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Staff Machine Learning Platform Engineer
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About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About this role
As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the technical bridge between data science and production engineering. You’ll be joining a small but deeply critical team that scales Faire’s ability to support tens of thousands of local businesses in a constantly narrowing retail landscape.
What You Will Do
- Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows
- Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows
- Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most critical models
- Implement Unity Catalog for data governance, lineage, access control, and secure multi-tenant usage
- Build CI/CD pipelines for ML using Terraform and Git-based workflows (e.g., GitHub Actions)
- Optimize performance, reliability, and cost across training and inference workloads
- Configure Identity and Access Management (IAM) and Role Based Authentication Controls (RBAC) for sensitive data sets
- Establish observability for data quality, model performance, and platform health
- Build and maintain ML Platform technical documentation
What it takes
- 8+ years of experience building production ML or data platforms
- A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
- Strong hands-on expertise with Databricks, Spark, Delta Lake, and MLflow.
- Proficiency in Python, SQL, and distributed systems concepts
- Experience with cloud platforms and infrastructure-as-code
- Solid understanding of MLOps best practices: CI/CD, monitoring, reproducibility, and security
- Experience supporting multiple ML teams in a shared platform environment
- Are an active owner of orphaned problems and are willing to assimilate whatever knowledge you’re missing to get the job done
Tech Stack
Faire uses a modern cloud based tech stack. For this role, you’ll want to be proficient with the following:
|
Category |
Technologies |
|
Languages |
Python, SQL, Kotlin |
|
ML Frameworks |
PyTorch, MLFlow |
|
Big Data & Processing |
Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL |
|
Cloud & Infrastructure |
AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform |
|
Generative AI |
Claude Sonnet 4.5, ChatGPT 5.2 |
Salary Range
Canada: the pay range for this role is $216,000 to $297,000 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.
This job posting is for an existing vacancy.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)
Ready to apply?
Apply to Faire
Who we are
Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.
Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.
About this team:
The Sales Planning and Strategy Team’s mandate is to partner cross-functionally to realize growing revenue targets, to scale the organization sustainably, and to address new go-to-market opportunities and challenges. We are responsible for developing Samsara’s multi-year strategy and detailed plan to achieve our revenue growth targets in close collaboration with Finance, Product, and Marketing. We also work with Sales Operations and Strategy to execute our plans in-year and drive strategic initiatives to support Samsara’s profitable growth.
About the role:
The Sales Planning and Strategy team is looking for an intellectually curious, motivated, and high-impact team member to join our team. This role will support building the multi-year plan to achieve our ambitious growth targets, drive analysis to deeply understand our Sales team performance, and manage strategic projects in partnership with our Sales leaders. We are a highly collaborative team and seek to have an outsized impact on Samsara through high-quality output, teaming across functions and hierarchies, and commitment to ongoing skill development.
This is a remote position open to candidates residing in the US.
You should apply if:
- You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
- You have an innate curiosity about how businesses work: One day you’ll meet with someone in waste management and the next you may be learning about the inner workings of a food distribution center. Our top sales team members seek to learn the ins and outs of the businesses they support to make a larger impact.
- You build genuine relationships with your customers: The industries we serve have relied on pen-and-paper solutions for years and haven’t been met with the type of technology we offer. Our customer's value earned trust and human relationships built over time.
- You want to be with the best: Samsara’s high-performance culture means you’ll be surrounded by the best and challenged to go farther than you have before.
- You are a team player: At Samsara, sales is a team sport. We help each other out by sharing best practices and focusing on winning as a team.
In this role, you will:
- Drive strategic planning initiatives to support Samsara’s long-term growth in partnership with Sales Leadership, Business Operations, Sales Operations, Finance, Marketing, and other cross-functional teams
- Develop insights and own analytical models that inform long-term and annual planning
- Guide Sales leaders through planning and strategic project outputs, incorporating their feedback, and guiding execution
- Prepare executive-level presentations, analyses, and talking points as part of planning and strategic project work
- Collaborate across Samsara, building trusted relationships across organizations and functions to create “connective tissue” between cross-functional teams
- Identify risks to growth goals and develop action plans to mitigate those risks
- Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally
Minimum requirements for the role:
- 5-8 years of experience in Consulting, Finance, Business Operations, Sales Strategy & Operations or other analytical role
- Highly organized with exceptional attention to detail and the ability to manage multiple projects with tight deadlines
- Strong analytical and logical reasoning skills; a deep sense of curiosity
- Collaborative orientation and experience in building trusting relationships and influencing others (incl. executive audiences)
- Self-starter who thrives and can multitask in fast-paced and often ambiguous environments; enthusiastic about improving efficiencies. Bias for action.
- Strong presentation skills, able to convey complex ideas in a clear, concise manner both verbally and in writing, comfortable in business and technical discussions.
- Ability to synthesize a broad set of information into a cohesive narrative
- Expertise with analytical tools (e.g., Tableau, Excel, Google Sheets)
An ideal candidate also has:
- Experience working with big data tools (e.g., DataBricks, BigQuery, SQL, etc.)
- Experience with GTM strategy
The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. Learn more about our total rewards and benefits below.
Total Rewards
At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.
Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.
Flexible Working
At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.
Belonging at Samsara
At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.
Accommodations
Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process.
Our Commitment to Authenticity
We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information.
Fraudulent Employment Offers
Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.
Ready to apply?
Apply to Samsara
Who we are
Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.
Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.
About this team:
The Sales Planning and Strategy Team’s mandate is to partner cross-functionally to realize growing revenue targets, to scale the organization sustainably, and to address new go-to-market opportunities and challenges. We are responsible for developing Samsara’s multi-year strategy and detailed plan to achieve our revenue growth targets in close collaboration with Finance, Product, and Marketing. We also work with Sales Operations and Strategy to execute our plans in-year and drive strategic initiatives to support Samsara’s profitable growth.
About the role:
The Sales Planning and Strategy team is looking for an intellectually curious, motivated, and high-impact team member to join our team. This role will support building the multi-year plan to achieve our ambitious growth targets, drive analysis to deeply understand our Sales team performance, and manage strategic projects in partnership with our Sales leaders. We are a highly collaborative team and seek to have an outsized impact on Samsara through high-quality output, teaming across functions and hierarchies, and commitment to ongoing skill development.
This is a remote position open to candidates residing in Canada.
You should apply if:
- You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
- You have an innate curiosity about how businesses work: One day you’ll meet with someone in waste management and the next you may be learning about the inner workings of a food distribution center. Our top sales team members seek to learn the ins and outs of the businesses they support to make a larger impact.
- You build genuine relationships with your customers: The industries we serve have relied on pen-and-paper solutions for years and haven’t been met with the type of technology we offer. Our customer's value earned trust and human relationships built over time.
- You want to be with the best: Samsara’s high-performance culture means you’ll be surrounded by the best and challenged to go farther than you have before.
- You are a team player: At Samsara, sales is a team sport. We help each other out by sharing best practices and focusing on winning as a team.
In this role, you will:
- Drive strategic planning initiatives to support Samsara’s long-term growth in partnership with Sales Leadership, Business Operations, Sales Operations, Finance, Marketing, and other cross-functional teams
- Develop insights and own analytical models that inform long-term and annual planning
- Guide Sales leaders through planning and strategic project outputs, incorporating their feedback, and guiding execution
- Prepare executive-level presentations, analyses, and talking points as part of planning and strategic project work
- Collaborate across Samsara, building trusted relationships across organizations and functions to create “connective tissue” between cross-functional teams
- Identify risks to growth goals and develop action plans to mitigate those risks
- Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally
Minimum requirements for the role:
- 5-8 years of experience in Consulting, Finance, Business Operations, Sales Strategy & Operations or other analytical role
- Highly organized with exceptional attention to detail and the ability to manage multiple projects with tight deadlines
- Strong analytical and logical reasoning skills; a deep sense of curiosity
- Collaborative orientation and experience in building trusting relationships and influencing others (incl. executive audiences)
- Self-starter who thrives and can multitask in fast-paced and often ambiguous environments; enthusiastic about improving efficiencies. Bias for action.
- Strong presentation skills, able to convey complex ideas in a clear, concise manner both verbally and in writing, comfortable in business and technical discussions.
- Ability to synthesize a broad set of information into a cohesive narrative
- Expertise with analytical tools (e.g., Tableau, Excel, Google Sheets)
An ideal candidate also has:
- Experience working with big data tools (e.g., DataBricks, BigQuery, SQL, etc.)
- Experience with GTM strategy
The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. Learn more about our total rewards and benefits below.
Total Rewards
At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.
Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.
Flexible Working
At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.
Belonging at Samsara
At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.
Accommodations
Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process.
Our Commitment to Authenticity
We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information.
Fraudulent Employment Offers
Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.
Ready to apply?
Apply to Samsara
Who We Are
Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard working people who are lifelong learners.
About The Role
As a Senior Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions.
What You’ll Do
- Design, build, and manage robust data pipelines and data architectures.
- Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake.
- Optimize data workflows, ensuring reliability, scalability, and performance.
- Collaborate with internal stakeholders to understand data needs and deliver tailored solutions.
- Ensure data security and compliance with industry standards and best practices.
- Perform data modelling, data extraction, transformation, and loading (ETL/ELT).
- Identify and recommend innovative solutions to enhance data quality and analytics capabilities.
Qualifications
- Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
- 4+ years of professional experience as a Data Engineer or similar role.
- Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake.
- Hands-on experience with data pipeline tools, cloud services, and storage solutions.
- Strong programming skills in SQL, Python, or related languages.
- Experience with big data technologies and concepts (Spark, Hadoop, Kafka).
- Excellent analytical, troubleshooting, and problem-solving skills.
- Ability to effectively communicate technical concepts clearly to non-technical stakeholders.
Nice to have
- Certifications related to Azure Data Engineering, Databricks, or Snowflake.
- Familiarity with DevOps practices and CI/CD pipelines.
Perks and Benefits
- Comprehensive Health & Wellness Benefits Package
- Retirement Planning
- Parental Leave Program
- Annual tech & travel allowance
- Flexible Working Hours
- Work from Home Flexibility
- Service Recognition Programs
- Socials, Outings & Retreats
- Culture of Learning & Development
Bonus Points
Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses - make sure to highlight this experience in your cover letter if you have!
Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.
The estimated compensation for this position is $120,000 to $145,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.
While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.
#LI-Hybrid
Ready to apply?
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Senior Marketing Analyst
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S'more about the team
We are seeking a highly analytical and data-driven Senior Marketing Analyst to be a cornerstone of our acquisition strategy across HelloFresh, Chefs Plate, and Factor. In our data-centric culture, your role will be vital in unearthing key insights to drive marketing success. You will collaborate closely with the Marketing Growth team to enhance analytical capabilities and champion a data-first approach to all marketing efforts. Success in this role requires working with various data teams across the organization to deliver high-impact, actionable insights that boost overall business performance.
Lettuce share what this role will be responsible for
- Performance Analysis & Optimization: Conduct proactive analysis of performance and brand marketing data to pinpoint areas for improvement across key KPIs (acquisition, CAC, brand awareness, LTV, etc.). Partner with channel managers to translate these insights into concrete initiatives and action plans.
- Strategic Insight Generation: Lead the translation of analytical findings into tangible marketing projects and actions adopted by the broader team.
- Cross-Functional Collaboration & Mentorship: Act as a key liaison for the analytics department, supporting the broader Canadian marketing team by clarifying new metrics and building foundational analytical skills. Foster cross-team collaboration, share best practices, and drive joint insight generation with other analytics departments.
- Customer Journey Analysis: Analyze customer data to identify pain points and opportunities, informing customer segmentation and personalization strategies.
- Market Awareness: Stay current with relevant industry and market trends that could influence business performance.
- Strategic Planning Support: Play an active role in the marketing annual strategic planning process, from initial analysis through compelling data-driven storytelling.
- All other duties, as assigned.
Sound a-peeling? Here's what we're looking for
Experience & Education:
- 5+ years of experience in relevant fields such as Marketing Management Consulting, Growth Marketing Management, DTC Consumer Marketing, and/or Digital Marketing.
- Bachelor’s degree required in Marketing, Mathematics, Statistics, or a closely related field.
Technical & Analytical Skills:
- Data Proficiency: Highly skilled in managing and analyzing large datasets, including identifying trends, drawing robust conclusions, and expertly cleaning, transforming, and structuring raw data.
- Technical Tools: Proficiency in querying data and utilizing analysis tools such as Databricks, Tableau, and Google Analytics.
- Analytical Aptitude: A creative thinker with a strong, data-driven analytical mindset for optimizing daily performance and effectively managing business operations.
Core Competencies:
- Strategic & Critical Thinking: Demonstrated ability to critically evaluate company goals, devise effective strategies to achieve them, and clearly articulate the rationale for recommended actions.
- Communication & Presentation: Exceptional communication, interpersonal, and presentation skills to convey complex information with clarity and conciseness.
- Decision-Making & Problem-Solving: Proven capabilities in strategic decision-making and resolving complex problems.
- Organizational Skills: Outstanding organizational skills and efficient time management abilities.
Let’s cut to the cheese, this is why you'll love it here
- Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
- Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
- RRSP Matching - Competitive RRSP matching program offered
- Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance.
- Family Benefits - A parental leave top-up program for expectant parents.
- Growth & Development - We support your career progression, provide development opportunities, and invest in your continued learning through our organization wide L&D fund.
- Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
- Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
- Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!
Flexible Hybrid Approach
At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience.
To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.
#LI-HYBRID
Working Conditions
It’s no surprise that as a food company, we use many ingredients that may be considered common allergens (i.e. peanuts, tree nuts, milk, etc.). Whether this role is based out of our headquarters or one of our distribution centers, it is possible that you may be exposed to such allergens in this role. If you have any concerns with being exposed to any particular food ingredients, including meat, please disclose this during the hiring process.
HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.
This is a posting for an existing vacancy. We are actively seeking to fill this position.
Interested in joining the HelloFresh team? Don’t be chai, apply! Submit your application in PDF format today.
Ready to apply?
Apply to HelloFresh
Senior Data Engineer
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About Gusto
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.
All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.
AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.
The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers.
We're looking for a Senior Data Engineer who can take loosely defined problems and drive them end-to-end—from framing the problem and aligning stakeholders to designing, building, and delivering durable data solutions. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.
Preferred Qualifications
- 8-10+ years of industry experience in data engineering building scalable data pipelines and data products
- Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
- Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations.
- Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams.
- Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.
- Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems
- Familiarity with monitoring, alerting, and incident response for production-grade data pipelines
- Proven ability to optimize performance and cost across data workflows and storage systems
- Functional understanding of how to leverage AI and automation in data engineering — building self-service tools, intelligent pipelines, and agents that automate repetitive tasks
- Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.
- Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership
Compensation Details
Our cash compensation amount for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.
Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.
When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.
Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.
Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.
Ready to apply?
Apply to Gusto, Inc.
AI Operations Engineer
Team: Technical Operations - AI Operations
About the Role
At Opendoor, AI isn't a side project - it's how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. The AI Operations team sits at the intersection of data, AI engineering, and operational systems.
You will help define the future of how we work across our Operations by building AI powered workflows, automation, and experiences that drive leverage across Operations. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.
You'll design systems and influence tooling decisions that affect how our operations scale – so we need people who think critically about what they build, why, the impact it will have on our operations and how to measure success.
We're looking for AI-native builders to join our team, blending Operational expertise and systems thinking to drive leverage across our teams. If you default to AI in how you approach work, you’ll fit right in.
Why Join Us
- Opportunity to shape AI Operations from the ground up
- Work on cutting-edge systems directly impacting our Customers and Operations
- Collaborate with talented engineers, data scientists, product teams, and operational teams
What You'll Do
- Turn ambiguous business problems into clear system designs, experiments, and implementation plans
- Identify and implement opportunities to improve our operational reliability, efficiency, and cost
- Prototype and ship rapid experiments that test improvements to workflows
- Evaluate build-vs-integrate decisions for AI tools and automation, with a bias toward scalable, maintainable solutions over one-off demos
- Build and maintain AI-powered automation, internal tools to improve how we work
- Assess and pressure-test system architectures — your own and others' — for scaling limitations, failure modes, and operational sustainability
- Maintain clean, trustworthy data through thoughtful schemas, audits, and dashboards that improve visibility and decision making
- Implement monitoring and alerting for model performance, latency, and drift detection
- Troubleshoot production issues and conduct root cause analysis
- Partner with data scientists and R&D to operationalize models
- Develop runbooks, documentation, and best practices for AI Operations
What We're Looking For
AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL, working with APIs, and stitching tools together to ship solutions fast.
Systems Thinking: You understand how data flows, business and systems objectives, how decisions get made, and how changes in one part of an operation ripple across others. You evaluate global vs. local trade-offs and can explain why a solution that works today might break at scale - before someone has to ask.
System Design: You take complex, messy problems and reduce them to simple, durable architecture. You know when to build custom vs. integrate existing tools, and you proactively identify scaling limitations before they become technical debt.
Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.
Impact Driven: You optimize for impact over novelty, choosing the right tools for the job rather than chasing trends with a long range horizon, observability to ensure performance, scalability and resiliency
Additionally:
- Familiarity with LLM deployment, context engineering and comfortable writing SQL
- Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring
- 5+ years of experience in operations and data experience
Tools and Technologies
You'll work across a range of tools and we expect this list to evolve. Current stack includes:
- AI coding assistants: Claude Code, Cursor, or similar
- Rapid prototyping tools: Lovable, Replit, Figma
- Workflow automation: Gumloop, Zapier, or similar platforms
- Experience with MCP integrations is a plus
- Experience with data platforms (Snowflake, Databricks) is a plus
- Background in agentic AI frameworks or building automation flows is a plus
Bonus Domain Expertise
You don't need deep expertise in all of these, but experience in one or more is a strong signal
- Pricing and valuation
- Sales,support, partnerships
- Home operations
- Homes support
Ready to apply?
Apply to Opendoor
About the Role
At Opendoor, AI isn't a side project - it's how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. The AI Operations team sits at the intersection of data, AI engineering, and operational systems.
You will help define the future of how we work across our Operations by building AI powered workflows, automation, and experiences that drive leverage across Operations. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.
You'll design systems and influence tooling decisions that affect how our operations scale – so we need people who think critically about what they build, why, the impact it will have on our operations and how to measure success.
We're looking for AI-native builders to join our team, blending Operational expertise and systems thinking to drive leverage across our teams. If you default to AI in how you approach work, you’ll fit right in.
Why Join Us
- Opportunity to shape AI Operations from the ground up
- Work on cutting-edge systems directly impacting our Customers and Operations
- Collaborate with talented engineers, data scientists, product teams, and operational teams
What You'll Do
- Turn ambiguous business problems into clear system designs, experiments, and implementation plans
- Identify and implement opportunities to improve our operational reliability, efficiency, and cost
- Prototype and ship rapid experiments that test improvements to workflows
- Evaluate build-vs-integrate decisions for AI tools and automation, with a bias toward scalable, maintainable solutions over one-off demos
- Build and maintain AI-powered automation, internal tools to improve how we work
- Assess and pressure-test system architectures — your own and others' — for scaling limitations, failure modes, and operational sustainability
- Maintain clean, trustworthy data through thoughtful schemas, audits, and dashboards that improve visibility and decision making
- Implement monitoring and alerting for model performance, latency, and drift detection
- Troubleshoot production issues and conduct root cause analysis
- Partner with data scientists and R&D to operationalize models
- Develop runbooks, documentation, and best practices for AI Operations
What We're Looking For
AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL, working with APIs, and stitching tools together to ship solutions fast.
Systems Thinking: You understand how data flows, business and systems objectives, how decisions get made, and how changes in one part of an operation ripple across others. You evaluate global vs. local trade-offs and can explain why a solution that works today might break at scale - before someone has to ask.
System Design: You take complex, messy problems and reduce them to simple, durable architecture. You know when to build custom vs. integrate existing tools, and you proactively identify scaling limitations before they become technical debt.
Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.
Impact Driven: You optimize for impact over novelty, choosing the right tools for the job rather than chasing trends with a long range horizon, observability to ensure performance, scalability and resiliency
Additionally:
- Familiarity with LLM deployment, context engineering and comfortable writing SQL
- Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring
- 5+ years of experience in operations and data experience
Tools and Technologies
You'll work across a range of tools and we expect this list to evolve. Current stack includes:
- AI coding assistants: Claude Code, Cursor, or similar
- Rapid prototyping tools: Lovable, Replit, Figma
- Workflow automation: Gumloop, Zapier, or similar platforms
- Experience with MCP integrations is a plus
- Experience with data platforms (Snowflake, Databricks) is a plus
- Background in agentic AI frameworks or building automation flows is a plus
Bonus Domain Expertise
You don't need deep expertise in all of these, but experience in one or more is a strong signal
- Pricing and valuation
- Sales,support, partnerships
- Home operations
- Homes support
Ready to apply?
Apply to Opendoor
Data/AI Engineer
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Overview:
Guidepoint seeks an experienced Data/AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products.
This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The Senior AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products.
Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services.
This is a hybrid position based in Toronto.
What You'll Do
- Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems.
- Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization in production environments like Databricks and Azure Kubernetes Service (AKS).
- Optimize RAG Pipelines: Continuously improve retrieval and generation quality through techniques like retrieval optimization (tuning k-values, chunk sizes), using re-rankers, advanced chunking strategies, and prompt engineering for hallucination reduction.
- Integrate Intelligent Systems: Engineer solutions that seamlessly combine LLMs with our proprietary knowledge repositories, external APIs, and real-time data streams to create powerful copilots and research assistants.
- Champion LLMOps and Engineering Best Practices: Collaborate with data science and engineering teams to establish and implement best practices for LLMOps, including automated evaluation using frameworks like LLM Judges or MLflow, AI observability, and system monitoring.
- Evaluate and Implement AI Strategies: Systematically evaluate and apply advanced prompt engineering methods (e.g., Chain-of-Thought, ReAct) and other model interaction techniques to optimize the performance and safety of proprietary and open-source LLMs.
- Mentor and Lead: Provide technical leadership to junior engineers through rigorous code reviews, mentorship, and design discussions, helping to elevate the team's engineering standards.
- Influence the Roadmap: Partner closely with product and business stakeholders to translate user needs into technical requirements, define priorities, and shape the future of our AI product offerings.
What You'll Bring
- Experience: A Bachelor’s degree in Computer Science, Engineering, or a related technical field with 6+ years of professional experience; or a Master’s degree with 4+ years of professional experience in backend software engineering and Generative AI. This must include a proven track record of designing, building, and scaling distributed, production-grade systems.
- Strong Software Engineering Fundamentals: Deep expertise in Python, a major backend framework (e.g., FastAPI, Flask), and asynchronous programming (e.g., asyncio). Proficiency in designing RESTful APIs, microservices, and the complete operational lifecycle, including comprehensive testing, CI/CD (e.g., ArgoCD), observability, monitoring, alerting, maintaining high uptime, and executing zero-downtime deployments.
- Cloud & Infrastructure Proficiency: Hands-on experience deploying and managing applications on a major cloud platform (Azure preferred, AWS/GCP acceptable) using containerization (Docker) and orchestration (Kubernetes, Helm).
- Production AI Application Experience: 2+ years of experience building applications that leverage large language models from providers like OpenAI, Anthropic, or Google Gemini. Direct experience with modern LLM patterns such as retrieval-augmented generation (RAG), hybrid search using vector databases (e.g., Pinecone, Elasticsearch), multi-agent AI systems with tool calls, and prompt engineering is required.
- AI System Design and Evaluation: Experience designing and implementing robust evaluation frameworks for LLM-based systems, including rubric-based scoring, LLM Judges, or using tools like MLflow, alongside monitoring for performance and drift.
- Large-Scale Data Processing: Familiarity with large-scale data processing platforms and tools (e.g., Databricks, Apache Spark).
- Familiarity with the Modern AI Stack: Practical experience with libraries and frameworks like LangChain or LlamaIndex for building LLM-powered applications.
- Leadership and Mentorship: Demonstrated ability to lead complex technical projects and foster the growth of other engineers.
What We Offer:
The annual base salary range for this position is $135,000 - $210,000. Additionally, this position is eligible for an annual discretionary bonus based on performance.
You will also be eligible for the following benefits:
- Paid Time Off
- Comprehensive benefits plan
- Company RRSP Match
- Development opportunities through the LinkedIn Learning platform
About Guidepoint:
Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action.
Backed by a network of nearly 1.75 million experts, and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful.
At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience.
#LI-SP1
#LI-Hybrid
This job post is for a live vacancy. Base salary may vary depending on job-related knowledge, skills, and experience, as well as geographic location.
Ready to apply?
Apply to GuidepointAbout Forma.ai:
Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk.
Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy.
We’re welcoming equally driven individuals who are excited about creating something big!
About the team:
The Core Services team is responsible for the foundational systems that power how Forma’s platform operates at scale. This includes service-to-service communication, permissions and access control, release infrastructure, and observability.
As our platform scales toward a more distributed, multi-service architecture, this team plays a critical role in ensuring systems remain reliable, secure, and easy to operate. The work here sits at the intersection of backend engineering and infrastructure, with a strong emphasis on building robust, scalable software systems.
We are low on meetings and high on accountability, with most of the team in the EST time zone.
What you'll be doing:
Reporting to the VP of Engineering, you will help lead the design and development of foundational platform capabilities that support all backend services.
You will work on high-impact, cross-cutting problems that shape how engineers build, ship, secure, and operate services at Forma. You’ll spend significant time designing APIs, data models, application workflows, shared libraries, and backend services that other teams rely on.
Key areas of ownership include:
- Designing and implementing systems for roles, permissions, and access control across services
- Defining how services access shared permission models and identity data
- Defining how user permissions carry across product surfaces, not just machine-to-machine service authorization
- Building shared backend capabilities that support workflows such as approvals, ticketing, and cross-service coordination
- Building MCP connectors to Forma services, enabling AI tools and agents to securely access product data, workflows, and backend capabilities
- Improving and standardizing CI/CD pipelines across teams
- Establishing robust observability practices, including distributed tracing and monitoring across services
- Helping guide the transition toward a more service-oriented architecture
You will be working on some of the most critical and complex engineering challenges at Forma, with significant influence over system design and engineering practices.
What skills / traits are we looking for:
- Strong experience designing and building distributed backend systems
- Strong application engineering skills, including API design, data modeling, service boundaries, and production-quality backend code
- Experience with AI-enabled developer tooling, MCP, or internal engineering automation
- Experience working with service-oriented or microservices architectures
- Deep understanding of authentication, authorization, and access control patterns
- Previously owned or improved CI/CD systems, release processes, and production workflows
- Track record of raising reliability and observability across service boundaries (tracing, correlation, SLOs, or post-incident improvements that team adopted).
- Excellent written and verbal communication skills
- Ability to influence technical direction and collaborate across teams
- High ownership mindset with attention to detail
Nice to have:
- Experience with distributed tracing and observability tooling
- Exposure to infrastructure and platform engineering concepts
- Experience working in high-growth or scaling engineering teams
Technologies we use:
- Backend: Java, Django, Postgres
- Infrastructure: AWS, Docker, GitHub Actions, Databricks, Datadog, Grafana, Kubernetes, Helm, Argo
What success looks like:
First 30 Days
- Develop a deep understanding of Forma’s backend architecture, service boundaries, core infrastructure, CI/CD pipelines and release workflows
- Get hands-on with the codebase by contributing production code to core services or shared libraries
- Identify gaps in current implementations around service communication, auth, or observability
- Produce at least one concrete technical proposal (design doc) targeting a high-impact core services improvement
60 Days
- Own and deliver a meaningful backend/platform improvement within Core Services, such as a permissions access layer, approval workflow component, service auth pattern, or shared application library
- Write and ship well-designed, production-quality code that improves product capabilities, system reliability, or developer workflows
- Contribute to technical design discussions with clear tradeoffs and implementation plans
- Begin shaping standards for how services interact across auth, permissions, data access, workflow ownership, and API boundaries
90 Days
- Lead the design and implementation of a complex, cross-service engineering solution, such as a permissions framework, approval workflow subsystem, or inter-service authorization model
- Drive adoption of new patterns through high-quality code, documentation, and collaboration
- Establish engineering best practices for building and operating services in a distributed environment
- Act as a technical leader by raising the bar for code quality, system design, maintainability, and production ownership
Additional Job Info:
- This position is for an existing vacancy
What you can expect from us
Meaningful compensation. In addition to your base salary, you’ll join our employee stock ownership plan to further recognize your contributions to Forma.ai’s success.
Healthcare coverage. We have a full benefits package that includes medical, dental, vision, disability and life insurance, and a paid parental leave program.
Learning and development. Access the resources you want to help you grow in your role by utilizing our $750 yearly training stipend.
Growth. You’ll have a huge opportunity to build a career for yourself and gain the type of experience you’re looking for, whether that’s as an individual contributor or as a people leader.
Our Values:
- Work well, together. We’re real. We have kids and pets. Mortgages and student loans. We’re in this together, so no matter how brilliant any one of us is, we always play nice with one another – no exceptions.
- Be precise. Be relentless. We believe complacency breeds failure, so we set new goals as quickly as we achieve them. We persist in the face of adversity, learn from our mistakes, and push each other to continuously improve. The status-quo is kryptonite.
- Love our tech. Love our customers. Our platform solves a very complex problem in a currently underserved market. While everyone at Forma isn’t customer-facing, we’re all customer-focused. Maybe even slightly customer-obsessed.
Use of AI for Recruitment
Currently, Forma.ai does not use artificial intelligence as part of our recruitment process, specifically but not limited to the screening, filtering and shortlisting of applicants.
Our commitment to you:
Forma is a proud equal opportunity employer that is committed to creating a diverse and inclusive work environment. Every effort to accommodate candidates for accessibility will be made upon request. Information received related to accommodations will be addressed confidentially. We know that applying to a new role takes a lot of effort. You're encouraged to apply even if your experience doesn't precisely match the job description. There are many paths to a successful career and we’re looking forward to reading yours.
We thank all candidates for their interest however only qualified applicants will be shortlisted.
Ready to apply?
Apply to Forma.ai
About Forma.ai:
Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk.
Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy.
We’re welcoming equally driven individuals who are excited about creating something big!
The Role
As a Senior Solutions Engineer, you will play a critical role at the intersection of data, technology, and customer impact. You will lead the design and delivery of scalable, reliable, and high-impact technical implementations for our enterprise clients.
Working with diverse and complex datasets across industries, you’ll build and optimize end-to-end analytics solutions that directly influence how customers engage with the Forma platform. You’ll partner cross-functionally to identify opportunities, scope high-value solutions, and deliver outcomes that drive measurable business impact.
This is a highly visible, client-facing role that combines hands-on technical expertise with strategic thinking.
What You’ll Do
- Lead strategic technical engagements with enterprise clients, guiding solution design for complex business challenges using the Forma platform
- Design, build, and optimize scalable data architectures, pipelines, and workflows (e.g., PySpark, Databricks)
- Translate business requirements into robust, production-ready data solutions
- Design and deliver custom code and customer-specific integrations to extend the Forma platform for unique client requirements
- Partner with Professional Services to extract, transform, and analyze client data to optimize incentive compensation and sales performance strategies
- Collaborate with Product, Engineering, and Customer Success to deliver high-quality, actionable datasets and insights
- Drive improvements in data infrastructure, performance, scalability, and reliability
- Identify opportunities to standardize and productize repeatable solutions
- Mentor and support junior team members; contribute to internal best practices and knowledge sharing
- Act as a trusted technical advisor to both internal and external stakeholders
What We’re Looking For:
Required
- 5+ years of experience in a technical role such as Solutions Engineer, Analytics Engineer, Data Engineer, or Sales Engineer
- Strong proficiency in Python and SQL, with experience writing efficient, production-grade code
- Experience with modern data lakehouse architectures (e.g., Databricks, Snowflake) and a solid understanding of performance and cost optimization
- Experience building and maintaining scalable data pipelines and workflows
- Strong customer empathy and a passion for delivering user-facing data products
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
- Proven ability to operate in a fast-paced, cross-functional environment and manage competing priorities
- Strong problem-solving skills with a solution-oriented mindset
- Demonstrated curiosity and commitment to continuous learning
Nice to Have
- Experience with machine learning, predictive analytics, or optimization models
- Familiarity with BI tools (e.g., Tableau, Looker, Power BI)
- Experience with cloud platforms (AWS, Azure, or GCP)
- Experience integrating with Salesforce or working with financial / sales data
- Prior experience in ICM (Incentive Compensation Management), SPM (Sales Performance Management), or sales operations
What Success Looks Like:
After 30 Days:
- Develop a strong understanding of Forma’s platform, including client-facing features, data flows, and core use cases
- Build working knowledge of our data architecture, repositories, and tooling (e.g., Databricks, S3, GitHub)
- Establish relationships with immediate team members and key cross-functional partners (Product, Engineering, Customer Success)
- Begin contributing to scoped technical tasks and internal data workflows with guidance
- Begin building context on customer implementations, common challenges, and solution patterns
After 60 Days:
- Participate in client engagements and internal solution discussions, building familiarity with customer needs and communication patterns
- Independently execute well-defined technical tasks with high quality and reliability
- Collaborate with cross-functional stakeholders to understand requirements and translate them into technical solutions
- Begin contributing to medium-complexity data pipelines, transformations, or analyses with guidance
- Begin identifying opportunities to improve existing implementations or workflows
After 90 Days:
- Actively contribute to client-facing conversations, providing technical input and solution recommendations
- Independently scope, design, and implement data solutions for customer use cases
- Own delivery of medium-complexity solutions end-to-end with minimal guidance
- Demonstrate strong problem-solving and sound technical judgment in ambiguous situations
- Proactively identify and drive improvements in data workflows, performance, and scalability
- Begin establishing credibility as a trusted technical partner to internal teams and customers
Long Term:
- You consistently deliver high-quality, scalable solutions that drive measurable customer outcomes
- You become a trusted advisor to clients and internal stakeholders
- You identify opportunities to improve processes and influence product direction
- You elevate the team through mentorship and technical leadership
Additional Job Info:
- This position is for an existing vacancy
- Salary range: $110K - $150K CAD
What you can expect from us
Meaningful compensation. In addition to your base salary, you’ll join our employee stock ownership plan to further recognize your contributions to Forma.ai’s success.
Healthcare coverage. We have a full benefits package that includes medical, dental, vision, disability and life insurance, and a paid parental leave program.
Learning and development. Access the resources you want to help you grow in your role by utilizing our $750 yearly training stipend.
Growth. You’ll have a huge opportunity to build a career for yourself and gain the type of experience you’re looking for, whether that’s as an individual contributor or as a people leader.
Our Values:
- Work well, together. We’re real. We have kids and pets. Mortgages and student loans. We’re in this together, so no matter how brilliant any one of us is, we always play nice with one another – no exceptions.
- Be precise. Be relentless. We believe complacency breeds failure, so we set new goals as quickly as we achieve them. We persist in the face of adversity, learn from our mistakes, and push each other to continuously improve. The status-quo is kryptonite.
- Love our tech. Love our customers. Our platform solves a very complex problem in a currently underserved market. While everyone at Forma isn’t customer-facing, we’re all customer-focused. Maybe even slightly customer-obsessed.
Use of AI for Recruitment
Currently, Forma.ai does not use artificial intelligence as part of our recruitment process, specifically but not limited to the screening, filtering and shortlisting of applicants.
Our commitment to you:
Forma is a proud equal opportunity employer that is committed to creating a diverse and inclusive work environment. Every effort to accommodate candidates for accessibility will be made upon request. Information received related to accommodations will be addressed confidentially. We know that applying to a new role takes a lot of effort. You're encouraged to apply even if your experience doesn't precisely match the job description. There are many paths to a successful career and we’re looking forward to reading yours.
We thank all candidates for their interest however only qualified applicants will be shortlisted.
Ready to apply?
Apply to Forma.ai
Director, ML Engineering & Infrastructure
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About the Role:
The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding, and ads optimization that shape the future of streaming.
We are seeking a Director of Machine Learning Engineering and Infrastructure to lead a hybrid team bridging advanced ML engineering with world-class infrastructure design. In this role, you will own the strategic direction and execution for scaling our machine learning capabilities while ensuring our distributed systems and infrastructure can support innovation at massive scale. You will combine technical depth with leadership excellence to guide teams that deliver both foundational ML systems and high-performance distributed services.
What You'll Do:
- Lead and manage high-performing teams across ML engineering and ML infrastructure, fostering a culture of innovation, collaboration, and growth.
- Define and execute the strategic roadmap for ML systems, including recommendation, personalization, and ads optimization.
- Oversee the design, development, and deployment of scalable ML pipelines: data ingestion, feature engineering, model training, evaluation, and serving.
- Architect distributed systems to support ML workloads at scale, ensuring reliability, observability, and operational excellence.
- Partner closely with Product, Engineering, and Content teams to align on business goals and deliver impactful ML-driven experiences.
- Support best practices in experimentation, evaluation, and ML system monitoring.
- Ensure cost efficiency, scalability, and performance in ML infrastructure investments.
Your Background:
- 10+ years of industry experience spanning machine learning engineering and distributed systems.
- 3+ years of leadership and management experience, with a proven ability to build and lead strong technical teams.
- MSc or Ph.D. in Computer Science, Machine Learning, or related field, or equivalent practical experience.
- Proven expertise in building and deploying end-to-end ML systems at scale, including recommendation and personalization systems.
- Strong background in distributed systems architecture, including low-latency services, streaming platforms, and large-scale serving.
- Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and ML infrastructure technologies.
- Track record of delivering high-quality, scalable, and fault-tolerant systems.
- Excellent communication skills and ability to influence product and technical strategy.
- Proven experience deploying large-scale serving systems on AWS and demonstrated expertise in leveraging Databricks for large-scale data processing and ML workflows
Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is listed annually below. This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, a 401(k) plan, paid time off and other benefits in accordance with applicable plan documents.
Tubi is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of all US employee benefits. The following distinctions below outline the differences between the Tubi and FOX benefits:
- For US-based non-exempt Tubi employees, the FOX Employee Benefits summary accurately captures the Vacation and Sick Time.
- For all salaried/exempt employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time off Policy to manage all personal matters.
- For all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX’s short-term disability policy. This time is 100% paid through a combination of any applicable state, city, and federal leaves and wage-replacement programs in addition to contributions made by Tubi.
- For all full-time, regular employees, Tubi offers a monthly wellness reimbursement.
About Tubi:
Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.
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Who We Are
Konrad is a next-generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard-working people who are lifelong learners.
About The Role
This role sits on our consulting team, where your internal title will be Consultant, working primarily in a data analytics capacity across client engagements.
As a Consultant focused on Data Analytics, you are an early-to-mid career data professional with a strong foundation in analysis and a desire to grow both your technical and consulting skill set. Leveraging your analytics background, you will support the delivery of digital products for our clients through analytics and reporting solutions that help organizations better understand their data and make informed decisions.
In addition to your analytics work, you will gain exposure to broader areas of digital consulting, including digital product development, digital transformation, and user experience (UX/CX). You are interested in understanding how data supports product decisions, customer experiences, and overall business strategy.
You will work closely with senior analysts, data scientists, engineers, product managers, designers, and business stakeholders across a variety of client engagements. With guidance and mentorship, you will contribute to analytics initiatives including dashboarding, exploratory analysis, KPI tracking, and data quality validation, while also building broader consulting skills across areas such as project management, user experience, and design thinking.
You are curious, detail-oriented, and motivated to continuously improve your analytical and consulting capabilities.
What You’ll Do
- Support client and internal teams in understanding business questions and translating them into analytical requirements
- Analyze data to identify trends, patterns, and insights under the guidance of senior team members
Build and maintain dashboards and recurring reports to track key metrics and performance indicators - Assist in documenting metrics, definitions, and analytics processes
- Collaborate with data engineers and other analysts to support data modeling and reporting layers
Communicate insights clearly through visualizations, summaries, and presentations - Proactively identify opportunities to improve reporting, data quality, and analytical workflows
Qualifications
- Minimum 2+ years of experience in a data analyst, business intelligence, or analytics-focused role
- Programming experience in Python, Bash scripting, R or related language
- Working proficiency in SQL and experience querying cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery)
- Experience with Business Intelligence and data visualization tools (e.g., Looker, Tableau, Power BI)
- Foundational understanding of data modeling and analytics best practices
- Experience defining and tracking KPIs and metrics
- A/B testing and causal analysis
- Strong analytical and problem-solving skills with attention to detail
- Clear written and verbal communication skills
Ability to work collaboratively in cross-functional and consulting-style environments - Interest in learning about data governance, privacy, and security best practices
Perks and Benefits
- Comprehensive Health & Wellness Benefits Package
- Retirement Planning
- Parental Leave Program
- Flexible Working Hours
- Work from Home Flexibility
- Service Recognition Programs
- Socials, Outings & Retreats
- Culture of Learning & Development
Bonus Points
Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses, make sure to highlight this experience in your cover letter if you have!
Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.
The estimated compensation for this position is $75,000 to $100,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.
While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.
#LI-Hybrid
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Apply to Konrad
Who We Are
Konrad is a next-generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard-working people who are lifelong learners.
About The Role
As a Senior Data Analyst, you are an experienced analytics professional who leads analytical initiatives and partners directly with stakeholders to shape data-informed strategy. You drive the design and delivery of analytics and reporting solutions that enable clients to understand performance, identify opportunities, and make confident business decisions.
You work closely with consultants, data engineers, developers, designers and clients across multiple engagements. You own analytical problem-solving from discovery to delivery, mentor junior analysts, and help establish best practices across data modeling, experimentation, and reporting.
You are curious, pragmatic, and comfortable navigating ambiguity. You translate complex business problems into structured analysis, proactively surface insights, and influence decisions through clear communication and thoughtful storytelling.
What You’ll Do
- Partner with client and internal stakeholders to define business questions, success metrics, and measurement strategies
- Lead analytical projects end-to-end including discovery, data validation, analysis, and presentation of recommendations
- Design and implement scalable dashboards and reporting frameworks for executive and operational decision-making
- Develop and maintain metric definitions, documentation, and analytics standards across engagements
- Perform deep-dive analyses to identify drivers, opportunities, and risks across product and business performance
- Design and evaluate A/B tests and experimentation strategies, including statistical interpretation and recommendations
- Collaborate with data engineers to design data models and ensure reliable, high-quality reporting layers
- Mentor junior analysts and review analytical work to ensure quality and rigor
- Communicate insights through clear narratives, visualizations, and executive-level presentations
- Identify and implement improvements to analytics workflows, governance, and data quality processes
Qualifications
- Minimum 4+ years of experience in a data analyst, business intelligence, product analytics, or consulting analytics role
- Strong SQL expertise and experience querying cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery)
- Proficiency in Python, R, or similar language for data analysis and automation
- Advanced experience with Business Intelligence and visualization tools (e.g., Looker, Tableau, Power BI)
- Strong understanding of data modeling, dimensional modeling, and analytics architecture concepts
- Experience defining KPIs, measurement frameworks, and decision metrics
- Hands-on experience designing and analyzing experiments (A/B testing, causal inference, statistical interpretation)
- Proven ability to independently structure ambiguous problems and deliver actionable insights
- Experience working directly with stakeholders and presenting to leadership audiences
- Strong written and verbal communication skills and ability to influence decisions
Experience mentoring analysts or reviewing analytical work - Familiarity with data governance, privacy, and security best practices
Perks and Benefits
- Comprehensive Health & Wellness Benefits Package
- Retirement Planning
- Parental Leave Program
- Flexible Working Hours
- Work from Home Flexibility
- Service Recognition Programs
- Socials, Outings & Retreats
- Culture of Learning & Development
Bonus Points
Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses, make sure to highlight this experience in your cover letter if you have!
Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.
The estimated compensation for this position is $105,000 to $115,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.
While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.
#LI-Hybrid
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Who We Are
Konrad is a next-generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard-working people who are lifelong learners.
About The Role
As a Data Architect, you are a technically strong and curious problem-solver who applies expertise in data science, enterprise data architecture, system design, and data governance best practices to solve complex business challenges. You design and oversee the development of scalable, secure, and reliable data solutions, and can clearly communicate the value of your designs to both technical and business audiences.
You will collaborate closely with data engineers, analysts, product managers, and clients to design and deliver data & AI solutions that drive measurable impact. You are comfortable working with large databases, designing enterprise data systems, and contributing to AI-enabled products in strict regulatory environments. As a senior contributor on the team, you bring a strong foundation in data science, system design, and modern data tooling.
What You’ll Do
- Partner with clients and internal teams to identify opportunities where data science and machine learning can drive business value
- Explore, analyze, and prepare large datasets for modeling and experimentation
- Design, build, and validate statistical, predictive, and machine learning models
- Develop and deploy scalable data science and AI solutions in collaboration with engineering teams
- Evaluate model performance and continuously iterate to improve accuracy (including A/B testing and causal analysis)
- Lead data modernization & migration projects at large enterprises
- Communicate findings, methodologies, and recommendations clearly to technical and non-technical stakeholders
- Stay current with emerging data science, AI, and machine learning techniques and tools
Qualifications
- Minimum 5+ years of experience in a data science, machine learning, or solution architect roles
- Strong proficiency in Python (or similar) and experience with data science libraries and frameworks
- Solid foundation in statistics, probability, and machine learning techniques
- Experience designing and managing the build-out of cloud-based data platforms and data warehouses (e.g., Snowflake, Databricks BigQuery, Redshift)
- Familiarity with model deployment, monitoring, and lifecycle management
- Experience with containerization (e.g., Docker) and building production APIs (e.g., FastAPI) and applications (e.g., Django or Flask).
- Experience collaborating with data engineering teams on production-grade solutions
- Strong problem-solving skills and the ability to frame ambiguous business problems into technology solutions and gaining stakeholder buy-in
- Excellent communication and presentation skills
- Experience working in agile, consulting, or cross-functional environments
Perks and Benefits
- Comprehensive Health & Wellness Benefits Package
- Socials, Outings & Retreats
- Retirement Planning
- Parental Leave Program
- Annual tech & travel allowance
- Culture of Learning & Development
- Flexible Working Hours
- Work from Home Flexibility
- Service Recognition Programs
Bonus Points
Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses, make sure to highlight this experience in your cover letter if you have!
Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.
The estimated compensation for this position is $120,000 to $150,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.
While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.
#LI-Hybrid
Ready to apply?
Apply to Konrad
Who We Are
Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard working people who are lifelong learners.
About The Role
As a Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions.
What You’ll Do
- Design, build, and manage robust data pipelines and data architectures.
- Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake.
- Optimize data workflows, ensuring reliability, scalability, and performance.
- Collaborate with internal stakeholders to understand data needs and deliver tailored solutions.
- Ensure data security and compliance with industry standards and best practices.
- Perform data modelling, data extraction, transformation, and loading (ETL/ELT).
- Identify and recommend innovative solutions to enhance data quality and analytics capabilities.
Qualifications
- Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
- At least 3 years of professional experience as a Data Engineer or similar role.
- Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake.
- Hands-on experience with data pipeline tools, cloud services, and storage solutions.
- Strong programming skills in SQL, Python, or related languages.
- Experience with big data technologies and concepts (Spark, Hadoop, Kafka).
- Excellent analytical, troubleshooting, and problem-solving skills.
- Strong understanding of data modeling concepts including medallion architecture, data vault, grain, fact tables, dimensions, and schema design.
- Hands-on experience building and maintaining transformation layers using dbt or similar ELT tools.
- Experience building production-grade data models with optimized performance supporting operational decision-making.
- Experience designing batch and real-time ingestion frameworks with real-time monitoring
- Ability to effectively communicate technical concepts clearly to non-technical stakeholders.
Nice to have
- Certifications related to Azure Data Engineering, Databricks, or Snowflake.
- Familiarity with DevOps practices and CI/CD pipelines.
Perks and Benefits
- Comprehensive Health & Wellness Benefits Package
- Retirement Planning
- Parental Leave Program
- Flexible Working Hours
- Work from Home Flexibility
- Service Recognition Programs
- Socials, Outings & Retreats
- Culture of Learning & Development
Bonus Points
Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses - make sure to highlight this experience in your cover letter if you have!
Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.
The estimated compensation for this position is $90,000 to $125,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.
While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.
#LI-Hybrid
Ready to apply?
Apply to Konrad
Développeur(se) senior en Apprentissage automatique, Intelligence des actifs
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MaintainX est la première plateforme mobile au monde dédiée à la gestion des actifs et des tâches dans les environnements industriels et de première ligne. Nous proposons une solution moderne, basée sur l'IoT et le cloud, qui facilite la maintenance, la sécurité et l'exploitation des équipements et installations physiques.
Nous aidons plus de 12 000 organisations, dont Duracell, Univar Solutions, Titan America, McDonald's, Brenntag, Cintas, Xylem et Shell, à atteindre l'excellence opérationnelle et la fiabilité à grande échelle.
À la suite de notre série D de 150 millions de dollars menée par Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures et Ridge Ventures, MaintainX a levé un total de 254 millions de dollars, valorisant la société à 2,5 milliards de dollars.
Alors que nous entrons dans notre prochaine phase de croissance, nous investissons massivement dans l'IA/ML, les LLM et l'IoT industriel afin de transformer le mode de fonctionnement des équipes de première ligne, en prédisant les pannes avant qu'elles ne se produisent, en automatisant les flux de travail et en intégrant l'intelligence dans chaque actif et chaque procédure.
Le poste
Nous recherchons un développeur(se) senior en apprentissage automatique appliqué hautement qualifié et motivé pour orienter la direction technique et l'architecture de nos initiatives en matière de maintenance prédictive et d'intelligence des actifs.
Vous combinerez une expertise approfondie en apprentissage automatique avec de solides compétences en génie logiciel et en sens du leadership. Vous encadrerez des ingénieurs, développerez des systèmes et piloterez la feuille de route pour l'intelligence de maintenance basée sur l'IA sur des milliers de sites industriels.
Ce poste se situe à la croisée de l'architecture d'apprentissage automatique, des systèmes de données IoT et de l'impact des produits, et constitue le fondement de la stratégie d'IA prédictive et générative de MaintainX.
Ce que vous ferez:
- Diriger la direction technique pour la maintenance prédictive, la détection des anomalies et l'intelligence alimentée par LLM dans tous les produits MaintainX.
- Concevoir des systèmes ML de bout en bout, de l'ingestion des données et le développement des fonctionnalités à la formation, au déploiement et à la surveillance des modèles.
- Encadrer une équipe croissante de développeurs(ses) ML et de données, en inculquant les meilleures pratiques en matière d'expérimentation, d'évaluation et de gestion du cycle de vie des modèles.
- Collaborer avec les responsables des produits et de développement afin d'aligner la feuille de route de l'IA sur les besoins des clients et les objectifs commerciaux.
- Concevoir des boucles de données et de rétroaction fiables qui relient la télémétrie des clients et les commentaires des opérateurs au réentraînement des modèles.
- Optimiser les performances grâce à des techniques telles que la quantification, la distillation et le service d'inférence évolutif.
- Travailler avec des cadriciels LLM (LangChain, LlamaIndex, Hugging Face) pour créer des systèmes de raisonnement et des flux de travail agentifs pour l'intelligence des actifs et du travail.
- S'assurer que l'infrastructure ML répond aux normes de production en matière de latence, de fiabilité, d'explicabilité et de sécurité.
À propos de vous:
- Plus de 7 ans d'expérience dans le domaine de l'apprentissage automatique, de la science des données ou de l'IA appliquée.
- Expertise en Python et excellente maîtrise de PyTorch, TensorFlow et des piles ML cloud (AWS, Databricks ou similaires).
- Expérience avérée dans le déploiement à grande échelle de systèmes ML de production, et pas seulement de prototypes.
- Solide expérience en LLM, modélisation de séries chronologiques et détection d'anomalies pour les données du monde réel.
- Capacité avérée à diriger les décisions architecturales, à encadrer les développeurs(ses) et à collaborer avec les équipes chargées des produits, des données et des plateformes.
- Connaissance des outils MLOps (Docker, Kubernetes, Weights & Biases, MLflow, SageMaker).
- Diplôme de deuxième cycle (master/doctorat) en informatique, apprentissage automatique ou dans un domaine connexe préféré.
Une attention particulière est accordée aux candidats présentant les caractéristiques suivantes:
- Expérience avec l'OCR pour l'extraction de données structurées à partir de documents.
- Expérience dans la modélisation de séries chronologiques pour la maintenance prédictive et la détection d'anomalies.
- Connaissance des systèmes IoT industriels (capteurs, télémétrie, edge computing).
- Expérience dans l'application de l'apprentissage par renforcement ou des architectures agentuelles pour les systèmes de prise de décision et de contrôle.
- Contributions à des frameworks ML open source ou à la recherche dans les domaines de la fiabilité, de l'explicabilité ou des jumeaux numériques.
Quels sont les avantages pour vous?:
- Un salaire compétitif et des opportunités d'équité significatives.
- Couverture des soins de santé, des soins dentaires et de la vue.
- Programme d'inscription 401(k) / RRSP.
- Prenez les congés dont vous avez besoin.
- Une culture du travail :
- Vous travaillerez avec des personnes intelligentes, humbles et optimistes à travers le monde.
- Un environnement méritocratique où les idées et les résultats sont publiquement célébrés.
Qui sommes-nous:
MaintainX s'engage à créer un environnement diversifié. Tous les candidats qualifiés seront pris en considération pour un emploi sans considération de race, de couleur, de religion, de sexe, d'identité ou d'expression de genre, d'orientation sexuelle, d'origine nationale, de génétique, d'invalidité, d'âge ou de statut d'ancien combattant.
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Développeur(euse) de données sénior, gouvernance des données
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MaintainX est la plus importante plateforme au monde en matière de gestion des actifs et d'intelligence du travail pour les environnements industriels et de première ligne. Nous sommes un outil moderne de type IdO et basé sur le réseau informatique en nuage pour la fiabilité, la sécurité et les opérations de l'équipement physique et des installations. MaintainX alimente l'excellence opérationnelle pour plus de 12 000 entreprises, notamment Duracell, Univar Solutions Inc, Titan America, McDonald's, Brenntag, Cintas, Xylem et Shell. Nous avons récemment conclu un financement de série D de 150 millions de dollars, portant notre financement total à 254 millions de dollars et évaluant l’entreprise à 2,5 milliards de dollars.
L'opportunité:
Ce que vous ferez::
- Gérer et faire évoluer le cadre de gouvernance des données à travers la plateforme de données, incluant la qualité, l'accès, la découvrabilité, la rétention, la classification, la résidence, la conformité et le cycle de vie
- Définir et appliquer les normes de qualité des données; concevoir et maintenir les contrats de données, les vérifications de qualité automatisées et les outils d'observabilité des données
- Gérer les contrôles d'accès aux données à travers la plateforme de données (RBAC Unity Catalog, sécurité au niveau des lignes et des colonnes, gestion des principaux de service)
- Gérer les politiques de rétention et de résidence des données; mettre en œuvre la gestion du cycle de vie
- Concevoir et maintenir la couche de métadonnées et de catalogue pour la découvrabilité et la traçabilité des données
- Collaborer avec les autres équipes de gouvernance pour traduire les exigences de conformité en contrôles de plateforme de données
À propos de vous:
- Expérience dans la création de programmes de gouvernance des données dans un environnement lakehouse infonuagique moderne
- Expérience pratique avec les outils de qualité et d'observabilité des données
- Expérience avec les modèles de contrôle d'accès dans les plateformes de données infonuagiques (RBAC, sécurité au niveau des lignes et des colonnes)
- Expérience dans la mise en œuvre des exigences de conformité de bout en bout (ex. : SOC2, FedRAMP, RGPD), de l'interprétation des politiques aux contrôles de la plateforme
- À l'aise pour définir des normes, concevoir des cadres et influencer les pratiques de façon transversale sans autorité directe
- Opinions tranchées sur les contrats de données et la responsabilisation des producteurs et consommateurs de données
- Opinions tranchées sur la gouvernance décentralisée des données
Atouts:
- Expérience dans la mise en œuvre de la gouvernance des données dans Databricks (Unity Catalog)
- Expérience dans la mise en œuvre de la gouvernance des données dans un contexte à la fois produit et interne (données appartenant aux clients vs. données appartenant à MaintainX)
- Familiarité avec les principes du data mesh et la propriété des données orientée par domaine
Quels sont les avantages pour vous?:
- Un salaire compétitif et des opportunités d'équité significatives.
- Couverture des soins de santé, des soins dentaires et des soins de la vue.
- Programme d'inscription 401(k) / RRSP.
- Prenez les congés dont vous avez besoin.
- Une culture du travail où :
- Vous travaillerez aux côtés de personnes du monde entier qui reflètent les principes de MaintainX : Intelligents, Humbles, Optimistes.
- Nous croyons en la méritocratie, où les idées et les efforts sont publiquement célébrés.
Qui sommes-nous:
Ready to apply?
Apply to MaintainX
Senior Applied Machine Learning Developer, Asset Intelligence
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MaintainX is the world’s leading mobile-first Asset and Work Intelligence platform for industrial and frontline environments. We’re a modern, IoT-enabled, cloud-based solution that powers maintenance, safety, and operations on physical equipment and facilities.
We help 12,000+ organizations—including Duracell, Univar Solutions, Titan America, McDonald’s, Brenntag, Cintas, Xylem, and Shell—achieve operational excellence and reliability at scale.
Following our $150 million Series D led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, MaintainX has raised a total of $254 million, valuing the company at $2.5 billion.
As we enter our next phase of growth, we’re investing deeply in AI/ML, LLMs, and Industrial IoT to transform how frontline teams operate—predicting failures before they happen, automating workflows, and embedding intelligence into every asset and procedure.
The Role
We are seeking a highly skilled and motivated Senior Applied Machine Learning Developer to guide the technical direction and architecture of our Predictive Maintenance and Asset Intelligence initiatives.
You’ll combine deep ML expertise with strong software development and leadership skills—mentoring developers, scaling systems, and driving the roadmap for AI-enabled maintenance intelligence across thousands of industrial sites.
This role sits at the intersection of ML architecture, IoT data systems, and product impact, shaping the foundation for MaintainX’s predictive and generative AI strategy.
What you’ll do:
- Lead technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence across MaintainX products.
- Architect end-to-end ML systems—from data ingestion and feature development to model training, deployment, and monitoring.
- Mentor a growing team of ML and data developers, instilling best practices for experimentation, evaluation, and model lifecycle management.
- Partner with product and software development leaders to align AI roadmap with customer needs and business goals.
- Design reliable data and feedback loops that connect customer telemetry and operator feedback to model retraining.
- Drive performance optimization through techniques like quantization, distillation, and scalable inference serving.
- Work with LLM frameworks (LangChain, LlamaIndex, Hugging Face) to build reasoning systems and agentic workflows for asset and work intelligence.
- Ensure ML infrastructure meets production standards for latency, reliability, explainability, and security.
About you:
- 7+ years of experience in Machine Learning, Data Science, or Applied AI.
- Expertise in Python, and strong familiarity with PyTorch, TensorFlow, and cloud ML stacks (AWS, Databricks, or similar).
- Proven experience deploying production ML systems—not just prototypes—at scale.
- Strong background in LLMs, time-series modeling, and anomaly detection for real-world data.
- Demonstrated ability to lead architectural decisions, mentor developers, and collaborate across product, data, and platform teams.
- Knowledge of MLOps tooling (Docker, Kubernetes, Weights & Biases, MLflow, SageMaker).
- Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field preferred.
Bonus skills:
- Experience with OCR for extracting structured data from documents.
- Background in time-series modeling for predictive maintenance and anomaly detection.
- Familiarity with Industrial IoT systems (sensors, telemetry, edge computing).
- Experience applying reinforcement learning or agentic architectures for decision-making and control systems.
- Contributions to open-source ML frameworks or research in reliability, explainability, or digital twins.
What’s in it for you:
- Competitive salary and meaningful equity opportunities.
- Healthcare, dental, and vision coverage.
- 401(k) / RRSP enrollment program.
- Take what you need PTO.
- A high impact Culture:
- You’ll work with Smart, Humble Optimists across the globe.
- Meritocratic environment where ideas and outcomes are publicly celebrated.
About us:
We exist to make the lives of frontline and maintenance teams easier by building software that meets their real-world needs. Our product transforms how 80% of the global workforce—those who don’t sit behind a desk—manage their operations, assets, and teams.
MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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MaintainX est la plus importante plateforme au monde en matière de gestion des actifs et d'intelligence du travail pour les environnements industriels et de première ligne. Nous sommes un outil moderne de type IdO et basé sur le réseau informatique en nuage pour la fiabilité, la sécurité et les opérations de l'équipement physique et des installations. MaintainX alimente l'excellence opérationnelle pour plus de 12 000 entreprises, notamment Duracell, Univar Solutions Inc, Titan America, McDonald's, Brenntag, Cintas, Xylem et Shell.
Nous avons récemment conclu un financement de série D de 150 millions de dollars, portant notre financement total à 254 millions de dollars et évaluant l’entreprise à 2,5 milliards de dollars.
Nous recherchons un développeur de données senior pour rejoindre notre équipe en pleine expansion. Vous contribuerez à la création et à la maintenance de la plateforme de données qui alimente directement le produit MaintainX et permet l'analyse interne et la BI, tout en développant les capacités de la plateforme et les outils utilisés quotidiennement par les équipes de développement. Vous apporterez votre contribution à l'ensemble de la plateforme de données, y compris les pipelines (batch, micro-batch et streaming), le déploiement, la gouvernance et les outils de développement.
Ce que vous ferez:
- Construire et faire évoluer la plateforme de données basée sur Databricks utilisée pour les fonctionnalités des produits, l'apprentissage automatique et les rapports internes.
- Concevoir et développer des pipelines d'ingestion et de transformation de données fiables et évolutifs.
- Modéliser les données brutes en ensembles de données propres et fiables qui alimentent à la fois les fonctionnalités des produits et les analyses internes.
- Construire des abstractions et des outils de plateforme qui améliorent l'expérience des développeurs pour les producteurs et les consommateurs de données.
- Améliorer l'observabilité, les tests et la surveillance afin de garantir la fiabilité et la performance.
- Gérer et contribuer à la gouvernance, à la sécurité, à la conformité et aux contrôles d'accès des données.
- Contribuer aux normes et à l'architecture de la plateforme à mesure que celle-ci évolue.
- Collaborer avec les équipes de développement, d'apprentissage automatique, de produits et d'analyse afin de soutenir leurs cas d'utilisation des données.
À propos de vous:
- Connaissance des cadres réglementaires et de conformité (par exemple : RGPD, CCPA, SOC2, FedRAMP)
- Expérience en développement de logiciels backend, notamment en matière de stockage de données d'application (relationnel, non structuré, BLOB, etc.) et d'architecture orientée événements
- Expérience dans la création et l'exploitation de bases de données vectorielles et RAG
Qui sommes-nous:
Notre mission est de faciliter la vie des ouvriers dans le monde entier en créant des logiciels qui répondent à leurs besoins et à leurs réalités. Notre produit change véritablement la vie de 80% de la population active qui ne travaille pas derrière un bureau et qui a besoin d'un logiciel d'entreprise à portée de main.
MaintainX s'engage à créer un environnement diversifié. Tous les candidats qualifiés seront pris en considération pour un emploi sans considération de race, de couleur, de religion, de sexe, d'identité ou d'expression de genre, d'orientation sexuelle, d'origine nationale, de génétique, d'invalidité, d'âge ou de statut d'ancien combattant.
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MaintainX is the world's leading Asset and Work Intelligence platform for industrial and frontline environments. We are a modern IoT-enabled cloud-based tool for reliability, safety, and operations on physical equipment and facilities. MaintainX powers operational excellence for 13,000 businesses including Duracell, Univar Solutions Inc., Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell.
We recently completed a $150 million Series D funding round, bringing our total funding to $254 million and valuing the company at $2.5 billion.
We are seeking a Senior Data Developer to join our growing team. You will help build and maintain the data platform that directly powers the MaintainX product and enables internal analytics and BI, while developing platform capabilities and tooling used by software development teams daily. You will contribute across the data platform, including pipelines (batch, micro-batch, and streaming), deployment, governance, and developer tooling.
What you’ll do:
- Build and evolve the Databricks-based data platform used for product features, machine learning, and internal reporting
- Design and develop reliable and scalable data ingestion and transformation pipelines
- Model raw data into clean, reliable datasets that power both product features and internal analytics
- Build platform abstractions and tooling that improve developer experience for data producers and consumers
- Improve observability, testing, and monitoring to ensure reliability and performance
- Manage and contribute to data governance, security, compliance, and access controls
- Contribute to platform standards and architecture as the data platform scales
- Collaborate with software development, machine learning, product, and analytics teams to support their data use cases
About you:
- 6+ years of experience as a data developer in a modern, production-grade cloud data platform (Databricks or similar equivalent)
- Experience operating under ambiguity and making technical tradeoffs that balance velocity and value delivery with maintainability and technical debt
- Strong Python and SQL skills
- Experience with CDC pipelines
- Experience managing cloud infrastructure with Terraform (or similar infrastructure-management equivalent)
- Experience building CI/CD workflows using DABs and GitHub Actions (or similar)
- Experience with event-streaming with Kafka and Flink (or similar data-streaming architectures)
- Experience in query optimization, resource allocation and management, cost management, and data lake performance
- Experience working in a fast-paced, agile environment
Extra consideration for candidates with the following:
- Knowledge of compliance and regulatory frameworks (ex: GDPR, CCPA, SOC2, FedRAMP)
- Backend software development experience, including with application data storage (relational, unstructured, BLOB, etc.) and event-driven architecture
- Experience with building and operating vector databases and RAG
What’s in it for you:
- Competitive salary and meaningful equity opportunities.
- Healthcare, dental, and vision coverage.
- 401(k) / RRSP enrollment program.
- Take what you need PTO.
- A Work Culture where:
- You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist
- We believe in meritocracy, where ideas and effort are publicly celebrated
About us:
Our mission is to make the life of blue-collar workers easier worldwide by creating software that meets their needs and realities. Our product is truly life-changing for 80% of the workforce that doesn’t work behind a desk and needs enterprise-grade software at their fingertips.
MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the engineering talent to match.
The Opportunity:
We are seeking a Senior Data Developer with a strong background in data governance to join our growing team. You will own the governance foundation that underpins the MaintainX data platform, product and internal analytics, spanning quality, access, classification, discoverability, lineage, retention, and compliance. You will extend your influence across engineering systems and company-wide data sources, implementing frameworks, tooling, and policies that ensure the data ecosystem is well-governed at MaintainX.
What You’ll Do:
- Own and evolve the data governance framework across the data platform, including quality, access, discoverability, retention, classification, residency, compliance, and lifecycle
- Define and enforce data quality standards; build and maintain data contracts, automated quality checks and data observability tooling
- Manage data access controls across the data platform (Unity Catalog, RBAC, row/column-level security, service principal management)
- Own data retention and residency policies; implement lifecycle management
- Build and maintain the metadata and catalog layer for data discoverability and lineage
- Partner with other governance teams to translate compliance requirements into data platform controls
About You:
- Experience building data governance programs in a modern cloud lakehouse environment
- Hands-on experience with data quality and observability tooling
- Experience with access control patterns in cloud data platforms (RBAC, row/column-level security)
- Experience implementing compliance requirements end-to-end (ex: SOC2, FedRAMP, GDPR) from policy interpretation to platform controls
- Comfortable driving standards, building frameworks, and influencing practices cross-functionally without direct authority
- Strong opinions about data contracts and producer/consumer accountability
- Strong opinions about decentralized data governance
Nice to Have:
- Experience implementing data governance within Databricks (Unity Catalog)
- Experience implementing data governance in both a product and internal context (customer-owned data vs. MaintainX-owned data)
- Familiarity with data mesh principles and domain-oriented data ownership
What’s in it for you:
- Competitive salary and meaningful equity opportunities.
- Healthcare, dental, and vision coverage.
- 401(k) / RRSP enrollment program.
- Take what you need PTO.
- A Work Culture where:
- You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist
- We believe in meritocracy, where ideas and effort are publicly celebrated
About Us:
Our mission is to make the life of blue-collar workers easier worldwide by creating software that meets their needs and realities. Our product is truly life-changing for 80% of the workforce that doesn’t work behind a desk and needs enterprise-grade software at their fingertips. MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Senior Data Scientist, Menu Personalization
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The role
Are you passionate about food? Do you consider yourself an expert and enthusiast in developing and deploying large-scale recommender systems? Then this position might be the perfect fit for you!
You will join a high-impact team of data scientists, focusing exclusively on menu personalization. As a Senior Data Scientist, you will play a pivotal role in designing, implementing, and improving our personalized recommendation algorithms for culinary products across HelloFresh’s global markets. In this role, you can expect to have a large and tangible impact on customer experience and business growth by ensuring customers always see the most relevant and appealing menu options. You will work closely with other personalization Data Scientists, as well as Data, Backend, and Machine Learning Engineers, together delivering statistical solutions and ML models to production.
To succeed in this role you should be curious, able to deal with uncertainty, a fast learner, and someone who relentlessly prioritizes problem statements and tailors the solution accordingly. You should also be comfortable suggesting multiple solutions based on your experience, and prioritizing tasks based on effort and potential impact. As a senior member of the team, you will be expected to work independently when necessary, as well as support other team members occasionally.
What you’ll do
- Join and become an integral part of a high-impact team covering menu personalization.
- Contribute to designing and implementing the next generation of our recommender models, from experimentation and data collection to operationalization and closely aligning them with non-technical stakeholders.
- Shape and transform the future of customer experience at HelloFresh by proposing new personalization approaches and evolving the statistical and ML models in pace with future company strategies.
- Design and execute A/B tests to measure the impact of new recommendation strategies on key metrics.
- Work with state-of-the-art technologies like AWS (EMR, Glue, S3, etc), Kafka, PySpark, Airflow, Databricks, MLFlow, Claude (AI), as well as our in-house MLOPs tools.
- Collaborate closely within other functions (data engineering, backend engineering, ML engineering, product) to translate business objectives into concrete, data-driven personalization strategies.
- Analyze the performance of our models to understand customer behavior, and come up with improvements.
- Contribute to a collaborative and knowledge-sharing environment.
What you’ll bring
- Proven track record of scientific work in your Bachelor's, Master's, or PhD in computer science, statistics, physics, economics, mathematics, data science or similar.
- Long-term (3+ yrs) work experience as a (senior) data scientist focused on developing and deploying recommender systems or personalized ML models in a production environment.
- In-depth knowledge of various recommendation algorithms, evaluation metrics, and the practical challenges of building and maintaining a modern recommender system.
- Fluency and long-term experience in Python, including high familiarity with its scientific stack such as Numpy, Pandas, Scikit-learn, Matplotlib. (Experience in Databricks and PySpark is a plus).
- Ability to retrieve (using SQL), manipulate, and analyse large, heterogeneous datasets.
- Experience with software development practices and tools (Git, CI/CD, Docker, AWS).
- You love to learn, are a critical thinker and creative problem solver who strives for excellence.
- You are a team player who loves to collaborate and work with stakeholders from different backgrounds in an international environment.
- Exceptional communication and collaboration capabilities.
- Experience working with and leveraging Generative AI tools (e.g., Claude, Copilot) to support model development, experimentation, code generation, and documentation.
Interacting with product managers, UX designers, data and backend engineers, as well as business stakeholders, is very much part of our day-to-day, so communication skills are vital. We are looking for strong problem-solvers who can apply their statistical modeling and machine learning skills to a wide range of business problems in the personalization space while also acting as an ambassador to coach team members and stakeholders.
Above all, we are looking for people who will make HelloFresh better. We believe there are many different ways of developing skills, and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.
Let’s cut to the cheese, this is why you'll love it here
- Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
- Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
- Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance.
- Family Benefits - A parental leave top-up program for expectant parents.
- Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
- Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
- Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
- Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!
Flexible Hybrid Approach
At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience.
To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.
#LI-HYBRID
HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.
This is a posting for an existing vacancy. We are actively seeking to fill this position.
#DATA
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Solutions Architect
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P-225
While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in eastern Canada
As a Solutions Architect at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge and can drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customer's needs and build valuable customer engagements and report to the Field Engineering Manager.
The impact you will have:
- You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.
- Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.
- You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.
- Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.
- Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.
What we look for:
- 5+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies:
- Big data engineering (Ex: Spark, Hadoop, Kafka)
- Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS)
- Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)
- Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)
- Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.
- Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.
- Fluent in SQL and database technology.
- Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.
- [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP
- [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
- Travel to customers in your region up to 30% of the time.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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Senior Data Engineer, Event Data
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The Senior Data Engineer, Event Data will join a newly formed team responsible for building the systems that ingest, process, and serve the massive volume of client and internal event data that powers Movable Ink's platform. This is a ground-floor opportunity to shape the architecture of a critical data domain, working with modern streaming technologies, analytical databases, and Elixir and Python to solve problems at billions-event scale. You will help define how event data flows through the platform, making it faster, more reliable, and highly available for teams and clients across the organization.
Responsibilities:
- Design, build, and maintain event streaming pipelines that ingest data from client systems, internal services, and third-party sources into the data platform
- Develop and operate analytical databases and data models optimized for high-volume event data queries and low-latency access
- Write production Elixir and Python services for event processing, transformation, and routing
- Integrate legacy event pipelines with modern streaming infrastructure, designing migration paths that minimize risk and disruption to downstream consumers
- Build and maintain monitoring, alerting, and observability tooling for event data systems, ensuring pipeline health, data freshness, and SLA compliance
- Define and enforce event schemas, data contracts, and quality standards in partnership with producing and consuming teams
- Collaborate with the data platform, product engineering, and analytics teams to understand data needs and deliver reliable event data products
- Participate in system design reviews and help establish best practices for the Events Data team
Qualifications:
- 6+ years of professional experience in data engineering or backend/systems engineering, with significant focus on event-driven and streaming data systems
- Strong proficiency in Elixir and/or Python as a primary programming language for building application connectors, data services and pipeline components
- Advanced SQL skills for data modeling, query optimization, and analytical workloads
- Hands-on experience with columnar/OLAP (Online Analytical Processing) databases at production scale
- Experience with stream processing frameworks and message brokers such as Apache Flink, Kafka, Pulsar, or Kinesis; Flink experience is a strong plus
- Demonstrated ability to integrate and migrate systems, bridging legacy and modern architectures
- Proven track record of operationalizing data pipelines, including building monitoring, alerting, SLA dashboards, and runbooks for production systems
- Experience designing and operating data systems on AWS; GCP experience is a plus
- Strong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundaries
- Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar
- Experience with retail events data such as clickstream, purchase events, or product interaction data is a plus
Experience with Databricks, Flink and message brokers such as Kafka, Pulsar, or Kinesis is a plus
The base pay range for this position is $145k CAD - $185k CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.
Studies have shown that women, communities of color, and historically underrepresented people are less likely to apply to jobs unless they meet every single qualification. We are committed to building a diverse and inclusive culture where all Inkers can thrive. If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply. Our differences bring a breadth of knowledge and perspectives that makes us collectively stronger.
We welcome and employ people regardless of race, color, gender identity or expression, religion, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, ethnicity, family or marital status, physical and mental ability, political affiliation, disability, Veteran status, or other protected characteristics. We are proud to be an equal opportunity employer.
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Senior Engineer, Data Platform
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As a Senior Engineer on the Data Platform team at Movable Ink, you will help design and build the systems that power how data flows through the organization. You will play a key role in developing and operating the unified data platform responsible for ingesting, processing, and exposing large volumes of data that drive Movable Ink’s products. Working closely with teammates across engineering, analytics, and infrastructure, you will build scalable ingestion pipelines and backend services that integrate data from a variety of sources while ensuring reliability, governance, and high availability across the platform. You will help evolve legacy pipelines toward modern data architectures, and help drive the unification of our products and services in how they access data. Your work will directly impact the growth and maturity of Movable Ink’s products and services.
Responsibilities:
- Support the design and delivery of data ingestion pipeline and infrastructure
- Assist in the successful migration of legacy data lifecycle management to new platform without disrupting existing data consumers
- Establish and maintain SLIs and SLOs for new ingestion and data platform with dashboards and alerting to track performance
- Build flexible data storage layer supporting a variety of use cases, e.g., transactional, analytic, and machine learning workloads
- Implement comprehensive monitoring, observability, and incident response practices for all event data pipelines and services
- Collaborate with product engineering, analytics, and machine learning teams to define contracts, functional requirements, and standards
- Design and implement a semantic metadata layer that classifies and labels data assets across both products, enabling consistent data discovery, exposure policies, and identification of cross-product data reuse opportunities
- Architect and deliver a multi-tenant data model that supports secure data sharing and isolation across clients, with controls designed to meet regulatory and government compliance requirements
Qualifications:
- Deep understanding of data governance principles and data lifecycle management, including data quality, lineage, retention, and access control
- Strong familiarity with database backend technologies (OLAP vs. OLTP) and when to apply each, with hands-on experience using data warehouse technologies (Databricks, Clickhouse, Redshift, etc) at production scale
- Strong familiarity with SQL with the ability to write and optimize queries
- Skill at building complex systems and identifying core primitives and how to apply them to meet changing business needs and future roadmap requirements.
- Experience designing and operating data systems on a major cloud provider (AWS or GCP) and working in a multi-cloud deployment environment
- Proficiency with containerization and orchestration technologies, including Docker and Kubernetes
- Proven ability to integrate systems, connecting legacy platforms with modern architectures through well-designed interfaces and migration strategies
- Effective communicator who can facilitate system design discussions, document architectural decisions, and work across team boundaries
- (Nice to have) Familiarity with Elixir for building concurrent, fault-tolerant data services
- (Nice to have) Experience with data pipeline and streaming technologies such as Airflow, Kafka, Apache Flink, or similar
- (Nice to have) Hands-on experience with columnar/OLAP databases such as Databricks or ClickHouse
- Experience designing and operating data systems on AWS; GCP experience is a plus
- Strong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundaries
- Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar
The base pay range for this position is $145,000-$185,000/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.
Studies have shown that women, communities of color, and historically underrepresented people are less likely to apply to jobs unless they meet every single qualification. We are committed to building a diverse and inclusive culture where all Inkers can thrive. If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply. Our differences bring a breadth of knowledge and perspectives that makes us collectively stronger.
We welcome and employ people regardless of race, color, gender identity or expression, religion, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, ethnicity, family or marital status, physical and mental ability, political affiliation, disability, Veteran status, or other protected characteristics. We are proud to be an equal opportunity employer.
Ready to apply?
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Strategic Enterprise Hunter Account Executive, Telco
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SLSQ327R11
As a Strategic Enterprise Hunter Account Executive at Databricks, you are a strategic sales professional experienced in selling into enterprise accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to close net new logos. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.
The impact you will have:
- Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
- Close both new accounts and existing accounts
- Identify and close quick, small wins while managing longer, complex sales cycles
- Exceed activity, pipeline, and revenue targets
- Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
- Use a solution-based approach to selling and creating value for customers
- Promote Databricks' enterprise cloud data platform powered by Apache Spark™
- Ensure 100% satisfaction among all customers
- Prioritize opportunities and applying appropriate resources
- Build a plan for success internally at Databricks and externally with your accounts
What we look for:
- You have previously worked in an early stage company and you know how to navigate and be successful
- Field sales experience within big data, Cloud, or SaaS sales
- Hunter (Net-New Logo) Experience
- Prior customer relationships with CIOs, program managers, and essential decision makers
- Simply articulate intricate cloud technologies
- 7+ years experience exceeding sales quotas
- Understanding of Spark and big data preferable
- Passion for cloud technologies
- Bachelor's Degree
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Enterprise Geo Account Executive
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SLSQ327R13
As an Enterprise Geo Account Executive at Databricks, you get to work with some of the most exciting, disruptive companies using data to change the world. You are creative and self-motivated with experience running both transactional and strategic sales processes. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while expanding existing accounts. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. You will report to a regional sales manager.
The impact you will have:
- Build a territory plan by 30 days with a clear account prioritization strategy.
- Align both new and existing customers with the Lakehouse vision and ecosystem.
- Be able to range from faster transactions to large strategic deals.
- Meet and exceed activity, pipeline, and revenue targets; you will be expected to prospect in this role.
- Maintain clear Salesforce and Clari hygiene including use case, MEDDPICC, revenue forecasts, and account notes.
- Lead with a customer first mindset and focus on business value
What we look for:
- 5+ years of closing sales experience
- Prior experience in big data, Cloud, or SaaS sales
- Be able to quickly learn new technologies and value proposition
- Experience exceeding sales KPIs and quotas
- Success closing new accounts while working existing accounts
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Strategic Enterprise Account Executive - Financial Services
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SLSQ426R946
As a Strategic Enterprise Account Executive - Financial Services at Databricks, you are a strategic sales professional experienced in selling into enterprise accounts. Having experience working with Financial Services accounts is preferred. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to drive consumption. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.
The impact you will have:
- Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
- Close both new accounts and existing accounts
- Identify and close quick, small wins while managing longer, complex sales cycles
- Exceed activity, pipeline, and revenue targets
- Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
- Use a solution-based approach to selling and creating value for customers
- Promote Databricks' enterprise cloud data platform powered by Apache Spark™
- Ensure 100% satisfaction among all customers
- Prioritize opportunities and applying appropriate resources
- Build a plan for success internally at Databricks and externally with your accounts
What we look for:
- You have previously worked in an early stage company and you know how to navigate and be successful
- Field sales experience within big data, Cloud, or SaaS sales
- FINS Experience
- Prior customer relationships with CIOs, program managers, and essential decision makers
- Simply articulate intricate cloud technologies
- 7+ years experience exceeding sales quotas
- Understanding of Spark and big data preferable
- Passion for cloud technologies
- Bachelor's Degree
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks