefront, exhibiting technical mastery and sales leadership enriched by experience in local marketing, social marketing, or reputation management.
• Utilize strong analytical, problem-solving, and communication skills to develop quick, accurate situational awareness and craft memorable presentations that resonate with diverse audiences.
• Interact with and influence C-level executives, exemplifying an adeptness in conceptualizing and executing solutions for intricate customer dilemmas.

What You’ll Need to be Successful

• Hybrid Opportunity: This role is fully remote until our Vancouver, BC and Toronto, ON offices are established. Once the office is in place, it will transition to a hybrid model, with a 50/50 split between remote and in-office work.
• Must Have:  
• 8+ years of deep enterprise-level customer success experience, with a track record of shaping customer outcomes and mentoring junior team members.
• Extensive experience leading and significantly impacting sales and advanced customer success outcomes.
• Driven by personal, team, and company achievement, with a commitment to excellence.
• Strong analytical, problem-solving, and communication skills, with an understanding of situational best practices.
• Proven track record of interacting with and influencing C-level executives.
• Willing to adapt to changes in the job description as deemed necessary by the business and accept all other duties as assigned
• Desired Skills (but not required):  
• Experience in SaaS, Local Search, Social Media Management, and enterprise software is preferred.
• Fluency in French, Spanish, or German is a plus
• Education: Bachelor's degree or equivalent education and relevant experience.

This position will remain open with applications due by March 27, 2026. This position is being hired on an urgent basis. The application window may close before March 27, 2026 if SOCi receives a sufficient number of applications to select a candidate prior to that date.

Location: Vancouver (On-site)

No of openings: 1

We are seeking a motivated and curious AI Intern (Statistical Programming Focus) to join our team for the May 2026 semester (May - August 2026). In this role, you will contribute to the development of internal workflows and tooling that help modernize analytical codebases across SAS, R, and Python, with a particular focus on using AI-assisted development tools to improve translation, testing, and workflow efficiency.

Key Responsibilities

• Contribute to the design, testing, and improvement of internal workflows and tools that support translation and modernization of analytical code across SAS, R, and Python.
• Analyze existing SAS programs to understand business logic, statistical methods, data transformations, and workflow structure, and support accurate translation into modern programming environments.
• Assist in designing, testing, and deploying AI-assisted and agentic workflows for internal projects, with potential exposure to client-facing use cases over time.
• Follow Git-based development practices and contribute to CI/CD workflows that support testing, deployment, and ongoing improvement of internal tools and automation pipelines.
• Participate in testing, troubleshooting, debugging, and refining workflow performance, translated code quality, and overall usability of internal solutions.
• Collaborate with senior consultants to document and standardize development processes, translation approaches, and workflow design patterns.
• Contribute knowledge sharing through presentations, demos, documentation, or internal walkthroughs.

What You Bring

• Currently enrolled in a university program in Statistics, Computer Science, Data Science, Mathematics, or a related field.
• Strong proficiency in SAS is required. You must be comfortable reading, understanding, and working with existing SAS programs independently. Familiarity with common statistical modelling is expected.
• Working knowledge of R or Python is preferred; familiarity with both is an asset.
• Interest in statistical programming, workflow automation, code modernization, and practical applications of AI in software development.
• Familiarity with Git, version control best practices, and CI/CD development workflows are an asset.
• Familiarity with AI-assisted coding tools such as Claude Code, GitHub Copilot, Cursor, or similar tools is strongly preferred.
• Exposure to LLMs, prompt-based development, automation frameworks, or orchestration tools is an asset.
• Strong problem-solving skills, attention to detail, and ability to work through ambiguity in a hands-on technical environment.
• Exposure to front-end languages such as TypeScript and Node.js is nice-to-have.
• Interest in building internal tools and gaining exposure to the product development lifecycle, from problem framing and prototyping to testing, iteration, and documentation.
• Comfort with technical writing – documenting code, workflows, or processes
• Strong communication and teamwork abilities.

Apply now with your resume and a note on how your experience aligns with this role.

At Robots & Pencils, we build meaningful, scalable digital products that solve real business problems. We are looking for a Staff Product Manager who combines deep Generative and Agentic AI fluency with hands-on building ability to own AI product outcomes end-to-end. As a Staff PM, you're accountable for initiative-level outcomes, stakeholder satisfaction, and contributing to R&P's AI product practice. You think in systems, work backwards from the customer problem, and stay relentlessly curious about what's next in AI

Enterprise clients want to deploy Agents -  moving from a promising demo to a production system that works at scale, meets security and compliance requirements, and delivers measurable business value is hard. This role owns that problem. You'll be part of a GenAI initiative within the AWS ecosystem, building the evals, tools, patterns, and reference architectures that make AI deployment repeatable.  The mindset: prove it works, test assumptions early, and document while building.

Key Responsibilities

Product Strategy & AI Vision

• Define and drive the product vision, strategy, and roadmap for GenAI solutions - with agentic AI (agent orchestration, tool use, multi-step workflows) as the primary focus - connecting AI capabilities to enterprise business outcomes
• Translate enterprise problems into structured product requirements; reframe feature requests into outcome-driven priorities with explicit tradeoffs on invest in vs. defer
• Balance near-term deployment milestones with long-term platform scalability and sustainability
• Monitor the competitive GenAI landscape and emerging agentic patterns to inform roadmap and technology decisions

Discovery & Validation

• Research how enterprise users interact with AI agents and where they lose trust; frame the riskiest assumptions as testable hypotheses and de-risk them first
• Design and run experiments - POCs, pilot deployments, scenario-based testing of multi-step workflows, edge cases, and failure recovery - to validate agentic solutions where non-deterministic output makes traditional QA insufficient
• Distill research, experiments, and competitive intelligence into clear insights that pave the path for a successful product
• Agent Design, Prototyping & Production
• Define agent behavior and prototype system prompts and tool schemas; partner with engineering on context management - summarization, working memory, and information flow across multi-step tasks
• Drive multi-model architecture tradeoffs with engineering - define the quality, cost, and latency targets that determine which model serves each step in the agent workflow
• Build AI prototypes to validate hypotheses; define human-in-the-loop boundaries and guardrails - when the agent acts autonomously, when it escalates, and how to handle non-deterministic output
• Establish agent evaluation frameworks - task completion, reasoning quality, tool selection, failure recovery, safety - and partner with engineering on production readiness (observability, drift, responsible AI, prompt versioning)
• Define success metrics at the agent level - task completion rate, cost per task (not per inference), escalation rate, time to resolution, and customer trust alongside business KPIs
• Delivery & Execution
• Own the end-to-end product lifecycle from discovery through phased rollouts; establish the metrics framework (north star, input, guardrail metrics) and report product impact to leadership
• Manage the product backlog, scope, dependencies, and risks; drive agile ceremonies and produce high-quality PRDs, product briefs, and decision logs
• Evaluate technology and platform decisions from a product perspective; create deployment playbooks, reference architectures, and knowledge transfer materials so teams sustain solutions independently
• Use AI to accelerate product work - research, analysis, prototyping, documentation - with judgment on when it needs human oversight; onboard rapidly to new domains and support team members across the initiative

Stakeholder Management

• Build trusted relationships with stakeholders and executives; serve as the go-to product advisor and primary contact for AI product direction and deployment strategy
• Partner with AWS Solution Architects and account teams to align on technical approach, service selection, and go-to-market for GenAI solutions
• Manage expectations on scope, timelines, and tradeoffs; facilitate decisions across competing priorities using data, alternatives, and clear rationale
• Frame AI capabilities and limitations for non-technical stakeholders - manage hype cycles, set realistic expectations; surface unmet needs that deepen relationships and grow the account

Required Skills

• 8-12+ years in product management, forward deployment, or solutions engineering; must have shipped AI products from prototype through production at scale
• Strong product sense - ability to identify what matters to users and the business, make prioritization calls with incomplete information, and shape products that deliver real outcomes
• Deep GenAI fluency - LLMs, RAG, fine-tuning, prompt engineering, context engineering, evals - with hands-on experience building or shipping agentic systems (planning, tool use, HITL, guardrails)
• Proven ability to prototype AI solutions using AI tools (Cursor, Claude, Copilot) to validate hypotheses and de-risk product decisions
• Experience deploying AI solutions in enterprise environments with strong technical fluency - can read code, evaluate architectures, make product tradeoffs on technical constraints, and drive scalable deployment patterns
• Exceptional communicator - clear PRDs, technical specs, and decision logs; has led AI products through full lifecycle and driven alignment with Directors, VPs, and C-level
• Comfortable operating in ambiguous, fast-moving environments where the AI landscape evolves weekly
• PM-level fluency across the AWS AI ecosystem - Bedrock, AgentCore, SageMaker, Strands, Kendra, OpenSearch, Lambda, Step Functions - to make informed product and architecture decisions

Preferred Qualifications

• Software engineering or coding background (Python, JavaScript, TypeScript)
• Agency or consulting delivery experience
• Experience in Financial Services, Healthcare, or Life Sciences industries
• Familiarity with open-source LLM ecosystem (Llama, Mistral) for flexibility and cost optimization
• Prior experience leading time-boxed discovery initiatives or technical spikes with rapid validation cycles

Why Join R&P?

You'll work at the intersection of cutting-edge AI and real enterprise impact - helping clients deploy Generative and Agentic AI solutions that change how their businesses operate. R&P gives you the variety of consulting (new problems, new industries, new tech) with the depth of a product role - you'll build, ship, and measure, not just advise. The team is collaborative, technically sharp, and genuinely invested in doing great work for clients.

About The Team 

Cerebras builds wafer-scale AI processors—single chips delivering tens of PB/s of memory bandwidth and a dataflow architecture that accelerates at a granularity no multi-device system can match. The Advanced Technology Group (ATG) is Cerebras’ pathfinding organization. We work ahead of product to explore new architectures, demonstrate breakthrough performance on scientific and AI workloads, and shape the technical roadmap for future Cerebras hardware and software. Our work regularly appears at top-tier venues (Supercomputing, SIAM, IEEE, and NeurIPS) and directly influences the design of next-generation wafer-scale systems. 

About The Role 

We are seeking R&D Engineers to join Cerebras' Advanced Technology Group. You will design and implement workloads that establish new performance benchmarks on wafer-scale hardware, leveraging architectural features that no traditional platform offers. The 
scope ranges from large-scale scientific simulations to emerging AI/ML models, and the work sits at the intersection of algorithm design, compiler co-optimization, and hardware architecture. You will collaborate closely with Cerebras’ ASIC, compiler, kernel, and AI teams as well as external partners at universities and national laboratories. 

What You Will Do 

• Design and implement challenging scientific computing and AI workloads on Cerebras’ Wafer-Scale Engine, targeting performance results that advance the state of the art. 
• Lead algorithm–hardware co-design efforts with internal R&D teams and external research partners, turning architectural capabilities into measurable application-level advantages. 
• Build analytical performance models that quantify bottlenecks, guide optimization, and inform future chip and compiler design decisions. 
• Contribute to Cerebras’ multi-year technology roadmap by identifying high-impact workloads, proposing architectural experiments, and validating them on silicon. 
• Publish findings and present at top-tier conferences and journals; represent Cerebras in the broader HPC and AI research communities. 

What We Are Looking For 

• PhD in Computer Science, Engineering, Applied Mathematics, Physics, or a related quantitative field preferred. Exceptional candidates without a graduate degree who demonstrate equivalent depth through published research, significant open-source contributions, or a strong industry track record are encouraged to apply. 
• Deep experience in at least one of the following: computer architecture and accelerator design; parallel, distributed, or high-performance computing; numerical methods and scientific simulation; AI/ML theory and model design at a mathematical level. 
• Strong ability to analytically model and optimize the performance of complex systems and algorithms. 
• Track record of published research or patents in relevant venues. 
• Proficiency in C and Python; comfort working close to hardware. 
• Excellent communication and interpersonal skills: able to present complex technical material to both specialist and cross-functional audiences, and to collaborate effectively in a fast-paced, small-team environment. 

Areas Of Particular Interest 

We are hiring across several focus areas. Exceptional depth in one or more of the following is a strong signal: 

• Computational science: researchers who can bring insights from numerical methods and simulation into AI, or couple simulation and learning into joint computational workflows. Depth in hydrodynamics, solid mechanics, electromagnetics, molecular dynamics, or related PDE-based fields. 
• AI/ML foundations: deep understanding of model architecture, optimization methods, and their statistical underpinnings—the ability to design from first principles, not just apply established recipes. 
• Computer architecture: microarchitecture design, computing paradigms at the circuit and datapath level, memory hierarchy design. 
• Performance engineering: roofline modeling, bandwidth analysis, kernel optimization, communication-computation overlap, and compiler-level tuning for novel hardware. 

Why This Opportunity Is Exciting And Unique 

• Build on a fundamentally different architecture, unconstrained by GPU assumptions. 
• Publish and open-source your research. We present at Supercomputing, SIAM, IEEE, NeurIPS, and beyond. 
• Work on the fastest AI system in the world, with direct access to the hardware your compiler targets. 
• Join at a pivotal moment: Cerebras is pre-IPO with strong commercial traction and rapid growth. 
• Be part of a small, technical team with high autonomy, minimal bureaucracy, and a culture that values depth over hierarchy. 

We are hiring for multiple positions across experience levels. If this work resonates, we encourage you to apply. 

P-1440

Databricks is on a mission to simplify and democratize data and AI — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI.  

We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including:

• Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself.
• AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack. 
• Unity Catalog Business Semantics - Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this past Data + AI Summit but we have a lot more in store. Engineers on this team work at the intersection of large scale distributed systems, data modeling, governance, and AI enablement.
• Databricks Apps - Databricks Apps is one of the fastest growing products at Databricks, used by more than 2,500 customers who have created more than 20,000 apps — and it was only GA’ed this past June. The Apps team is one of the few teams that are exposed to low-level platform components (k8s, networking), owns fundamental tech (apps runtime and proxy), and is heavily investing in app builder AI agents.

What we look for:

• BS (or higher) in Computer Science, related technical field or equivalent practical experience.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• 5+ years of production level experience in either Java, Scala or C++.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience developing large-scale distributed systems.
• Experience working on a SaaS platform or with Service-Oriented Architectures.
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
• Experience with security and systems that handle sensitive data.
• Good knowledge of SQL.

Databricks is on a mission to simplify and democratize data and AI — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a Fullstack software engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products.

Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI.  

We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including:

• Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself.
• AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack. 
• Unity Catalog Business Semantics - Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this past Data + AI Summit but we have a lot more in store. Engineers on this team work at the intersection of large scale distributed systems, data modeling, governance, and AI enablement.
• Databricks Apps - Databricks Apps is one of the fastest growing products at Databricks, used by more than 2,500 customers who have created more than 20,000 apps — and it was only GA’ed this past June. The Apps team is one of the few teams that are exposed to low-level platform components (k8s, networking), owns fundamental tech (apps runtime and proxy), and is heavily investing in app builder AI agents.

What we look for:

• 10+ years of experience with HTML, CSS, and JavaScript.
• Passion for user experience and design and a deep understanding of front-end architecture.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value.
• Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember).
• 10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go).
• Good knowledge of SQL.
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
• Experience developing large-scale distributed systems.

Databricks is on a mission to simplify and democratize data and AI — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI.  

We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including:

• Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself.
• AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack. 
• Unity Catalog Business Semantics - Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this past Data + AI Summit but we have a lot more in store. Engineers on this team work at the intersection of large scale distributed systems, data modeling, governance, and AI enablement.
• Databricks Apps - Databricks Apps is one of the fastest growing products at Databricks, used by more than 2,500 customers who have created more than 20,000 apps — and it was only GA’ed this past June. The Apps team is one of the few teams that are exposed to low-level platform components (k8s, networking), owns fundamental tech (apps runtime and proxy), and is heavily investing in app builder AI agents.

What we look for:

• BS (or higher) in Computer Science, related technical field or equivalent practical experience.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• 10+ years of production level experience in either Java, Scala or C++.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience developing large-scale distributed systems.
• Experience working on a SaaS platform or with Service-Oriented Architectures.
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
• Experience with security and systems that handle sensitive data.
• Good knowledge of SQL.

About StackAdapt

StackAdapt is a self-serve advertising platform specializing in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower digitally focused companies to deliver exceptional outcomes and campaign performance every day.

Founded with a vision to be more than an advertising platform, StackAdapt is a hub of technical innovation, creativity, and experimentation. Our R&D teams build scalable distributed systems, machine learning models, and high-performance infrastructure that power billions of ad transactions in real time.

The Role

We’re looking for a Talent Acquisition Partner, R&D to help scale the technical engine behind StackAdapt. In this role, you won’t just fill roles - you’ll shape teams that build and evolve the core infrastructure of our platform. You’ll partner closely with Engineering, Data Science, and Product leaders to understand architectural challenges, scaling plans, and long-term roadmap priorities. You’ll act as a strategic advisor on hiring strategy and talent market dynamics while delivering exceptional technical hires in one of the most competitive talent markets.

This is a high-impact role for a technically curious recruiter who thrives in complexity, builds trust with engineering leaders, and wants to influence how great technical teams are built.

What You’ll Be Doing

• Own full-cycle recruitment for critical technical roles across Engineering, Data Science, Infrastructure, and Product

• Lead deep intake conversations to understand system architecture, technical trade-offs, team topology, and leveling strategy

• Design and execute proactive sourcing strategies to attract high-performing technical talent across backend, distributed systems, machine learning, data engineering, and platform teams

• Evaluate candidates for technical rigor, problem-solving capability, and long-term impact

• Use pipeline data and conversion metrics to diagnose bottlenecks and continuously improve hiring velocity and signal quality

• Advise leaders on market realities, compensation positioning, and talent availability within highly competitive technical domains

• Elevate the technical interview experience by partnering on structured evaluations and bias-reducing practices

• Identify and implement process improvements that increase speed, quality, and candidate experience

What You’ll Bring to the Table

• 3+ years of full-cycle recruiting experience, with meaningful exposure to technical or R&D hiring

• Demonstrated experience recruiting for engineering, data science, infrastructure, or technical product roles

• Technical fluency — you can confidently discuss tech stacks, system design expectations, and engineering team structures

• A strong sourcing mindset with experience engaging passive technical talent

• Comfort operating in competitive technical markets and navigating complex offer negotiations

• Data-driven decision-making — you use metrics to refine strategy and improve outcomes

• Strong stakeholder management skills and the ability to influence technical leaders

• High ownership, strong prioritization skills, and the ability to manage multiple complex searches in a fast-paced growth environment

#LI-LN1

 Software Engineering Intern- AI/ML Backend

Company: Digs

Location: Hybrid (HQ: Vancouver, WA)

Job Type: Internship (Spring 2026)

Duration: 12 weeks 

About Digs

Digs is building the future of collaboration between builders and homeowners. Our platform uses artificial intelligence to organize, surface, and share the information that matters most during a home build—making the entire experience more transparent, connected, and intuitive.

We’re a team of experienced entrepreneurs, operators, and builders who care deeply about craft. We move fast, think long-term, and hold a high bar for what we build. If you’re curious, motivated, and excited about creating meaningful technology from the ground up, you’ll fit right in.

At Digs, you won't be working on throwaway sandbox projects. We expect you to hit the ground running and ship real production code from day one. You will act as a core member of our R&D team, working alongside our Head of R&D and the broader engineering team to build the services and infrastructure that turn ML model outputs into user-facing value — focusing on backend integration, evaluation, and production readiness rather than model research.

Want to know what drives us? Explore our Digs Principles.  

What You'll Do

• Build and maintain FastAPI services in Python that serve ML models and integrate into our broader microservices architecture.

• Build evaluation frameworks and benchmarks to systematically measure quality across our ML services.

• Work with geometric and spatial data using libraries like Shapely, NumPy, and OpenCV to process, validate, and post-process model outputs into production-ready formats.

• Improve and extend our vision and language pipelines for construction document understanding, including tasks such as instance segmentation, classification, and geometric shape analysis.

• Integrate ML outputs into production workflows orchestrated by our Restate durable execution engine.

• Adopt and help shape our agentic coding practices — our team embraces tools like Cursor, Copilot, and Claude Code to accelerate development.

You Might Also 

• Work with vector embeddings and semantic search infrastructure using pgvector.

• Contribute to our TypeScript backend and React frontend as features require end-to-end implementation.

• Run data analysis and experimentation to identify model failure modes and drive improvements with measurable results.

• Contribute to our human-in-the-loop annotation workflows, helping design pre-annotation pipelines and process crowdsourced labeling results.

Who You Are

• You recently completed a degree in Computer Science, Machine Learning, Data Science, or a related field (or have equivalent practical experience) and are looking for a runway to transition into a full-time role.

• You have a strong foundation in Python and are comfortable writing production-quality code, not just notebook prototypes.

• You have coursework or project experience in machine learning and understand the fundamentals of training, evaluation, and iteration.

• You are comfortable working with data — cleaning it, analyzing it, visualizing it, and drawing conclusions from it.

• You are a highly collaborative, self-motivated communicator who thrives in ambiguity, takes ownership of your work without waiting for instructions, and isn't afraid to say "I don't know yet" while moving fast.

• You are comfortable participating in virtual meetings and in-person collaboration at our Vancouver, WA HQ

Bonus Qualities You Might Have

• Experience building APIs with FastAPI, Flask, or similar Python web frameworks and deploying models behind them.

• Familiarity with HuggingFace Transformers and the model hub ecosystem.

• Experience training models from scratch or fine-tuning using supervised fine-tuning or parameter-efficient fine-tuning techniques.

• Contributions to open-source projects or published research.

• Startup experience: proven ability to move fast on a small engineering team.

• Experience or interest in the home building, home remodeling, construction, or real estate industries.

The Details:

This internship position is set to begin in April 2026 and will last 12 weeks, with a commitment of approximately 30 hours per week. The compensation ranges from $20 to $25 per hour, depending on experience. The internship will be hybrid, with in-person and remote components, conducted at our Vancouver, WA headquarters and via platforms such as Google Meet and Zoom. We will provide all necessary equipment, including a laptop, to ensure you have everything needed to succeed in this role. 

How to Apply:

If this role excites you and you feel aligned with our Principles, please submit your application via LinkedIn or the Digs Careers Page. 

Note: This internship position may lead to future employment opportunities, subject to performance and business needs.

Digs is committed to fostering an inclusive and diverse workplace where everyone feels valued and respected. We encourage candidates from all backgrounds to apply. 

Applicants must be authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.