SLSQ327R1

As an Account Executive - Enterprise Hunter, your primary mission will be to identify, acquire, and grow new business opportunities across multiple industries. This role is focused on securing new logos and driving revenue growth by targeting Enterprise accounts across the Public Sector. You are a proactive "hunter" who thrives on building relationships, navigating complex sales cycles, and closing high-value deals. You will work closely with cross-functional teams to deliver tailored solutions that address client needs and establish long-term partnerships. You will report to the Sales Director, Public Sector.

The impact you will have:

• Secure new Enterprise accounts across multiple customers, creating a strong foundation for long-term partnerships.
• Develop and execute a focused strategy for identifying and winning high-potential accounts in untapped markets.
• Identify and close quick wins while managing longer, complex sales cycles.
• Plan, document, and drive the growth of Databricks usage in newly won accounts to maximize customer impact.
• Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates.
• Use a solution-based approach to selling and creating value for customers.
• Develop a deep and detailed understanding of the customer's business.
• Provide leadership to the customer, important staff, and technical teams.
• Identify all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization.
• Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions.

What we look for:

• 5+ years of experience selling multi-million dollar complex software deals to the region's recognizable organizations within the Public Sector segment.
• Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem.
• Background in selling usage-based PaaS/ SaaS solutions, or other Data/ AI/ML technologies.
• 5+ years of experience in sales methodologies and processes, e.g. account planning, MEDDPICC, value selling, and Command of the Message.
• 5+ years of experience in hunting in a greenfield space while also consulting with existing accounts to expand further use.
• Build customer champions and collaborative teams to support the implementation of the expansion plan.
• Understanding of how to develop a clear partner strategy and manage it successfully.

This position is 100% remote

Overview:

As a Senior Software Developer, you will be part of the team that designs and develops microservices in a hybrid-cloud architecture as part of Precisely’s Data Integrity Suite, under the Integration part of the portfolio. You will be deeply involved in the design, development, and unit testing of the applications. You will collaborate with architects, UX experts, product managers, and other software developers for developing solutions. You are expected to be hands-on and up-to-date with the latest technology.

What you will do:

• End-to-end technical ownership of product features
• Responsible for unit-level design, coding, unit testing, integration testing, and participating in the full SDLC
• Participate/own technical designs, participate in discussions, constructively suggest and receive ideas & feedback for solutions
• Collaborate with other team members, and work with cross-functional teams as required to design and develop innovative solutions according to requirements. The practice of peer reviewing code needs to be followed
• Evaluate, learn, and incorporate new technologies into new and existing frameworks and solutions as applicable
• Be agile and embrace change

What we are looking for:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline
• Back-end developer with 4-6 years of experience in the industry, involved in design and development of Java applications
• At least 3-4 years of demonstrable experience with cloud technologies in a microservice architecture
• Demonstrated expertise in Java/J2EE, Spring Framework
• Experience writing and consuming REST APIs in building scalable, modern web applications
• Good knowledge of CI/CD processes, and knowledge of Jira, Git, Gradle, and Artifactory
• Knowledge of cloud platforms (AWS, Azure, or GCP)
• Experience with containerization technologies like Docker and Kubernetes
• Hands-on experience with traditional relational databases (e.g. Oracle, SQL Server, PostgreSQL), cloud data warehouses (BigQuery, Snowflake, Databricks), and streaming technologies such as Kafka
• Knowledge of database connectivity using JDBC and/or ODBC
• Knowledge of Db2 for IBM i and/or Db2 for z/OS a plus
• Familiarity with Change Data Capture a plus
• Experience using tools like GitHub Copilot or Claude Code
• Knowledge of AI agents and MCP servers
• Familiarity with spec-driven development (SDD) a plus

#LI-GB1 #LI-Remote 

This position is 100% remote

Overview:

As a Senior Software Developer, you will be part of the team that designs and develops microservices in a hybrid-cloud architecture as part of Precisely’s Data Integrity Suite, under the Integration part of the portfolio. You will be deeply involved in the design, development, and unit testing of the applications. You will collaborate with architects, UX experts, product managers, and other software developers for developing solutions. You are expected to be hands-on and up-to-date with the latest technology.

What you will do:

• End-to-end technical ownership of product features
• Responsible for unit-level design, coding, unit testing, integration testing, and participating in the full SDLC
• Participate/own technical designs, participate in discussions, constructively suggest and receive ideas & feedback for solutions
• Collaborate with other team members, and work with cross-functional teams as required to design and develop innovative solutions according to requirements. The practice of peer reviewing code needs to be followed
• Evaluate, learn, and incorporate new technologies into new and existing frameworks and solutions as applicable
• Be agile and embrace change

What we are looking for:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline
• Back-end developer with 4-6 years of experience in the industry, involved in design and development of Java applications
• At least 3-4 years of demonstrable experience with cloud technologies in a microservice architecture
• Demonstrated expertise in Java/J2EE, Spring Framework
• Experience writing and consuming REST APIs in building scalable, modern web applications
• Good knowledge of CI/CD processes, and knowledge of Jira, Git, Gradle, and Artifactory
• Knowledge of cloud platforms (AWS, Azure, or GCP)
• Experience with containerization technologies like Docker and Kubernetes
• Hands-on experience with traditional relational databases (e.g. Oracle, SQL Server, PostgreSQL), cloud data warehouses (BigQuery, Snowflake, Databricks), and streaming technologies such as Kafka
• Knowledge of database connectivity using JDBC and/or ODBC
• Knowledge of Db2 for IBM i and/or Db2 for z/OS a plus
• Familiarity with Change Data Capture a plus
• Experience using tools like GitHub Copilot or Claude Code
• Knowledge of AI agents and MCP servers
• Familiarity with spec-driven development (SDD) a plus

#LI-GB1 #LI-Remote 

What do we need

We are seeking a Scientific Technical Solutions Lead to join the team developing scientific Solutions built on Dotmatics LUMA, a next-generation, multi-tenant, AI-powered data management and workflow automation for multimodal scientific discovery. As a Scientific technical lead on the team, you will work closely with other Solution Architects, product management, engineering teams, and external stakeholders to deliver exceptional product capabilities via Luma Solutions.

Your focus will be on designing and implementing the configuration necessary to realise product vision and on ensuring that this configuration follows best practices within the Life Sciences and Chemical & Material space.

This role offers the opportunity to shape a foundational part of the modern lab—helping scientists work faster, smarter, and with greater impact.

In this role you will get to:

• Design configuration: Collaborate with Product to determine application structure, define entity/data models, specify task workflows (Scientific Workflows) , and define desired data visualization experiences
• Develop configuration: Create registration entities, data flows, task templates, data visualization experiences, and other configurations in support of developing Luma Solutions that will be delivered as part of the product
• Test and troubleshoot configuration: Perform in-team testing of configuration and assist is handing test cases to the QA group for release testing. Troubleshoot configuration to understand why it is not producing desired results.
• Contribute to documentation: Write draft documentation of configuration and workflows and collaborate with the Documentation team to develop final customer-facing documentation
• Train internal and external users: Train members of other Dotmatics teams and early customers on how to use Luma Solutions configuration and the workflows it supports
• Provide input into new product features: Use new product features in Luma Solutions and provide feedback on the experience, participate in user experience testing, and provide input to the Product team about features that will enable the best Solutions
• Champion quality and best practices: Actively participate in the development of best practices for Luma configuration, and ensure these best practices are followed in the development of Luma Solutions

We are looking for people who have 10+ years of hands-on experience building and delivering informatics solutions for Life Sciences customers. The ideal candidate holds a Bachelor's or advanced degree in Life Sciences, Data Science, Chemistry, Biology, Bioinformatics, or a related technical discipline — and brings a genuine passion for quality and continuous improvement, fueled by a drive to solve problems that truly matter.

The key skills we are looking for: 

• Life Science Industry experience, either as a Scientific Solution Architect, technical application Scientist or a Scientist who has been heavily involved with designing products or technical applications
• Advanced expertise in data modeling, with a proven ability to design robust, scalable data structures
• Expert-level proficiency in configuring low-code platforms and designing end-to-end workflows
• Demonstrated success delivering scientific data platforms or tools spanning data modeling, ETL, APIs, and BI/reporting
• Expert-level SQL skills, with strong working knowledge of Python and JSON
• Deep experience integrating tools and modules to architect complete, cohesive solutions
• Strong analytical ability to translate product requirements into precise technical configuration designs
• Excellent communication skills — able to distill complex technical concepts for both technical and non-technical audiences at all levels
• Experience running and/or supporting scientific workflows in a production or research environment

You may also have 

• Experience running scientific test cases
• Understanding of software testing and or SDLC
• Working knowledge of Databricks
• Drug Discovery or Biotechnology industries or Other scientific Industries

SLSQ327R246

Do you want to help solve the world's toughest business problems with Data and AI? This is what we do every day at Databricks.

We are looking for an Enterprise Sales Director to lead our growing Public Sector business in Ottawa.  Leading a team of Enterprise Named and Strategic Account Executives, you will be measured by achieving your team's overall quota and growing Databricks' consumption. This is a team of account executives that are passionate about building a data ecosystem, technically knowledgeable, and have a strong desire to drive value for our customers.

You will oversee the sales team, implementing sales plans, expanding existing business and delivering accurate sales forecasting and reporting. 

This is a fantastic opportunity to build upon a highly successful team achieving significant year on year growth, in a fast growing business which is a hugely impactful part of the Canadian sales organization. We are looking for owners, who will go the extra mile and want to be the very best at what they do.

The impact you will have:

• Lead a team of account executives, ensuring you coach them to develop the skills and behaviors they will need to succeed
• Establish company territory plans, team structure, individual quotas and patches for your team, including investment capacity requirements
• Report on revenue forecast and strategic GTM programs
• Partner with cross-functional teams to manage a complete revenue and customer success process
• Inspire a culture of teamwork, leading with value and achieving desired customers outcomes
• Develop trust-based relationships with customers and partners to ensure long-term success
• Encourage learning and ongoing understanding of technical product details and our future product roadmap
• Establish a revenue growth and investment plan in the first 90 days
• Deliver our strategic growth plans, in collaboration with the other function leaders across Canada, ensure forecast accuracy and a predictable, high-growth business 

What we look for:

• Experience as a high-growth enterprise software sales leader with experience leading sales teams serving Named and Strategic customers within the Data, AI, Cloud, or SaaS Sales Industry, specifically within the Public Sector space.
• History of exceeding sales quotas in similar high-growth technology companies
• Ability to engage with and hire sales talent in the market
• Focus and emphasis on methodology-based sales coaching, MEDDPIC and a Challenger mentality
• Experience of value-based sales with both the business and IT stakeholders including C suite
• Experience in leadership roles focused on managing sales organisations to influence, develop, and achieve objectives within Data, AI, Cloud, or SaaS sales
• Extended Executive relationship network with key customers.
• Knowledge of the partner ecosystem to help grow Enterprise strategic territories
• Success implementing strategies for consumption and commitment-based sales revenue models.

BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cybersecurity SaaS portfolio.

Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.

The Role

As a Data Engineer at BeyondTrust, you will help build and enhance our data lake which currently consumes billions of events each day. You will leverage state-of-the-art data engineering tools to create cost-effective cloud solutions that enable next-level cybersecurity research. You will enhance and optimize our existing infrastructure and develop new data assets to drive additional business value. 

What You’ll Do

• Take ownership of data modelling to solve complex identity security problems.
• Solve complex analytical problems across disparate systems to provide a unified view of security posture in the datalake
• Optimize data workloads at a software level by improving processing efficiency. 
• Identify opportunities for engineering process improvement and collaborate with senior resources to execute a plan of action.
• Use monitoring and observability best practices to ensure optimal pipeline performance.
• Assist with ML Operations to ensure optimal model efficiency.
• Leverage CI/CD best practices to effectively develop and release source code. 

What You’ll Bring

• Strong programming and technology knowledge in cloud data processing. 
• Spark experience is needed, existing Databricks knowledge is a plus. 
• Interest and aptitude for cybersecurity; interest in identity security is highly preferred.  
• Technical understanding of underlying systems and computation minutiae.
• Experience working with distributed systems and data processing on object stores.
• Ability to work autonomously 

Technologies You Should Know

• Required: Data warehousing for analytics use cases
• Required: Highly proficient in Python (or another object orientated language)
• Required: Distributed processing framework experience
• Highly Preferred: Spark
• Highly Preferred: Realtime processing experience.
• Ideal: Some experience with graph data stores 

Better Together

Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected.

We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together, we are stronger together.

About Us

BeyondTrust is the global identity security leader protecting Paths to Privilege™. Our identity-centric approach goes beyond securing privileges and access, empowering organizations with the most effective solution to manage the entire identity attack surface and neutralize threats, whether from external attacks or insiders.

BeyondTrust is leading the charge in transforming identity security to prevent breaches and limit the blast radius of attacks, while creating a superior customer experience and operational efficiencies. We are trusted by 20,000 customers, including 75 of the Fortune 100, and our global ecosystem of partners.

Learn more at www.beyondtrust.com. 

#LI-DN1

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.

BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cybersecurity SaaS portfolio.

Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.

The Role

As a Principal Architect for EPM, you will be a senior member of the technical team that sets the vision and overall design of our software solutions. You will partner closely with product engineering, platform teams, and stakeholders across the Office of the CTO to shape the next generation of our EPM platform. This role sits at the intersection of large-scale cloud architecture, big data systems, and product engineering. You will define architectural direction, drive key technical decisions, and ensure our platform continues to scale securely and efficiently as our customer base and data volumes grow.

What You’ll Do

• Set the technical vision and architectural direction for the EPM platform
• Partner with product engineering teams to design scalable, resilient, cloud-native services
• Drive technical decisions across scalability, resilience, security, and cost optimization
• Document and communicate architectural decisions, trade-offs, and roadmaps to engineering teams, leadership, and cross-functional stakeholders
• Provide input on technology selection and help drive best practices for cloud-native development, observability, and operational excellence
• Help define overall architectural principles, frameworks, and standards that other product teams can adopt
• Contribute to the architecture strategy as it aligns to the EPM and broader platform product roadmap
• Mentor senior engineers and architects, raising the technical bar across the organization

What You’ll Bring

• 10+ years of experience delivering and supporting enterprise-ready cloud-based systems, with at least 3+ years in a Principal, Staff, or Architect-level role
• Deep expertise with at least one major public cloud (AWS, Azure, or GCP) and working familiarity with others
• Hands-on experience architecting big data and analytics platforms, including ingestion, schema design, partitioning, and query performance tuning across technologies such as Elastic, ClickHouse, Databricks, or similar
• Microservices and cloud-native design patterns, including containerization and orchestration (Docker, Kubernetes)
• Solid understanding of modern design patterns and practices such as Infrastructure as Code (Terraform) and CI/CD
• Competency in a core programming language
• Demonstrated experience leading architecture for SaaS platforms at meaningful scale
• Experience with the full lifecycle of development and product release in an agile environment
• You can move fluently between architectural diagrams and a code review
• Strong ability to communicate well with all aspects of the business, from individual engineers to executive stakeholders

Nice To Have

• Event streaming platforms (Kafka) and stream processing (Flink, Spark Streaming)
• Service mesh technologies (Istio) and continuous delivery tooling (ArgoCD)
• Experience designing security and compliance in regulated environments (SOC 2, FedRAMP, ISO 27001)
• Prior experience in privileged access, endpoint security, or the broader cybersecurity domain

Better Together

Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected.

We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together, we are stronger together.

About Us

BeyondTrust is the global identity security leader protecting Paths to Privilege™. Our identity-centric approach goes beyond securing privileges and access, empowering organizations with the most effective solution to manage the entire identity attack surface and neutralize threats, whether from external attacks or insiders.

BeyondTrust is leading the charge in transforming identity security to prevent breaches and limit the blast radius of attacks, while creating a superior customer experience and operational efficiencies. We are trusted by 20,000 customers, including 75 of the Fortune 100, and our global ecosystem of partners.

Learn more at www.beyondtrust.com. 

#LI-DF1

Overview

Instacart’s Data Infrastructure organization builds and operates the systems that power our company’s data ecosystem, including a modern open data lakehouse on Apache Iceberg, a multi-engine compute platform for stream and analytical workloads, and self-serve tooling that helps Product, Data Science, ML, Ads, Finance, and engineering teams move fast with data.

We’re looking for a Staff Software Engineer, Data Infrastructure to join our Data Governance and Foundations Team. In this role, you’ll serve as a senior technical leader owning the architecture and delivery of our open lakehouse foundation, governance and access patterns, and multi-engine compute strategy—balancing today’s reliability with the next three to five years of scale, maturity, and cost efficiency.

You’ll collaborate closely with engineering leadership and stakeholders across Data Science, ML Platform, Ads Infrastructure, Finance Engineering, Product Engineering, and Security. You’ll operate with a high degree of ownership in a fast-paced environment where architectural decisions have real technical and financial consequences. If you thrive on complex, high-scale challenges and roll-up-your-sleeves execution, this is a chance to shape the backbone of Instacart’s data platform.

Our stack includes technologies such as Apache Iceberg, Apache Flink, Trino, ClickHouse, Apache Kafka, Apache Spark, Snowflake, Databricks, Confluent, Airflow, dbt, Delta Lake, Scala, Python, Postgres, and AWS. You’ll join a focused team of 7 engineers that values pragmatism, clarity, and impact.

About the Job

• Translate Instacart’s data strategy (e.g., monetization, federated access, real-time) into an actionable multi-year architecture roadmap; align with leadership while evolving the platform for scale, maturity, and cost efficiency.
• Own the open lakehouse foundation: define and deliver unified table formats, storage governance, and a multi-engine compute portfolio (interactive, batch, streaming) that enables portability and prevents lock-in.
• Drive real-time and streaming infrastructure for critical use cases (Ads, Fraud, ML): set deployment patterns, SLAs, and operational practices that balance performance, availability, and spend.
• Pioneer AI-native data infrastructure engineering by applying LLM/AI tools to the platform lifecycle—accelerating development, automation, observability, and cost optimization—and partnering to embed AI-powered capabilities into the platform.
• Elevate engineering excellence: lead architecture reviews, mentor senior/staff engineers, influence hiring, and clearly communicate complex trade-offs to both technical and executive audiences to ensure cross-org alignment.

About You

Minimum Qualifications

• 5+ years of software engineering experience building and operating data infrastructure or distributed systems at production scale.
• Hands-on expertise with modern data lakehouse architectures and open table formats (e.g., Apache Iceberg, Delta Lake, Hudi) and with distributed query/compute engines (e.g., Trino, Spark, ClickHouse), including performance tuning and production reliability.
• Experience with event-driven and streaming infrastructure (e.g., Kafka, Flink) for real-time pipelines and serving systems.
• Proven ownership of major platform transitions or migrations (build vs. buy, migration design, risk management) delivered to production.
• Ability to build cost/benefit and TCO models for infrastructure investments and to drive alignment via clear architecture docs and strategy memos across multiple teams and leadership levels.

Preferred Qualifications

• Experience designing platform-level governance controls and familiarity with compliance frameworks (e.g., SOX, CPRA, GDPR).
• FinOps experience optimizing data platform spend, including managing multi-million dollar infrastructure budgets and negotiating vendor contracts.
• Deep SQL proficiency and strong skills in Python or Scala for systems-level development.
• Experience with orchestration (e.g., Apache Airflow) and data transformation pipelines (e.g., dbt) in large-scale production environments.
• Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.

#LI-Remote

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.

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

Role Description

This is a high-impact corporate finance role with direct exposure to senior leadership and company-wide decision-making. The role sits at the center of Dropbox’s corporate finance function, offering a unique, end-to-end view of the P&L and a cross-company perspective on how the business operates across revenue and expense.

Operating as a generalist, you will contribute to and help operationalize topline forecasting in close partnership with revenue finance leadership, support expense planning and consolidation, and synthesize trends across the company—translating business signals into decision-ready forecasts and insights for senior leadership.

You will partner closely with FP&A partner teams, Data Systems, and Data Science to improve how performance is modeled, interpreted, and communicated, with the goal of providing leadership with earlier visibility into trends, risks, and tradeoffs. This role focuses on connecting and interpreting signals across the full P&L, ensuring forecasts translate into clear, actionable insights for decision-making.

Over time, the role expands into deeper strategic exposure, with increasing influence on corporate planning, investment tradeoffs, and executive-level communication.

Responsibilities

• Drive key aspects of integrated planning and forecasting across revenue and expense, including planning cadence, key assumptions, and executive narrative.
• Partner closely with business teams to understand performance drivers, challenge assumptions, and align on a shared view of what is changing in the business and why.
• Improve forecast quality by identifying gaps between modeled outputs and business reality, particularly in situations with incomplete or conflicting data.
• Surface and frame key tradeoffs, risks, and uncertainties to support decision-making, especially when data is inconclusive or evolving.
• Partner with Investor Relations and LRP teams to ensure alignment between internal forecasts, long-range planning, and external messaging.
• Help create and continuously uplevel corporate materials, ensuring clear, consistent, and decision-oriented communication.
• Collaborate across Data Science, Accounting, Treasury/Tax, and FP&A to ensure data accuracy, consistency, and a cohesive view of performance across the CFO organization.

Requirements

• At least 5+ years of experience in FP&A, corporate finance, or a related field.
• Strong analytical and financial modeling skills, with experience working on complex, multi-driver models.
• Ability to interpret data and translate it into clear, decision-oriented insights for stakeholders.
• Experience partnering with cross-functional teams to understand business performance and drivers.
• Ability to explain variances, challenge assumptions, and reconcile differences between data, models, and business performance, including forming a clear point of view when they diverge.
• Comfort making judgment calls and forming perspectives in the absence of perfect or complete data.
• Strong communication skills, including experience contributing to executive-level materials.
• Comfort working in ambiguity and bringing structure to evolving processes and datasets.
• Proven ability to operate independently on high-visibility workstreams.

Role Description

This is a high-impact corporate finance role with direct exposure to senior leadership and company-wide decision-making. The role sits at the center of Dropbox’s corporate finance function, offering a unique, end-to-end view of the P&L and a cross-company perspective on how the business operates across revenue and expense.

Operating as a generalist, you will contribute to and help operationalize topline forecasting in close partnership with revenue finance leadership, support expense planning and consolidation, and synthesize trends across the company—translating business signals into decision-ready forecasts and insights for senior leadership.

You will partner closely with FP&A partner teams, Data Systems, and Data Science to improve how performance is modeled, interpreted, and communicated, with the goal of providing leadership with earlier visibility into trends, risks, and tradeoffs. This role focuses on connecting and interpreting signals across the full P&L, ensuring forecasts translate into clear, actionable insights for decision-making.

Over time, the role expands into deeper strategic exposure, with increasing influence on corporate planning, investment tradeoffs, and executive-level communication.

Responsibilities

• Drive key aspects of integrated planning and forecasting across revenue and expense, including planning cadence, key assumptions, and executive narrative.
• Partner closely with business teams to understand performance drivers, challenge assumptions, and align on a shared view of what is changing in the business and why.
• Improve forecast quality by identifying gaps between modeled outputs and business reality, particularly in situations with incomplete or conflicting data.
• Surface and frame key tradeoffs, risks, and uncertainties to support decision-making, especially when data is inconclusive or evolving.
• Partner with Investor Relations and LRP teams to ensure alignment between internal forecasts, long-range planning, and external messaging.
• Help create and continuously uplevel corporate materials, ensuring clear, consistent, and decision-oriented communication.
• Collaborate across Data Science, Accounting, Treasury/Tax, and FP&A to ensure data accuracy, consistency, and a cohesive view of performance across the CFO organization.

Requirements

• At least 5+ years of experience in FP&A, corporate finance, or a related field.
• Strong analytical and financial modeling skills, with experience working on complex, multi-driver models.
• Ability to interpret data and translate it into clear, decision-oriented insights for stakeholders.
• Experience partnering with cross-functional teams to understand business performance and drivers.
• Ability to explain variances, challenge assumptions, and reconcile differences between data, models, and business performance, including forming a clear point of view when they diverge.
• Comfort making judgment calls and forming perspectives in the absence of perfect or complete data.
• Strong communication skills, including experience contributing to executive-level materials.
• Comfort working in ambiguity and bringing structure to evolving processes and datasets.
• Proven ability to operate independently on high-visibility workstreams.

Role Description

Dropbox is seeking an experienced Senior Analyst to drive forecasting, analysis, and strategic insights across revenue-related metrics. This role sits within Corporate Finance and partners closely with Revenue FP&A and cross-functional stakeholders to deliver a unified, high-quality view of business performance and outlook.

This is a highly dynamic role with significant ownership over complex, high-impact areas. The ideal candidate will drive forecast rigor, improve processes, and influence decision-making across Finance and business leadership.

Responsibilities

• Own forecasting across revenue-related metrics, including billings, revenue, NNPU, ARPU, merchant fees, and contra revenue items, leveraging NNARR and upstream inputs and maintaining methodologies that translate bookings into revenue (cohorting, ramp, retention, and revenue recognition timing)
• Support guidance and executive communication by partnering with Investor Relations and Corporate Finance leadership, developing forecasts and scenarios, and translating analyses into clear narratives for senior stakeholders
• Drive insight and decision support by analyzing key drivers across billings and revenue metrics to identify risks and opportunities and providing a centralized financial perspective for strategic decisions and investment trade-offs
• Partner across Finance and business teams, aligning with Revenue FP&A and collaborating with Accounting, Tax, Treasury, LRP, Corporate FP&A, Finance Systems, and business teams to ensure consistency in assumptions, reporting, and financial narratives
• Improve forecasting processes and systems by driving initiatives that enhance accuracy, scalability, and efficiency and partnering with Analytics, Business Platform, and IT to improve data quality and tooling
• Contribute to Finance excellence by ensuring consistency in forecasting methodologies and elevating analytical rigor and standards across the organization

Requirements

• At least 8+ years of experience in FP&A or Corporate Finance, with a focus on forecasting and revenue-related metrics
• Deep experience with SaaS models and operating metrics, including how NNARR informs billings and revenue
• Strong understanding of revenue mechanics, including revenue waterfall, deferred revenue, merchant fees, contra revenue, and revenue recognition timing
• Advanced Excel and modeling skills; experience with BI and data tools (e.g., Tableau, Databricks, Oracle Financials)
• Proven ability to independently own complex forecasting areas and ambiguous, high-impact projects
• Strong communication, storytelling, and cross-functional influence skills

Role Description

Dropbox is seeking an experienced Senior Analyst  to drive forecasting, analysis, and strategic insights across revenue-related metrics. This role sits within Corporate Finance and partners closely with Revenue FP&A and cross-functional stakeholders to deliver a unified, high-quality view of business performance and outlook.

This is a highly dynamic role with significant ownership over complex, high-impact areas. The ideal candidate will drive forecast rigor, improve processes, and influence decision-making across Finance and business leadership.

Responsibilities

• Own forecasting across revenue-related metrics, including billings, revenue, NNPU, ARPU, merchant fees, and contra revenue items, leveraging NNARR and upstream inputs and maintaining methodologies that translate bookings into revenue (cohorting, ramp, retention, and revenue recognition timing)
• Support guidance and executive communication by partnering with Investor Relations and Corporate Finance leadership, developing forecasts and scenarios, and translating analyses into clear narratives for senior stakeholders
• Drive insight and decision support by analyzing key drivers across billings and revenue metrics to identify risks and opportunities and providing a centralized financial perspective for strategic decisions and investment trade-offs
• Partner across Finance and business teams, aligning with Revenue FP&A and collaborating with Accounting, Tax, Treasury, LRP, Corporate FP&A, Finance Systems, and business teams to ensure consistency in assumptions, reporting, and financial narratives
• Improve forecasting processes and systems by driving initiatives that enhance accuracy, scalability, and efficiency and partnering with Analytics, Business Platform, and IT to improve data quality and tooling
• Contribute to Finance excellence by ensuring consistency in forecasting methodologies and elevating analytical rigor and standards across the organization

Requirements

• At least 8+ years of experience in FP&A or Corporate Finance, with a focus on forecasting and revenue-related metrics
• Deep experience with SaaS models and operating metrics, including how NNARR informs billings and revenue
• Strong understanding of revenue mechanics, including revenue waterfall, deferred revenue, merchant fees, contra revenue, and revenue recognition timing
• Advanced Excel and modeling skills; experience with BI and data tools (e.g., Tableau, Databricks, Oracle Financials)
• Proven ability to independently own complex forecasting areas and ambiguous, high-impact projects
• Strong communication, storytelling, and cross-functional influence skills

Role Description

​​GTM TechOps owns the systems, data, and automation that power the full customer lifecycle, from first touch through renewal and expansion. This role sits at the center of that ecosystem.​

​​As a Technical Architect, you will define how our GTM platforms work together in practice. That means translating business strategy and process into scalable system design across Salesforce, marketing automation, customer success, support platforms, and our broader data and AI stack.​

​​This is not a pure “draw the diagram” architecture role. You will work directly with engineering, product, operations, and data teams to ensure what we design is actually buildable, adopted, and durable. You’ll help us move faster with fewer handoffs, while keeping a high bar for data quality, system integrity, and long-term maintainability.

Responsibilities

• Define how systems connect across the full lifecycle (lead → opportunity → close → onboarding → adoption → renewal → expansion).
• Structure solutions around core business capabilities to reduce fragmentation and improve reuse.
• Ensure clean handoffs, consistent data models, and scalable automation across domains.
• Lead architecture for Salesforce, marketing automation, customer success platforms, and support tooling.
• Partner with data teams to align system design with the GTM data model and downstream analytics needs.
• Define how AI is embedded into GTM workflows (agent assist, seller workflows, automation, enrichment).
• Ensure solutions are practical, governed, and integrated into core systems rather than one-off tools.
• Design reliable, scalable integrations across internal and third-party systems.
• Define how systems share data, stay in sync, and interact without conflicts.
• Set and enforce standards for system design, data quality, and technical implementation.
• Participate in cross-functional architecture reviews with Enterprise Engineering and domain architects.
• Evaluate tools and capabilities in the context of the broader ecosystem.
• Drive consolidation and simplicity where possible.
• Partner closely with engineering leads to ensure architecture translates cleanly into execution.
• Mentor engineers and program managers on system design and tradeoffs.

Requirements

• 8+ years of demonstrated success designing and delivering complex, multi-system. architectures within SaaS or comparable environments.
• Deep experience with CRM platforms (Salesforce strongly preferred) and adjacent GTM systems.
• Strong understanding of data modeling, integrations, and system design patterns.
• Experience working across Sales, Marketing, Customer Success, or Support workflows.
• Proven ability to balance speed vs. long-term scalability without over-engineering.
• Comfortable operating in a cross-functional environment with engineering, operations, and business stakeholders.

Preferred Qualifications

• Experience with AI/automation in GTM workflows (agent assist, enrichment, copilots, etc.).
• Background working in a hybrid PLG + sales-led motion.
• Familiarity with modern data stacks (Databricks, reverse ETL, event-driven architectures).
• Exposure to CPQ, billing, or commercial systems.
• Experience navigating platform consolidation or large-scale tech stack simplification.
• Prior involvement in architecture governance or cross-org design councils.

Compensation

Role Description

​​GTM TechOps owns the systems, data, and automation that power the full customer lifecycle, from first touch through renewal and expansion. This role sits at the center of that ecosystem.​

​​As a Technical Architect, you will define how our GTM platforms work together in practice. That means translating business strategy and process into scalable system design across Salesforce, marketing automation, customer success, support platforms, and our broader data and AI stack.​

​​This is not a pure “draw the diagram” architecture role. You will work directly with engineering, product, operations, and data teams to ensure what we design is actually buildable, adopted, and durable. You’ll help us move faster with fewer handoffs, while keeping a high bar for data quality, system integrity, and long-term maintainability.

Responsibilities

• Define how systems connect across the full lifecycle (lead → opportunity → close → onboarding → adoption → renewal → expansion).
• Structure solutions around core business capabilities to reduce fragmentation and improve reuse.
• Ensure clean handoffs, consistent data models, and scalable automation across domains.
• Lead architecture for Salesforce, marketing automation, customer success platforms, and support tooling.
• Partner with data teams to align system design with the GTM data model and downstream analytics needs.
• Define how AI is embedded into GTM workflows (agent assist, seller workflows, automation, enrichment).
• Ensure solutions are practical, governed, and integrated into core systems rather than one-off tools.
• Design reliable, scalable integrations across internal and third-party systems.
• Define how systems share data, stay in sync, and interact without conflicts.
• Set and enforce standards for system design, data quality, and technical implementation.
• Participate in cross-functional architecture reviews with Enterprise Engineering and domain architects.
• Evaluate tools and capabilities in the context of the broader ecosystem.
• Drive consolidation and simplicity where possible.
• Partner closely with engineering leads to ensure architecture translates cleanly into execution.
• Mentor engineers and program managers on system design and tradeoffs.

Requirements

• 8+ years of demonstrated success designing and delivering complex, multi-system. architectures within SaaS or comparable environments.
• Deep experience with CRM platforms (Salesforce strongly preferred) and adjacent GTM systems.
• Strong understanding of data modeling, integrations, and system design patterns.
• Experience working across Sales, Marketing, Customer Success, or Support workflows.
• Proven ability to balance speed vs. long-term scalability without over-engineering.
• Comfortable operating in a cross-functional environment with engineering, operations, and business stakeholders.

Preferred Qualifications

• Experience with AI/automation in GTM workflows (agent assist, enrichment, copilots, etc.).
• Background working in a hybrid PLG + sales-led motion.
• Familiarity with modern data stacks (Databricks, reverse ETL, event-driven architectures).
• Exposure to CPQ, billing, or commercial systems.
• Experience navigating platform consolidation or large-scale tech stack simplification.
• Prior involvement in architecture governance or cross-org design councils.

Compensation

Role Description

As a Customer Systems Administrator on the Customer Systems team within Dropbox's Go-To-Market organization, you will play a crucial role in platform administration, access governance, and operational reliability across the systems that power Dropbox's customer-facing operations. Day to day, you'll be configuring and maintaining platforms across the customer lifecycle, enforcing security and access control policies, and driving AI-powered tooling and automations. You'll gain direct ownership of production systems that the business relies on daily, deep cross-functional exposure to Engineering and Customer Experience and Success, access to industry-leading AI tooling, and the opportunity to shape how customer tooling scales at Dropbox.

Responsibilities

• Manage and evolve the team's portfolio of support and post-sales platforms to meet the changing needs of the Customer Experience and Customer Success organizations.
• Serve as a primary on-call responder, owning incident resolution and stakeholder communication during platform disruptions.
• Drive the adoption and integration of AI-powered tools and automations across customer platforms to improve user efficiency and customer outcomes.
• Partner with Engineering and Customer Experience and Success  to translate business needs into platform solutions.
• Identify and execute platform improvements that reduce operational friction, increase reliability, and scale with the business.
• Build and maintain the team's automation tooling and scripting infrastructure.
• Establish and maintain the documentation standards that keep the team operationally resilient, including SOPs, runbooks, and system guide.

Requirements

• 4+ years of proven experience administering enterprise support or customer platforms in a production environment.
• Proficiency with AI tools and scripting languages (e.g., Python, Bash, JavaScript), with a demonstrated comfort incorporating both into daily workflows to increase efficiency and output.
• Demonstrated experience managing multi-platform environments.
• Experience governing platform access — provisioning, role-based access control, and security policy enforcement.
• Track record of shipping platform changes through structured processes: scoping, testing, communicating, and deploying without disruption.
• Operational maturity with demonstrated experienced owning incident response, triaging escalations, and maintaining composure under pressure.
• Ability to produce and maintain clear, structured documentation — SOPs, runbooks, and system guides that are accessible to both technical and non-technical. audiences

Preferred Qualifications

• Experience administering support platforms such as Zendesk, Amazon Connect, or similar contact center and ticketing systems.
• Proven experience deploying AI tooling or automation frameworks to improve team workflows and operational efficiency.
• Working knowledge of AWS services, cloud infrastructure fundamentals, and familiarity with modern data platforms such as Databricks.
• Experience with sales platforms, supporting Sales & Customer Success operations such as Highspot, Planhat, Outreach.
• Platform admin certifications (e.g., Zendesk Admin, Salesforce Certified Admin).

Compensation

Role Description

As a Customer Systems Administrator on the Customer Systems team within Dropbox's Go-To-Market organization, you will play a crucial role in platform administration, access governance, and operational reliability across the systems that power Dropbox's customer-facing operations. Day to day, you'll be configuring and maintaining platforms across the customer lifecycle, enforcing security and access control policies, and driving AI-powered tooling and automations. You'll gain direct ownership of production systems that the business relies on daily, deep cross-functional exposure to Engineering and Customer Experience and Success, access to industry-leading AI tooling, and the opportunity to shape how customer tooling scales at Dropbox.

Responsibilities

• Manage and evolve the team's portfolio of support and post-sales platforms to meet the changing needs of the Customer Experience and Customer Success organizations.
• Serve as a primary on-call responder, owning incident resolution and stakeholder communication during platform disruptions.
• Drive the adoption and integration of AI-powered tools and automations across customer platforms to improve user efficiency and customer outcomes.
• Partner with Engineering and Customer Experience and Success  to translate business needs into platform solutions.
• Identify and execute platform improvements that reduce operational friction, increase reliability, and scale with the business.
• Build and maintain the team's automation tooling and scripting infrastructure.
• Establish and maintain the documentation standards that keep the team operationally resilient, including SOPs, runbooks, and system guide.

Requirements

• 4+ years of proven experience administering enterprise support or customer platforms in a production environment.
• Proficiency with AI tools and scripting languages (e.g., Python, Bash, JavaScript), with a demonstrated comfort incorporating both into daily workflows to increase efficiency and output.
• Demonstrated experience managing multi-platform environments.
• Experience governing platform access — provisioning, role-based access control, and security policy enforcement.
• Track record of shipping platform changes through structured processes: scoping, testing, communicating, and deploying without disruption.
• Operational maturity with demonstrated experienced owning incident response, triaging escalations, and maintaining composure under pressure.
• Ability to produce and maintain clear, structured documentation — SOPs, runbooks, and system guides that are accessible to both technical and non-technical. audiences

Preferred Qualifications

• Experience administering support platforms such as Zendesk, Amazon Connect, or similar contact center and ticketing systems.
• Proven experience deploying AI tooling or automation frameworks to improve team workflows and operational efficiency.
• Working knowledge of AWS services, cloud infrastructure fundamentals, and familiarity with modern data platforms such as Databricks.
• Experience with sales platforms, supporting Sales & Customer Success operations such as Highspot, Planhat, Outreach.
• Platform admin certifications (e.g., Zendesk Admin, Salesforce Certified Admin).

Compensation

Role Description

Responsibilities

• Help define company data assets (data model), Spark, SparkSQL jobs to populate data models
• Help define and design data integrations, data quality frameworks and design and evaluate open source/vendor tools for data lineage
• Work closely with Dropbox business units and engineering teams to develop strategy for long term Data Platform architecture to be efficient, reliable and scalable 
• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
• Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
• Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• 5+ years of Spark, Python, Java, C++, or Scala development experience
• 5+ years of SQL experience
• 5+ years of experience with schema design, dimensional data modeling, and medallion architectures
• Experience with the Databricks platform and data lake architectures for large-scale data processing and analytics
• Excellent product strategic thinking and communications to influence product and cross-functional teams by identifying the data opportunities to drive impact
• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
• Experience designing, building and maintaining data processing systems

Role Description

Responsibilities

• Help define company data assets (data model), Spark, SparkSQL jobs to populate data models
• Help define and design data integrations, data quality frameworks and design and evaluate open source/vendor tools for data lineage
• Work closely with Dropbox business units and engineering teams to develop strategy for long term Data Platform architecture to be efficient, reliable and scalable 
• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
• Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
• Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• 5+ years of Spark, Python, Java, C++, or Scala development experience
• 5+ years of SQL experience
• 5+ years of experience with schema design, dimensional data modeling, and medallion architectures
• Experience with the Databricks platform and data lake architectures for large-scale data processing and analytics
• Excellent product strategic thinking and communications to influence product and cross-functional teams by identifying the data opportunities to drive impact
• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
• Experience designing, building and maintaining data processing systems

Role Description

Dropbox is looking for a Staff Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. You will be responsible for solving cross-cutting data challenges that span multiple lines of business while driving standardization in how we build, deploy, and govern analytics pipelines across Dropbox.

This is not a maintenance role. We are modernizing our analytics platform, upgrading orchestration infrastructure, building shared and reusable data models with conformed dimensions, establishing a certified metrics framework, and laying the foundation for AI-native data development. You will partner closely with Data Science, Data Infrastructure, Product Engineering, and Business Intelligence teams to make this happen.

You will play a crucial role in establishing analytics engineering standards, designing scalable data models, and driving cross-functional alignment on data governance. You will get substantial exposure to senior leadership, shape the technical direction of analytics infrastructure at Dropbox, and directly influence how data powers product and business decisions.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• Lead the design and implementation of shared, reusable data models, defining shared fact tables, conformed dimensions, and a semantic/metrics layer that serves as the single source of truth across analytics functions
• Drive standardization of data engineering practices across ADE and functional analytics teams, including pipeline patterns, CI/CD workflows, naming conventions, and data modeling standards
• Partner with Data Infrastructure to modernize orchestration, improve pipeline decomposition, and establish secure dev/test environments with production data access
• Architect and implement a shift-left data governance strategy,  working with upstream data producers to establish data contracts, SLOs, and code-enforced quality gates that catch issues before production
• Collaborate with Data Science leads and Product Management to translate metric definitions into reliable, certified data pipelines that power executive dashboards, WBR reporting, and growth measurement
• Reduce operational burden by improving pipeline granularity, observability, and failure recovery, establishing runbooks and alerting standards that make on-call sustainable
• Evaluate and integrate AI-native tooling into the data development lifecycle, enabling conversational data exploration with guardrails and AI-assisted pipeline development

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• BS degree in Computer Science or related technical field, or equivalent technical experience
• 12+ years of experience in data engineering or analytics engineering with increasing scope and technical leadership
• 12+ years of SQL experience, including complex analytical queries, window functions, and performance optimization at scale (Spark SQL)
• 8+ years of Python development experience, including building and maintaining production data pipelines
• Deep expertise in dimensional data modeling, schema design, and scalable data architecture, with hands-on experience building shared data models across multiple business domains
• Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns
• Demonstrated ability to drive cross-team technical alignment, establishing standards, influencing without authority, and working across Data Engineering, Data Science, Data Infrastructure, and Product Engineering boundaries

Preferred Qualifications

• Experience with Databricks (Unity Catalog, Delta Lake) and modern lakehouse architectures
• Experience leading orchestration or platform modernization efforts at scale
• Familiarity with data governance and observability tools such as Atlan, Monte Carlo, Great Expectations, or similar
• Experience building or contributing to a metrics/semantic layer (dbt MetricFlow, Databricks Metric Views, or equivalent)
• Track record of establishing data engineering standards and best practices in a federated analytics organization

Compensation

Role Description

Dropbox is looking for a Staff Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. You will be responsible for solving cross-cutting data challenges that span multiple lines of business while driving standardization in how we build, deploy, and govern analytics pipelines across Dropbox.

This is not a maintenance role. We are modernizing our analytics platform, upgrading orchestration infrastructure, building shared and reusable data models with conformed dimensions, establishing a certified metrics framework, and laying the foundation for AI-native data development. You will partner closely with Data Science, Data Infrastructure, Product Engineering, and Business Intelligence teams to make this happen.

You will play a crucial role in establishing analytics engineering standards, designing scalable data models, and driving cross-functional alignment on data governance. You will get substantial exposure to senior leadership, shape the technical direction of analytics infrastructure at Dropbox, and directly influence how data powers product and business decisions.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• Lead the design and implementation of shared, reusable data models, defining shared fact tables, conformed dimensions, and a semantic/metrics layer that serves as the single source of truth across analytics functions
• Drive standardization of data engineering practices across ADE and functional analytics teams, including pipeline patterns, CI/CD workflows, naming conventions, and data modeling standards
• Partner with Data Infrastructure to modernize orchestration, improve pipeline decomposition, and establish secure dev/test environments with production data access
• Architect and implement a shift-left data governance strategy,  working with upstream data producers to establish data contracts, SLOs, and code-enforced quality gates that catch issues before production
• Collaborate with Data Science leads and Product Management to translate metric definitions into reliable, certified data pipelines that power executive dashboards, WBR reporting, and growth measurement
• Reduce operational burden by improving pipeline granularity, observability, and failure recovery, establishing runbooks and alerting standards that make on-call sustainable
• Evaluate and integrate AI-native tooling into the data development lifecycle, enabling conversational data exploration with guardrails and AI-assisted pipeline development

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• BS degree in Computer Science or related technical field, or equivalent technical experience
• 12+ years of experience in data engineering or analytics engineering with increasing scope and technical leadership
• 12+ years of SQL experience, including complex analytical queries, window functions, and performance optimization at scale (Spark SQL)
• 8+ years of Python development experience, including building and maintaining production data pipelines
• Deep expertise in dimensional data modeling, schema design, and scalable data architecture, with hands-on experience building shared data models across multiple business domains
• Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns
• Demonstrated ability to drive cross-team technical alignment, establishing standards, influencing without authority, and working across Data Engineering, Data Science, Data Infrastructure, and Product Engineering boundaries

Preferred Qualifications

• Experience with Databricks (Unity Catalog, Delta Lake) and modern lakehouse architectures
• Experience leading orchestration or platform modernization efforts at scale
• Familiarity with data governance and observability tools such as Atlan, Monte Carlo, Great Expectations, or similar
• Experience building or contributing to a metrics/semantic layer (dbt MetricFlow, Databricks Metric Views, or equivalent)
• Track record of establishing data engineering standards and best practices in a federated analytics organization

Compensation

Role Description

The Dash Experiences organization at Dropbox is responsible for shaping core user experiences across web, mobile, desktop, and emerging AI-powered surfaces. We’re looking for a Full Stack Software Engineer to join the Dash Experiences team and help build new, AI-first product experiences.

In this role, you will work on application design, development, and maintenance of AI-powered software applications within the Dropbox Dash product ecosystem. You’ll collaborate closely with cross-functional partners including product managers, data scientists, and ML engineers to build robust, scalable solutions that power user-facing experiences.

This is a 0→1 product environment, where you’ll contribute across the stack—from building frontend experiences in React to developing APIs and connecting backend systems. You’ll have the opportunity to learn, grow, and make meaningful product impact while working alongside experienced engineers in a highly collaborative setting.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• Collaborate with product managers and stakeholders to understand business requirements and translate them into technical specifications for AI-powered software applications.
• Work closely with ML engineers to integrate AI components seamlessly into the overall software product architecture.
• Develop responsive and performant frontend applications using modern web technologies such as HTML, CSS, Typescript, and frameworks like React.
• Implement interactive user interfaces that effectively communicate complex AI functionalities and data insights to end-users.
• Work closely with UX/UI designers to ensure seamless integration of design elements, branding, and usability principles into the frontend development process.
• Collaborate with backend engineers to integrate frontend components with server-side logic and APIs, ensuring optimal performance and data flow.
• Optimize frontend performance to deliver fast and efficient user experiences, considering factors such as page load times, rendering speed, and responsiveness.
• Stay up to date with the latest trends and advancements in frontend development, UI/UX design, and AI technologies, bringing innovative ideas and best practices to the team.
• Participate in code reviews, knowledge sharing sessions, and provide mentorship to junior team members, fostering a collaborative and growth-oriented culture.

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 5+ years of professional software engineering experience, including internships, co-ops, or equivalent project work.
• Experience building web applications using TypeScript and React.
• Ability to make data-driven decisions, using tools like Databricks.
• Familiarity with backend development concepts such as APIs and server-side logic.
• Ability to work across the stack and connect frontend applications to backend systems.
• Strong problem-solving skills and eagerness to learn.
• Clear communication skills and ability to collaborate with cross-functional partners.

Preferred Qualifications

• Experience with Python, Golang, or other backend languages.
• Familiarity with large-scale web platforms, microservice architecture and architecture patterns for large-scale code bases.
• Interest in AI-powered or data-driven product experiences.
• Comfortable working in early-stage or ambiguous product environments.
• Proactive mindset with curiosity about improving products and processes.

Role Description

The Dash Experiences organization at Dropbox is responsible for shaping core user experiences across web, mobile, desktop, and emerging AI-powered surfaces. We’re looking for a Full Stack Software Engineer to join the Dash Experiences team and help build new, AI-first product experiences.

In this role, you will work on application design, development, and maintenance of AI-powered software applications within the Dropbox Dash product ecosystem. You’ll collaborate closely with cross-functional partners including product managers, data scientists, and ML engineers to build robust, scalable solutions that power user-facing experiences.

This is a 0→1 product environment, where you’ll contribute across the stack—from building frontend experiences in React to developing APIs and connecting backend systems. You’ll have the opportunity to learn, grow, and make meaningful product impact while working alongside experienced engineers in a highly collaborative setting.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• Collaborate with product managers and stakeholders to understand business requirements and translate them into technical specifications for AI-powered software applications.
• Work closely with ML engineers to integrate AI components seamlessly into the overall software product architecture.
• Develop responsive and performant frontend applications using modern web technologies such as HTML, CSS, Typescript, and frameworks like React.
• Implement interactive user interfaces that effectively communicate complex AI functionalities and data insights to end-users.
• Work closely with UX/UI designers to ensure seamless integration of design elements, branding, and usability principles into the frontend development process.
• Collaborate with backend engineers to integrate frontend components with server-side logic and APIs, ensuring optimal performance and data flow.
• Optimize frontend performance to deliver fast and efficient user experiences, considering factors such as page load times, rendering speed, and responsiveness.
• Stay up to date with the latest trends and advancements in frontend development, UI/UX design, and AI technologies, bringing innovative ideas and best practices to the team.
• Participate in code reviews, knowledge sharing sessions, and provide mentorship to junior team members, fostering a collaborative and growth-oriented culture.

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 5+ years of professional software engineering experience, including internships, co-ops, or equivalent project work.
• Experience building web applications using TypeScript and React.
• Ability to make data-driven decisions, using tools like Databricks.
• Familiarity with backend development concepts such as APIs and server-side logic.
• Ability to work across the stack and connect frontend applications to backend systems.
• Strong problem-solving skills and eagerness to learn.
• Clear communication skills and ability to collaborate with cross-functional partners.

Preferred Qualifications

• Experience with Python, Golang, or other backend languages.
• Familiarity with large-scale web platforms, microservice architecture and architecture patterns for large-scale code bases.
• Interest in AI-powered or data-driven product experiences.
• Comfortable working in early-stage or ambiguous product environments.
• Proactive mindset with curiosity about improving products and processes.

Compensation

Vous souhaitez vous épanouir dans un environnement de travail stimulant ? Joignez-vous au leader en transformation numérique et boostez votre carrière chez Levio. Nous vous proposons une opportunité unique de développer votre savoir-faire au sein d’une équipe de haut calibre.  

La variété des défis proposés par nos clients vous donnera l’occasion de vous dépasser et de maintenir votre expertise au top. Partagez le quotidien de nos clients et soyez un acteur important dans les projets les plus ambitieux en matière de technologies et de solutions logicielles.  

DESCRIPTION DU POSTE :  

Nous sommes à la recherche d'un.e Conseiller.ère en architecture d'intelligence d'affaires pour différents projets d'envergure. Un architecte en intelligence d’affaires joue un rôle crucial dans la conception et la mise en place de solutions informatiques pour aider les entreprises à prendre des décisions stratégiques. Il collabore avec les équipes techniques et métiers pour comprendre les besoins en données de l’entreprise et développer des systèmes pour collecter, stocker, analyser et visualiser ces données. Il est responsable de l’architecture des entrepôts de données, des outils ETL et des plateformes de visualisation, tout en veillant à la sécurité et à la conformité des données. 

RÔLE ET RESPONSABILITÉS :  

• Superviser les technologies de l’information et influencer l’architecture cible de l’entreprise
• Guider les choix technologiques dans des dossiers stratégiques
• Mettre en place le cadre de modélisation des données (processus, rôles, outils)
• Modéliser et documenter les couches de l’entrepôt de données
• Assurer la qualité et la gestion des données, en respectant le cadre de gouvernance établi
• Participer à la production et à la validation des livrables en intelligence d’affaires. 

COMPÉTENCES ESSENTIELLES 

• Capacité à communiquer et de présenter efficacement les enjeux et les solutions avec les parties prenantes 
• Expérience pratique avec les entrepôts de données et les concepts d’intelligence d’affaires  
• Expérience en gestion de projets et être en mesure d’exercer un leadership reconnu tant à l’externe qu’à l’interne dans le domaine du BI, et agir comme coach auprès des équipes de développement  

QUALIFICATIONS ET EXPÉRIENCE :   

• Baccalauréat en informatique, en génie logiciel, ou dans une discipline appropriée enrichi d’un programme spécifique en intelligence d’affaires 
• 7 années d'expérience dans un rôle similaire
• Détenir des compétences sur plusieurs technologies courantes du domaine: SSIS, Power BI, Talend, Datastage, Databricks, Collibra, Enterprise Architect, Microsoft EPM, JIRA, Confluence, MS Office
• Connaissance de l’architecture moderne des données. Maitrise au minimum un des écosystèmes de données infonuagiques suivants :
  • Microsoft Azure: Fabric, Data Factory, Synapse Analytics, Power BI, et Azure Data Lake
  • Amazon Web Services (AWS) : Amazon Redshift, QuickSight, et AWS Glue  
  • Snowflake
  • IBM Cloud :  IBM Cognos Analytics et IBM Db2 Warehouse
  • Connaissance des bases de données, langages SQL, procédures/fonctions stockées

AVANTAGES SOCIAUX :  

Levio offre plusieurs avantages dans le but d’offrir la plus grande flexibilité possible à ses employés! En plus d’offrir un environnement de travail stimulant et dynamique, nous offrons entre autres :  

• 4 semaines de vacances cumulables dès l’embauche
• Horaires flexibles
• Une allocation de développement professionnel (ADP) utilisable pour des formations, de l’équipement informatique et des activités physiques 
• Formations adaptées à vos domaines d’expertise
• Régime Enregistré d’Épargne Retraite (REER) avec contribution employeur jusqu’à un maximum de 3% de votre salaire brut.
• Des assurances collectives modulables
• Le transport en commun ou le stationnement est remboursé lorsque requis 
• Des primes au référencement de nouveaux candidats
• 11 congés féries 
• Des congés personnels
• Une vie sociale active (5 à 7, club social, cafés et collations santé, etc.)

Statut du poste : Temps plein, permanent 

Levio souscrit au principe d'équité en emploi et applique un programme d'accès à l'égalité en emploi pour les femmes, les autochtones, les minorités visibles, les minorités ethniques et les personnes en situation d’handicap. 

Levio valorise la diversité et de l’inclusion et vise à créer un milieu de travail sain, accessible et gratifiant qui met en valeur la contribution unique de nos employés au succès de notre entreprise. En tant qu'employeur qui s'engage à respecter l'équité en matière d'emploi, nous encourageons les candidatures les plus diverses. Des accommodements sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection. 

Le genre masculin est utilisé sans aucune discrimination et dans le seul but d’alléger le présent texte.  

About the role:

Do you get excited about creating high-impact AI applications that employees rely on every day?

Samsara’s Integrations, Data Engineering, and AI (IDEA) team is a key part of Samsara’s Business Technology organization, driving innovation through data and AI. Our mission is to empower and enable everyone at Samsara with AI-powered tools and capabilities so they can get their work done more effectively. We bridge technology, innovation, and business needs to infuse AI-powered solutions into our organization.

We are looking for a hands-on AI platform Engineer to build, ship, and scale Samsara’s Enterprise AI platform that provides end-to-end capabilities for AI agents to be deployed, managed , governed etc. As a Senior AI Platform Engineer , you’ll own the full lifecycle of AI-powered systems — from initial design and prototyping to production deployment, monitoring, and iteration. You will collaborate with architects, engineers, and cross-functional stakeholders across Samsara to brainstorm, design, rapidly prototype, and productionalize AI-driven features and capabilities that integrate deeply into real business workflows.

This role is 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, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment, and mastery of your craft in a hyper-growth environment.
• You are energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together, and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best.

In this role, you will:

• Build, and own end-to-end Data & AI platform (Databricks,AWS or other tech stack) from ideation , prototyping , production deployment and monitoring.
• Architect and scale company-wide GenAI capabilities to support domain-specific business AI Agents that are embedded into real operational workflows.
• Provide documentation and support to business users to deploy and manage AI agents at scale.
• Lead platform investments in areas like RAG infrastructure, embedding pipelines, LLM orchestration, and multi-modal data processing.
• Serve as a technical anchor and mentor for the broader AI & Data team, raising the engineering bar across the organization.
• Design and integrate AI solutions with internal systems and third-party platforms, including SaaS tools, APIs, data platforms, and enterprise systems.
• Develop and launch AI-powered solutions to improve efficiency and personalization across business functions such as Customer Support, People/HR, Legal, and Finance.
• Collaborate closely with top-tier engineers, data scientists, and business users in a fast-moving environment.
• Apply and scale software engineering excellence, including reliability, observability, and maintainability of production data & AI systems.

Minimum Requirements for the role:

• Bachelor’s or Master’s degree in Computer Science or related Engineering discipline.
• 10+ years of industry experience in software engineering or data platform development, including:
• 3+ years of experience owning the development, testing, deployment, monitoring, and support of web applications and backend APIs.
• 0-1+ year of experience building and deploying production-ready Generative AI solutions, with responsibility for reliability and performance.
• 1+ year of experience in administering AWS platform.
• Strong expertise in Python and AI/ML fundamentals, particularly Generative AI solutions (e.g., LLMs, vector databases, prompt engineering, embeddings, RAG systems).
• Experience with AI agent development frameworks and tooling (e.g., LangChain, LangGraph, CrewAI, LlamaIndex, OpenAI SDK, MCP, A2A).

An ideal candidate is:

• Experienced in 0→1 MVP development, iterative prototyping, and evolving prototypes into production-grade systems.
• Passionate about staying up to date with industry news, AI development trends, tools, and best practices.
• Knowledgeable about SDLC best practices and actively experiments with and adopts modern AI development tools and patterns.
• An excellent communicator with the ability to work effectively in cross-functional settings and translate business needs into technical solutions.

Overview

The Commercial Strategy & Acceleration (CSX) team empowers Instacart’s commercial organizations with domain expertise to drive innovation, cohesive strategy, and agile execution at scale—catalyzing our partners’ success across retailers, brands, and agencies.

We are seeking a Senior Director of Media Analytics to lead a high-impact organization of approximately 30 analytics professionals focused on Instacart Ads. You will set the vision, strategy, and operating model for how measurement, experimentation, and insights drive advertiser outcomes and unlock incremental investment. In close partnership with Brand Partnerships, Ads R&D, Product, Data Science, and our CPG customers—as well as key industry bodies—you will deliver rigorous, trusted analytics that guide decisions for some of the world’s largest brands.

This role is ideal for a hands-on leader who thrives in a fast-paced, constantly evolving environment and enjoys working cross-functionally to solve complex problems at scale. New York is preferred, with flexibility for qualified candidates across the U.S.; periodic travel to New York City, client offices, and industry events is expected.

About the Job

• Own the end-to-end media analytics strategy and roadmap for Instacart Ads, establishing trusted measurement standards that quantify incrementality, optimize performance, and inform advertiser investment decisions.
• Lead, develop, and scale a ~30-person team (including managers and senior ICs) across client analytics, measurement science, experimentation, and commercialization; attract top talent and foster an inclusive, high-performing culture.
• Build and standardize frameworks for causal inference, geo and audience experiments, MMM, attribution, creative effectiveness, and audience insights; partner with Ads R&D and Data Science to productionize models and reporting at scale.
• Collaborate with Brand Partnerships and Sales to deliver compelling, client-ready narratives that translate complex analytics into clear business impact, driving increased advertiser investment.
• Establish data governance, quality, and privacy-safe measurement practices; represent Instacart with industry bodies to advance retail media standards and third-party interoperability.
• Define and manage OKRs, operating cadences, resourcing, and prioritization across a portfolio of analytics initiatives, focusing the team on the highest-impact work.
• Lead third‑party measurement partnerships (e.g., MMM providers, clean rooms) and integrate them with Instacart’s first‑party capabilities to deliver holistic, actionable insights.

About You

Minimum Qualifications

• 12+ years of experience in media analytics, marketing science, or ad measurement within digital advertising or retail media.
• 7+ years leading analytics teams of 15+ (including managers of managers), with a track record of hiring, developing, and retaining diverse, high-performing talent.
• Expertise in incrementality testing and causal inference, experimental design, MMM, and attribution, with programs deployed at enterprise scale.
• Advanced SQL and proficiency in Python or R; demonstrated ability to review methodologies, validate models, and uphold analytic rigor.
• Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Computer Science, Engineering) and proven experience influencing C‑suite stakeholders at large advertisers (e.g., CPGs) to drive investment decisions.

Preferred Qualifications

• Graduate degree (MS, MBA, or PhD) in statistics, econometrics, data science, or a related quantitative discipline.
• Experience at a retail media network, major ad platform, or enterprise CPG/agency leading large-scale analytics and measurement programs.
• Hands-on experience with privacy-safe measurement and clean rooms (e.g., AWS Clean Rooms, Snowflake, Databricks, LiveRamp Safe Haven) and identity solutions.
• Proven success evaluating and integrating third-party MMM/attribution providers (e.g., Analytic Partners, Nielsen, Neustar) and reconciling with first-party signals.
• Engagement with industry bodies (e.g., IAB, ARF, MMA) and recognized thought leadership through standards work, publications, or conference speaking.

#LI-Remote

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

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

About the role:

Are you passionate about turning complex, unstructured data into compelling stories that shape product strategy? Do you thrive on transforming raw data into interactive visualizations, models, and insights that drive business decisions?

We are looking for a Senior Marketing Analytics Manager - Product and Data Stories to join our Marketing Analytics team. In this role, you will work closely with our Sales, Marketing and Product teams to unlock the value of rich, unstructured product and operational data — transforming it into dashboards, analyses, and interactive data experiences that inform product decisions and tell meaningful stories about how our customers use Samsara’s platform in the real world.

This is a great opportunity for an analyst who is hands-on with SQL, comfortable wrangling messy or unstructured datasets, and excited about data storytelling through creative visualization. If you’re energized by the challenge of making sense of complex data and communicating it in ways that resonate, we’d love to hear from you.

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, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. 

In this role, you will: 

• Partner with marketing teams to identify data needs and translate them into structured analysis, dashboards, and interactive data stories using product and operational data.
• Transform unstructured and complex product datasets into clean, analysis-ready models through data transformation and preparation pipelines.
• Develop dashboards and analyses to surface business-critical KPIs and assess sales and marketing performance.
• Perform ad-hoc reporting and deep dives to uncover key insights across programs and initiatives to inform strategy and decision making. 
• Communicate insights using data visualizations and presentations to a range of stakeholders.
• Closely partner with Sales and Marketing teams as an advisor - ensure they understand the performance of their efforts and have actionable recommendations.
• 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 and across new offices.
• Partner with the Data Stories team to support positioning Samsara as a business leader through the creation of a data stories hub 

Minimum requirements for the role:

• Bachelor's in Statistics, Computer Science, Business, Economics or other related analytical fields.
• 5+ years of relevant analytics or business intelligence work experience.
• Expert in SQL, python and visualization platforms (Tableau preferred). 
• Familiarity with building applications. 
• Strong analytical and critical thinking skills with experience in data analysis.
• Ability to translate unstructured ideas into an end data product for the team. 
• Comfortable leveraging AI tools to accelerate data transformation, analysis, and visualization workflows.
• Excellent communication skills with the ability to synthesize and communicate results and tell compelling stories with data.
• Experience supporting Sales, Product or Marketing teams.

An ideal candidate also has:

• Sales and marketing experience including familiarity with MarTech tools.
• Navigate large, multifaceted datasets to answer hard questions — drawing on the right analytical or statistical approach for each problem.
• Hands-on experience working with Databricks.
• Data Science, machine learning or predictive analytics experience.
• Actively builds AI fluency relevant to BI and analytics work, including prompt engineering for data tasks, exploring AI-assisted features in tools, and staying current on how AI is reshaping the analytics landscape.
• Comfort working in an exploratory environment, testing and iterating on new data sources and methodologies.

About the role:

At Samsara, the Finance & Strategy (F&S) team is dedicated to optimizing capital allocation by delivering insightful data analysis, fostering strategic business partnerships, and implementing scalable processes. Our mission is to guide the company toward long-term success by developing an optimal operating plan, delivering accurate forecasts and annual operating plans, and ensuring that the business consistently meets or exceeds its targets. Additionally, we are committed to scaling F&S systems and driving cross-functional collaboration across the organization.

We are seeking a Financial Analyst to take ownership of managing R&D program expenses from budget creation through performance tracking. In this role, you will work closely with engineering and product leaders, as well as accounting teams, to provide financial and strategic insights that support decision-making and cost optimization. You will conduct comprehensive quantitative and qualitative analyses to identify opportunities for growth and efficiency. Your responsibilities will include managing the end-to-end budgeting process for R&D, tracking financial performance against forecasts, and providing leadership with timely insights through financial reporting. Moreover, you will play a key role in developing scalable processes that align with the company’s financial goals and contribute to its long-term success.

This is a remote position open to candidates based 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, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. 

In this role, you will: 

• Assist in financial planning and analysis by building and maintaining models for forecasting, budgeting, and cost analysis for R&D functions.
• Prepare accurate monthly, quarterly, and annual financial reports to track company performance.
• Conduct variance analysis to compare actual results against budgets and forecasts, identifying key drivers.
• Collaborate with cross-functional teams to provide insights and support decision-making processes.
• Partner with R&D business partners to identify cost-saving opportunities and drive process improvements, fostering a collaborative approach to financial management.
• Ensure the integrity and accuracy of financial data by managing financial databases and reporting systems.
• 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 and across new offices.

Minimum requirements for the role:

• 1-3 years of experience in financial planning and analysis (FP&A).
• Bachelor’s degree in Finance, Accounting, Economics, or a related field.
• Advanced skills in Excel or Google Sheets.
• Familiarity with financial statements (income statements, balance sheets, cash flow statements) and their analysis.
• Experience in building automated Excel reports.
• Solid understanding of corporate finance concepts such as budgeting, forecasting, and variance analysis.
• Problem-solving abilities with a proactive approach to identifying and solving financial challenges, with a focus on driving efficiency and cost optimization.
• Strong attention to detail and commitment to accuracy in all work.

An ideal candidate also has:

• Proficiency with AI tools (ChatGPT, Gemini, Glean, Cursor, etc.) and SQL, Databricks, or BI tools (e.g. Tableau, Power BI) 
• Proficiency in FP&A tools, such as Workday Adaptive Planning (or similar planning systems), NetSuite, and 
• Eagerness to learn and grow professionally, with a passion for continuous improvement.
• Ability to work independently, prioritize tasks, and meet deadlines in a fast-paced environment.
• Strong communication skills, able to explain financial concepts and data to non-financial stakeholders.

About the role:

Samsara is seeking a Manager II, WW Planning to lead the sustaining Demand Planning and Supply Planning teams responsible for creating and executing hardware forecasts across all of Samsara’s product lines globally. In this role, you will own the end-to-end forecasting process for in-market products—from signal collection and scenario modeling through handoff into supply and fulfillment—ensuring we meet customer demand while balancing inventory, cash, and cost objectives.

You will manage a team of demand and supply planners who are accountable for our collaborative planning process with Sales, Product, Customer Success, Strategic Finance, Supply Chain, and Operations, using data to inform real-time decisions and long-range plans. The ideal candidate has a strong track record in hardware demand and supply planning, is comfortable operating at both strategic and detailed levels, and can translate complex forecasts into clear narratives and decisions for senior leadership.

This role is open to candidates residing in Canada. Relocation assistance will not be provided for this role.

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, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. 

In this role, you will:

• Lead the sustaining Demand and Supply Planning teams that own forecasts for all Samsara hardware products globally, ensuring alignment across product families, regions, and sales segments.
• Collaborate tightly with Product and NPI Planning to ensure a smooth handoff from new product introduction into sustaining, including ramp curves, lifecycle transitions, and End-of-Life (EOL) planning for legacy products.
• Own the global demand forecasting process for physical products, consolidating signals from Sales, Product, Marketing, and historical performance into a coherent forecast that supports revenue, margin, and service-level targets.
• Translate demand into executable supply plans in partnership with Supply Chain, Global Operations Engineering, and Fulfillment to ensure capacity, materials, and production are aligned with forecast scenarios and buffers.
• Own the refurbishment and RMA demand  and supply forecast, collaborating with vendors to ensure capacity, turnaround times, quality, and cost targets are met.
• Run recurring forecast and supply reviews (e.g. IBP/S&OP forums), clearly communicating changes in business trends, upside and downside scenarios, and risks & opportunities to the operating plan to senior leadership across Operations and Sales.
• Establish and own key planning KPIs such as forecast accuracy and bias, on-time delivery, out of region shipments, and excess & obsolescence (E&O), driving root-cause analysis and corrective actions with your team and cross-functional partners.
• Own and drive Samsara’s vendor managed inventory partnership, ensuring appropriate targets are established and communicated to manufacturers and stakeholders to support company goals.
• Drive process and systems improvements across forecasting, scenario modeling, and reporting—leveraging tools such as Databricks, Tableau, NetSuite, Salesforce, and e2open (or similar) to automate workflows and improve data quality and transparency.
• Coach, develop, and scale a high-performing planning team, setting clear expectations, providing regular feedback, and building career paths for both demand and supply planners across levels and geographies.
• Build strong cross-functional relationships with Sales, Sales Operations, Product, Hardware Product, Supply Chain, and Operations to ensure that planning insights are embedded in daily decisions and long-term strategy.
• Scope and lead high-impact cross-functional projects that sit at the intersection of planning, supply chain, and commercial strategy (e.g. demand outlier forecasting, safety stock optimization, buffer strategy for new regions), delivering measurable top- and bottom-line impact.
• 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 and across new offices.
• Hire, develop and lead an inclusive, engaged, and high performing team.

Minimum requirements for the role:

• Bachelor’s degree in Supply Chain Management, Industrial Engineering, Operations Research, Finance, Economics, Data Science, or another relevant analytical field, or equivalent practical experience.
• 8+ years of experience in forecasting, demand planning, supply planning, or closely related planning/supply chain roles in hardware or electronics, with at least 3+ years directly managing planners or analytical teams.
• Demonstrated experience owning demand and/or supply forecasts for complex hardware portfolios across multiple regions, channels, or customer segments.
• Strong analytical skills, including proficiency with Excel/Google Sheets and experience building models and dashboards that support decision-making.
• Proven ability to synthesize complex data and tradeoffs into clear, concise narratives for executive audiences, including risks, opportunities, and recommended actions.
• Track record of cross-functional collaboration with Sales, Finance, Product, and Supply Chain, earning trust and influencing without direct authority in a fast-paced environment.
• Demonstrated ability to design and improve planning processes, including implementing or evolving S&OP / Integrated Business Planning (IBP) cadences and governance.
• A growth mindset with curiosity about Samsara’s products, customers, and markets, and a willingness to question assumptions and experiment with new approaches to planning.

An ideal candidate also has:

• MBA or other Master’s degree in a relevant field (e.g. Supply Chain, Operations, Industrial Engineering, Finance, Data Science).
• Experience planning for electronics or high-tech hardware products and SaaS revenue models, including understanding of lead times, component constraints, and outsourced manufacturing models.
• Proficiency with AI tools (ChatGPT, Gemini, Glean, Cursor, etc.) and SQL, Databricks, or BI tools (e.g. Tableau, Power BI) 
• Hands-on experience with planning and ERP systems such as e2open, SAP IBP, NetSuite, Databricks, and Salesforce, including defining requirements and partnering with Systems/IT teams on tooling upgrades.
• Experience in high-growth, innovative, and complex organizations (startup or public company) where processes and systems evolve rapidly.

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 ML Platform Engineering team at Afresh is responsible for building and maintaining the foundational infrastructure and tooling that powers all of our machine learning and applied science solutions. We provide the shared components and services that enable our teams to develop, deploy, and scale robust ML models. This includes a performant data API, configurable featurization, reliable forecasting systems, highly parallel optimization engines, and scalable training pipelines, and deep experimentation capabilities. As our product suite and customer base grow, so does the scale and complexity of what our platform needs to support, gracefully accommodating predictions and simulations across various time scales (hours, days, weeks), complex data hierarchies (pallets on a truck, shelves of mangos in a store, chunks of fruit in a bowl), and endless configuration possibilities (average shelf fullness, backroom loads, truck capacities).

About the Role

As a Staff ML Platform Engineer on the ML Platform Engineering team, you will be instrumental in elevating our core ML platform to its next level of performance, reliability, and scalability. You'll work on the critical infrastructure that directly enables all of Afresh's Machine Learning and Applied Science teams to innovate faster and deliver impact. Your contributions will empower our product suite, including our flagship Prediction Engine, to power replenishment decisions on more than 15% of all produce sold in the United States.

What You'll Do:

• In your first 3 months, you'll partner with ML, Applied Science, and engineering leadership to identify the highest-leverage gaps in our ML platform and shape a multi-quarter technical strategy to close them.
• By the end of your first 6 months, you will have driven a platform-level initiative that meaningfully changes what's possible at Afresh — establishing the architecture for real-time inference across the company, redesigning model configuration and deployment end-to-end, or rebuilding our distributed inference layer for an order-of-magnitude growth in scale — while raising the bar across the ML org through design reviews and mentorship of other senior engineers.

Skills and Experience

• BS in Computer Science or a relevant technical field.
• 7+ years of professional software development experience with a proven track record of shipping high-quality applications and services.
• Experience working collaboratively with machine learning engineers, data scientists, or applied scientists on large-scale software projects involving machine learning models.
• You possess a genuine curiosity about ML modeling (e.g., demand forecasting, state estimation, ordering policy). You aren't just building "pipes"; you want to understand what is flowing through them. 
• You have a deep understanding of how scientists work and build tools that bridge the gap between a research notebook and production-grade software. 
• Technical leadership experience and a demonstrated ability to mentor junior engineers.
• Deep expertise in library design, API design, data structures, and algorithms.
• Strong familiarity with the Python ecosystem (NumPy, Pandas, Torch, PySpark). While our stack is Python-heavy, we value engineers who are stack-agnostic and focus on solving fundamental distributed systems problems. 
• Proven ability to architect high-throughput distributed inference systems using Spark, Dask, or Ray. 
• Experience in engineering robust data architectures with a focus on schema evolution and performance tuning. 
• Experience with end-to-end orchestration (lineage tracking, resource scheduling, self-healing pipelines).

Tech Stack: Our backend is pure Python (NumPy, Pandas, Torch, PySpark, Cython, orchestrated in Airflow). We use Databricks as our data warehouse. While we'd like you to have very good familiarity with Python, many of our problems are stack-agnostic.

This position is not eligible for company sponsorship.

Salary Band in Canada (CAD): $148,000 - $242,000

The ML Platform Engineering team at Afresh is responsible for building and maintaining the foundational infrastructure and tooling that powers all of our machine learning and applied science solutions. We provide the shared components and services that enable our teams to develop, deploy, and scale robust ML models. This includes a performant data API, configurable featurization, reliable forecasting systems, highly parallel optimization engines, and scalable training pipelines, and deep experimentation capabilities. As our product suite and customer base grow, so does the scale and complexity of what our platform needs to support, gracefully accommodating predictions and simulations across various time scales (hours, days, weeks), complex data hierarchies (pallets on a truck, shelves of mangos in a store, chunks of fruit in a bowl), and endless configuration possibilities (average shelf fullness, backroom loads, truck capacities).

About the Role

As a Senior ML Platform Engineer on the ML Platform Engineering team, you will be instrumental in elevating our core ML platform to its next level of performance, reliability, and scalability. You'll work on the critical infrastructure that directly enables all of Afresh's Machine Learning and Applied Science teams to innovate faster and deliver impact. Your contributions will empower our product suite, including our flagship Prediction Engine, to power replenishment decisions on more than 15% of all produce sold in the United States.

What you will do:

• In your first 3 months, you might deliver a project that helps generalize model configuration, enables no-code model deploys for our various ML solutions, or vastly improves integration testing across our ML systems.
• By the end of your first 6 months, you will have owned the design and implementation of significant scalability improvements and additions to our ML platform. This might include new feature pipelines that power our recommendation engine, or work to stand up the first instance of real-time inference at Afresh.

Skills and Experience

• BS in Computer Science or a relevant technical field.
• 5+ years of professional software development experience with a proven track record of shipping high-quality applications and services.
• Experience working collaboratively with machine learning engineers, data scientists, or applied scientists on large-scale software projects involving machine learning models.
• You possess a genuine curiosity about ML modeling (e.g., demand forecasting, state estimation, ordering policy). You aren't just building "pipes"; you want to understand what is flowing through them. 
• You have a deep understanding of how scientists work and build tools that bridge the gap between a research notebook and production-grade software. 
• Technical leadership experience and a demonstrated ability to mentor junior engineers.
• Deep expertise in library design, API design, data structures, and algorithms.
• Strong familiarity with the Python ecosystem (NumPy, Pandas, Torch, PySpark). While our stack is Python-heavy, we value engineers who are stack-agnostic and focus on solving fundamental distributed systems problems. 
• Proven ability to architect high-throughput distributed inference systems using Spark, Dask, or Ray. 
• Experience in engineering robust data architectures with a focus on schema evolution and performance tuning. 
• Experience with end-to-end orchestration (lineage tracking, resource scheduling, self-healing pipelines).

Tech Stack: Our backend is pure Python (NumPy, Pandas, Torch, PySpark, Cython, orchestrated in Airflow). We use Databricks as our data warehouse. While we'd like you to have very good familiarity with Python, many of our problems are stack-agnostic.

This position is not eligible for company sponsorship.

Salary Range for Canada in CAD: $137,000 - $205,000

Opportunité 

À Valtech, vous trouverez un environnement propice à l’apprentissage continu, à l’impact concret et à la croissance professionnelle. Que vous développiez de nouvelles solutions digitales, remettiez en question les idées reçues ou construisiez la prochaine génération d’expériences client, votre travail contribuera à transformer les secteurs d'activité. 

Nous sommes fiers de: 

• Notre travail et l'innovation que nous encourageons 
• Nos valeurs : « share, dare, care » 
• Une culture d'entreprise qui favorise la créativité, la diversité et l'autonomie 
• Notre structure mondiale sans frontières, qui permet une collaboration fluide 

La maîtrise de l'anglais est requise, car le rôle implique des communications régulières avec des clients et des collègues situés à l'extérieur du Québec.

Rôle 

Veuillez noter que nous acceptons uniquement les candidatures provenant des provinces de l’Ontario, de la Colombie-Britannique (Vancouver) et du Québec pour ce poste. Pour les candidats basés au Québec, une maîtrise de l’anglais est nécessaire, car le poste implique une collaboration avec des équipes situées dans le reste des Amériques et occasionnellement en Europe.

Nous recherchons un(e) Architecte de données principal(e) (niveau Principal) possédant une solide expertise en architecture de données d’entreprise, en habilitation de l’IA et en paradigmes de développement cloud-native. Ce rôle va au-delà de l’ingénierie pratique : il requiert un(e) leader capable de définir la stratégie de plateforme, la posture de sécurité, d’influencer des clients de haut niveau et d’accompagner des équipes sur plusieurs programmes menés en parallèle.

En plus de solides compétences sur Microsoft Fabric et Azure, le/la candidat(e) idéal(e) possède une expérience sur AWS ou GCP, ainsi qu’avec Databricks, et une compréhension globale des architectures de données modernes. Il/elle doit être à l’aise pour soutenir les démarches commerciales, porter la vision architecturale et garantir l’intégrité technique des solutions tout au long de leur mise en œuvre.

Afin de gérer efficacement ce projet et son écosystème, le/la candidat(e) idéal(e) démontre une expertise pratique avérée en SQL, Python, systèmes distribués, gouvernance des données et architecture cloud. Il/elle doit être à l’aise pour accompagner les clients, cadrer et résoudre les écarts architecturaux afin de répondre aux exigences des solutions, et définir une stratégie à long terme en matière de données et d’intelligence artificielle.

Responsabilités du poste

Architecture et stratégie

• Concevoir et piloter des architectures de données complexes à l’échelle de l’entreprise sur MS Fabric, Azure, GCP, AWS ou dans des environnements Databricks (serverless ou hébergés).
• Définir et faire respecter les standards architecturaux, les modèles et les cadres de gouvernance couvrant l’ingestion, la modélisation, la traçabilité (lineage), la sécurité et l’orchestration.
• Structurer des approches architecturales intégrant l’IA, incluant les fondations de données pour le ML, le feature engineering et des pipelines d’opérationnalisation à faible latence.
• Agir en tant que conseiller(ère) principal(e) auprès des responsables techniques côté client afin de définir la stratégie à long terme, les feuilles de route et les initiatives de modernisation.
• Diriger l’orientation architecturale lors des phases d’avant-vente, incluant la conception de solutions, le cadrage, l’estimation et les présentations auprès des instances dirigeantes.
• Anticiper les impacts en aval des décisions architecturales ; conserver la responsabilité lorsque les équipes de delivery ou certaines contraintes nécessitent des écarts par rapport à la conception initiale.

Leadership en ingénierie des données

• Concevoir des pipelines de données hautement disponibles, distribués et tolérants aux pannes, supportant des charges de travail batch et streaming.
• Superviser la migration et l’intégration de sources de données complexes et hétérogènes vers des plateformes Fabric, Azure, GCP ou Databricks.
• Définir des modèles de type medallion/lakehouse (zones Bronze/Silver/Gold) ou leurs équivalents cloud.
• Établir des standards d’entreprise pour les couches ingestion → transformation → exposition (serving) dans des environnements multi-cloud.
• Optimiser les performances des traitements de données à grande échelle sur Spark, Databricks et les moteurs natifs de Fabric.
• Assurer le leadership sur 2 à 3 projets simultanés avec une allocation variable, en garantissant la cohérence architecturale et la qualité de livraison, tout en contribuant à des travaux techniques approfondis lorsque nécessaire.

Exécution technique et contribution pratique

• Développer des transformations avancées, des pipelines et des frameworks en utilisant SQL, Python, dbt et les outils cloud-native de Fabric/Databricks.
• Mettre en œuvre l’automatisation via des API REST, Data Factory, des services d’orchestration et des outils de workflows multi-cloud.
• Encadrer les ingénieur(e)s sur l’architecture distribuée, la conception des métadonnées, les cadres de qualité des données et les bonnes pratiques de gestion de plateforme.
• Réaliser des analyses de causes racines sur des problématiques complexes de plateforme ou de performance, et mettre en place des remédiations durables et évolutives.

Collaboration et influence

• Agir en tant que principale autorité technique lors des revues d’architecture, de la conception de solutions et de la planification transversale.
• Conduire des échanges stratégiques avec des parties prenantes de niveau direction et exécutif.
• Traduire des architectures complexes en impacts métiers clairs pour des audiences non techniques.
• Encadrer les équipes d’ingénierie, les architectes techniques, les chefs de projet et les architectes juniors afin de renforcer les capacités organisationnelles.
• Représenter l’architecture lors des échanges d’avant-vente, des présentations de capacités et des cycles de propositions.

Qualifications requises 

Afin d’être éligible à ce poste, vous devez posséder les qualifications essentielles suivantes: 

• Plus de 10 ans d’expérience en ingénierie des données, architecture de données ou ingénierie de plateformes.
• Expérience dans la conception ou la mise en place de plateformes de données d’entreprise sur au moins l’un des environnements suivants : Azure, GCP ou AWS, ainsi que Databricks.
• Expertise approfondie en SQL, Python, traitement distribué des données et conception de données cloud-native.
• Expérience significative avec les modèles d’architecture medallion/lakehouse.
• Solide connaissance des plateformes de données modernes : Databricks, Azure Synapse, Microsoft Fabric, Delta Lake, BigQuery, etc.
• Expérience avérée dans la direction architecturale de grands programmes et de plusieurs projets menés en parallèle.
• Expérience en automatisation et intégration d’entreprise via des API REST.
• Excellentes compétences en communication et capacité à interagir avec assurance auprès de la direction et des clients.
• Expérience en avant-vente, en conception de solutions techniques ou en leadership architectural orienté client.

Qualifications souhaitées

• Maîtrise des outils de reporting Tableau, Power BI et Microsoft Fabric.
• Expérience dans la conception d’architectures de données intégrant l’IA et de pipelines de données pour le machine learning.
• Expérience démontrée dans la définition et la mise en œuvre des meilleures pratiques DevOps.
• Expérience avec Spark, Hive, Impala et autres frameworks Big Data.
• Connaissance des composants d’architectures multi-cloud (Azure, GCP, AWS).
• Expérience avec des outils d’automatisation de pipelines tels qu’Airflow, Azure Data Factory et Prefect.
• Expérience dans la direction d’équipes techniques et la gestion de projets data / analytics / machine learning.
• Maîtrise des stacks applicatives front-end et back-end ainsi que de la conception d’API (REST/GraphQL).

Si vous ne possédez pas toutes les qualifications mentionnées ou si vous avez des lacunes dans votre parcours, nous vous encourageons à postuler. À Valtech, nous reconnaissons la richesse des talents et valorisons la pluralité des perspectives ainsi que la soif d’apprendre. 

Engagement pour l’inclusion 

Nous concevons des expériences qui conviennent à toutes les personnes — et cela commence par nos équipes. À Valtech, nous avons à cœur de bâtir une culture inclusive où chaque individu se sent soutenu pour grandir, s'épanouir et atteindre ses objectifs. Quel que soit votre parcours, vous avez votre place. Explorez notre site Diversité et Inclusion pour en savoir plus sur nos actions en faveur d’un Valtech plus équitable. 

Bénéfices et avantages 

Il s’agit d’un poste en temps plein basé à Québec, Canada.

Valtech offre un programme d’avantages sociaux complet, en vigueur après trois mois de service continu :

• Un régime d’assurance complet, avec la possibilité de choisir le module qui répond le mieux à vos besoins — Or, Argent ou Bronze. Selon le module sélectionné, l’employeur peut contribuer jusqu’à 80 % de votre couverture. Ce régime comprend des assurances invalidité de courte et de longue durée.
• Dialogue via Sun Life vous donne accès à des services de soins de santé virtuels, vous permettant de consulter un professionnel de la santé pour des urgences, des renouvellements d’ordonnance, et plus encore. Vous avez également accès au Programme d’aide aux employés et à leur famille, ainsi qu’à un programme complet de soutien en santé mentale.
• Un Compte de dépenses personnel de $500, pouvant être utilisé pour des remboursements de soins de santé, des abonnements au gym, des passes de transport en commun, des fournitures de bureau ou des contributions à votre REER par l’intermédiaire de Valtech.
• Un régime de retraite dans lequel Valtech égalera 100% de vos contributions à votre REER par l’entremise d’un Régime de participation différée aux bénéfices (RPDB), jusqu’à un maximum de 4 %. Vous pouvez commencer à cotiser à votre REER immédiatement, et au RPDB après 3 mois. L’acquisition des droits du RPDB est complétée après 24 mois de service.
• L’accès à un programme de vacances flexibles selon la politique de Valtech pour soutenir votre équilibre travail-vie personnelle, comprenant 5 jours disponibles pendant votre période de probation et un montant au prorata pour le reste de l’année.
• Un remboursement de technologie personnelle — $30/mois offert à chaque employé dès le premier jour.
• Nous fermons durant les vacances d’hiver et offrons des horaires flexibles tout au long de l’année, afin que vous puissiez profiter des après-midi ensoleillées du vendredi — pourvu que vos heures hebdomadaires soient complétées.

Processus de recrutement 

Une fois votre candidature envoyée, notre équipe Talent Acquisition l’examinera sous quelques jours. Si vos compétences et votre expérience correspondent au poste, nous vous contacterons pour les prochaines étapes. 

⚠️  Attention aux fraudes : n’interagissez qu’avec des adresses e-mail officielles se terminant par @valtech.com. 

Nous nous engageons en faveur de l’inclusion et de l’accessibilité. Si vous avez besoin d’un aménagement raisonnable pendant le processus de recrutement, veuillez l’indiquer dans votre candidature ou en informer votre Talent Partner. 

À propos de Valtech 

Valtech est une entreprise d’innovation et d’expérience qui a pour vocation d’offrir une meilleure façon d'appréhender le monde. En combinant expertises, secteurs et cultures, nous aidons les marques à créer de la valeur dans un monde de plus en plus digital. 

À l’intersection des données, de l’IA, de la créativité et de la technologie, nous accompagnons la transformation de grandes entreprises telles que L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, et bien d’autres. 

À Valtech, la transformation ne se limite pas aux discours. Nous la concrétisons. Nos collaborateurs sont au cœur de notre succès, et nous cultivons un environnement où chaque talent peut s’épanouir, évoluer et innover. 

Prêt·e à imaginer la suite ? Rejoignez-nous. 

Conformément à la loi allemande sur l'égalité de traitement et à son équivalent français, les offres d'emploi doivent être publiées de manière non sexiste. Nous utilisons la mention pour préciser que ce poste est ouvert à tous les genres dans ces pays, même si le titre du poste lui-même peut être traduit ou interprété comme « masculin » en allemand ou en français. 

Method is a global design and engineering consultancy founded in 1999. We believe that innovation should be meaningful, beautiful and human. We craft practical, powerful digital experiences that improve lives and transform businesses. Our teams based in New York, Charlotte, Atlanta, London, Bengaluru, and remote work with a wide range of organizations in many industries, including Healthcare, Financial Services, Retail, Automotive, Aviation, and Professional Services.

Method is part of GlobalLogic, a digital product engineering company. GlobalLogic integrates experience design and complex engineering to help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. GlobalLogic is a Hitachi Group Company.

We are seeking an experienced Principal Data Architect to join our Data & AI team. In this leadership role, you will help shape modern data and AI architecture strategies that enable organizations to achieve business outcomes through scalable, reliable, and secure data platforms. You will work closely with senior stakeholders, client teams, and engineering teams to define architectural direction, guide implementation approaches, and support the delivery of data-driven capabilities across analytics, AI, and operational use cases. You will exemplify Method culture and values by driving standards of excellence and mentoring and educating those who are accountable to you on projects or within the data engineering discipline. You will be reporting into the head of the Data & AI team. 

This role requires a strong blend of technical depth, architectural thinking, client engagement and team mentorship. You will be expected to navigate ambiguity, align business and technology priorities, and help teams deliver practical, high-quality solutions that support long-term value creation. In addition to shaping solution direction, you will play an important role in guiding and developing data engineering teams through coaching, knowledge sharing, and hands-on support.

Travel for team, client and sales meetings is required, typically up to 25%. This is a US-based position in the East Coast or Mid-Central time zone.

Job Responsibilities

• Lead complex data and AI platform initiatives, addressing architectural concerns while enabling delivery teams to meet defined standards, timelines, and budgets.
• Provide client-facing technical leadership on data architecture, data engineering, analytics platforms, and AI/ML infrastructure.
• Collaborate with enterprise architects and senior technology stakeholders to align on architectural decisions, trade-offs, and implementation approaches.
• Communicate architectural concepts clearly to both engineering teams and business stakeholders.
• Design architectures that bridge operational systems and analytical platforms, enabling data products, advanced analytics, and AI capabilities.
• Define and implement architectures for data governance, security, privacy, and regulatory compliance.
• Establish and integrate data quality frameworks, observability practices, and data reliability processes.
• Partner with sales and pre-sales teams to shape solution approaches, validate technical feasibility, and support proposals.
• Develop new value propositions and offerings for the data engineering at Method, create go to market strategies, test and refine the offerings during the sales pursuits.
• Grow and maintain the data engineering team. Provide career guidance and facilitate career development opportunities across Method. 
• Create an environment that brings together the best of various data disciplines with care for the uniqueness of each project. 
• Foster a culture of curiosity and learning, creating opportunities for employees to learn and grow into our future leaders.

Skills Required
Technical Skills

• 8+  years of experience in data engineering, with 3+ years in a technical leadership role. 
• Experience designing and implementing modern data architectures, including lakehouse, data mesh, and real-time data platforms, and evaluating technology trade-offs.
• Strong background in distributed systems and data-intensive applications.
• Experience building and operating large-scale data platforms, including data warehouses, streaming systems, and data lakes.
• Expertise in data modeling, data platform operations, observability, and reliability engineering for data systems.
• Proficiency with modern data and distributed technologies such as Spark, Kafka, Flink, Trino/Presto, Iceberg/Delta/Hudi, and distributed storage systems.
• Experience designing streaming and low-latency architectures and understanding their operational trade-offs.
• Experience designing and deploying AI/ML platforms, including feature stores, model training pipelines, and model serving systems.
• Familiarity with MLOps and ML productionization practices, including CI/CD, model monitoring, and governance.
• Strong experience working with cloud platforms (AWS, Azure, or GCP) and cloud-native data services.
• Experience with modern data platforms such as Snowflake, Databricks, or similar analytics environments.
• Understanding of data governance frameworks, data cataloging, lineage, and privacy controls.
• Experience implementing data-driven decision systems, advanced analytics, and machine learning solutions in enterprise environments.

Professional Skills

• Advise C-suite executives on data strategy, AI investment, and digital transformation at the highest organizational level.
• Strong experience supporting pre-sales, solution shaping, and technical discovery engagements.
• Support client partners in growing key accounts by identifying new opportunities, navigating complex situations, and educating clients on the value of our work beyond data and AI.
• Excellent stakeholder management skills and the ability to build trust with both business and technical leaders.
• Ability to cultivate strong partnerships across organizations to drive adoption of modern data and AI capabilities.
• Strong influencing skills, with the ability to galvanize, inspire, and align others around a shared direction.
• Contribute Thought Leadership through presentations, blogs, or public talks
• Strong conflict resolution and risk management skills.
• Team player with the capacity to mentor, guide, and champion engineering teams and architects.
• Commitment to technical excellence, pragmatic delivery, and continuous improvement. 

Why Method?

We look for individuals who are smart, kind and brave. Curious people with a natural ability to think on their feet, learn fast, and develop points-of-view for a constantly changing world find Method an exciting place to work. Our employees are excited to collaborate with dispersed and diverse teams that bring together the best in thinking and making. We champion the ability to listen, and believe that critique and dissonance lead to better outcomes. We believe everyone has the capacity to lead and look for proactive individuals who can take and give direction, lead by example, enjoy the making as much as they do the thinking, especially at senior and leadership levels.

We believe in work/life balance. Seriously. We offer a ton of competitive perks, including:

• Continuing education opportunities 
• Flexible PTO and work-from-home policies 
• Pension 
• Health and dental benefits
• Company lunches, company outings, along with a lot of snacks 
• Health and wellness programs 
• Other location specific perks (just ask!)

Next Steps

If Method sounds like the place for you, please submit an application. Also, let us know if you have a presence online with a portfolio, GitHub, Dribbble or other platform.

* For information on how we process your personal data please see Privacy.

* If you are a California resident, more details on how we process your personal information can be found in the CCPA Recruitment Privacy Notice (https://www.globallogic.com/privacy/ccpa-recruitment-privacy-notice/)"

Colorado Applicants (Colorado Equal Pay for Equal Work Act Disclosure):  The starting salary range for this role to be performed in Colorado is estimated to be between $160,000 to $200,000 annually.  This salary range is specific to Colorado residents only, and provided as a general estimate.  The amount offered may be higher or lower. Method  takes many factors into making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations. 

New York City Applicants (New York City Local Law 32;  Pay Transparency Law):  The starting salary range for this role to be performed in New York City is from $192,000 to $205,000. This salary range is specific to New York City residents only, and provided as a general, good faith estimate. The amount offered may be higher or lower. Method takes many factors into making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.

About Inspiren 

Inspiren offers the most complete and connected ecosystem in senior living. Founded by Michael Wang, a former Green Beret turned cardiothoracic nurse, Inspiren proves that compassionate care and technology can coexist - bringing peace of mind to residents, families, and staff.

Our integrated solutions seamlessly fit into existing workflows, capturing everything happening within a community. Backed by nurse specialists and powerful analytics, we provide the data operators need to make informed clinical and operational decisions - driving efficiency, profitability, and better care outcomes.

About the Role

We're looking for a Senior Data Scientist to bring rigor, modeling depth, and a bias toward automation to the data that powers Inspiren. You'll work across the organization, including with our Computer Vision, Machine Learning Engineering, Hardware, and Embedded Systems teams, building models, designing statistical evaluations, and turning one-off analyses into durable workflows that keep improving the product. You should be deeply familiar with the end-to-end ML lifecycle, comfortable reasoning about both classical statistics and modern ML systems, and energized by the opportunity to weave AI into data science workflows.

What you'll do

• Build models and statistical analyses that surface insights about outcomes and performance across Inspiren’s systems
• Design and run rigorous evaluations: offline and online experiments (A/B, shadow deploys, etc.) for new models and product changes
• Identify, evaluate, and integrate new datasets that expand what we can learn and measure
• Lead root-cause investigations when models or systems underperform in the field, and turn findings into concrete recommendations for improvement
• Incorporate AI into data science workflows, using LLMs and agentic tooling to accelerate analysis, code generation, documentation, and decision-making, and help shape how the team adopts these practices
• Reason how to incorporate multiple modalities and sensor data into algorithmic development and performance measurement

About you

• 5+ years of experience in data science, with a focus on statistical modeling and ML systems
• Strong modeling and statistical foundations. You're comfortable choosing the right tool for the problem, whether simple heuristics through ML
• Experience partnering with ML engineering teams, including familiarity with how production ML systems are evaluated and monitored
• Fluency with a modern data science stack: Python, Pandas, PyTorch, Databricks, MLflow, or similar tools for working with data and ML at scale
• Hands-on experience using AI tools (LLMs, coding copilots, agentic workflows) to speed up your own work, and curiosity to experiment with AI tools
• Strong data instincts and a pragmatic bias toward solutions that work in messy, real-world conditions
• A collaborative mindset and interest in working with a diverse teams
• Able to scope, prioritize, and deliver work independently
• Excited about working at an early-stage startup where your work directly shapes care outcomes

Bonus skills

• Experience working on spatiotemporal problems (sensor data, trajectories, event streams, or similar)
• Experience working with health or clinical data
• Healthcare or senior living domain experience

Details

• The annual salary for this role is $170,000-$200,000 + equity + benefits (including medical, dental, and vision) 
• Flexible PTO
• Location: Remote, US or Canada. NYC preferred.
• Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

About the Role:

• Build and ship high quality applications to optimize in store operations and decision making.
• Collaborate with your engineering teammates to support thousands of grocery stores critical fresh food supply chains across the US.
• Working closely with product managers, designers, and our users, deliver great product experiences across the iPad, the web front-end, API, and data layers.
• Participate in and provide meaningful feedback about major design choices.
• Build out our analytics and monitoring/observability to understand our system behavior and make informed decisions.
• Ensure the quality of our software via automated tests
• Design and build UIs, APIs, and solutions that are reusable and extensible.
• Work alongside machine learning specialists to drive new feature development.

Skills and Experience

The following represents attributes our ideal candidate possesses. We encourage all highly qualified candidates to apply, even if they do not fulfill all the listed criteria.

• BS in Computer Science or equivalent experience
• 2+ years experience with full-stack web development, including some web front-end and API development
• Experience building & maintaining production level APIs and applications
• Collaborative attitude while also being highly self-directed
• Strong problem solving skills and excitement to tackle hard problems
• Enjoy working in a fast-paced, startup environment
• Required skills: TypeScript (or Javascript), React, and Python
• Nice-to-have skills: PostgreSQL, GraphQL, Databricks, DBT, Terraform/OpenTofu, Azure, pair programming, test-driven development

This position is not eligible for company sponsorship. 

Salary Range in Canada.: $136,000 - $205,000 (CAD)

About impact.com
impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results.

Your Role at impact.com:

We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale — sitting at the intersection of data science, platform engineering, and marketplace economics.

This is a high-craft, high-ownership individual contributor role. You'll work end-to-end: architecting the data pipelines that feed your models, engineering the features that drive performance, and deploying real-time inference systems that make decisions at speed. Your work directly determines how effectively Impact's programmatic marketplace balances advertiser performance with publisher monetization — making this one of the highest-leverage technical roles in the business.

You'll collaborate closely with Product, Data Science, and Programmatic Delivery Engine Engineering, but you operate with significant autonomy. You're expected to bring both the modeling rigor of a data scientist and the production instincts of an ML engineer — and to be genuinely excited about both.

What You'll Do:

Yield Optimization & Pricing Models

• Design and deploy ML models that optimize auction pricing, bid shading, floor price setting, and yield across Impact's programmatic inventory.
• Build and iterate on real-time pricing algorithms that balance short-term revenue efficiency with long-term publisher and advertiser health.
• Develop and maintain feedback loops that allow pricing models to adapt to shifting market conditions, inventory mix, and demand patterns.
• Quantify the revenue impact of pricing model improvements; communicate tradeoffs between yield maximization, fill rate, and partner ROI to stakeholders.

Inventory Allocation & Supply Optimization

• Own ML-driven inventory allocation logic: routing, pacing, and matching supply to demand across partner segments, deal types, and campaign objectives.
• Build models that forecast inventory availability, demand curves, and clearing prices to support proactive allocation decisions.
• Identify and address inefficiencies in inventory utilization — including unsold inventory, suboptimal deal matching, and allocation imbalances across the publisher base.

Data Architecture & Feature Engineering

• Design and own the data infrastructure that feeds programmatic models: event pipelines, feature stores, training datasets, and real-time feature serving.
• Engineer high-signal features from auction logs, bid stream data, user signals, contextual attributes, and historical performance — at the scale of programmatic data volumes.
• Build robust data pipelines with production-grade standards: reliability, observability, versioning, and efficient reprocessing.

Real-Time Inference & Production ML

• Deploy models to production real-time inference environments; own latency, reliability, and throughput requirements for auction-time decision-making.
• Build monitoring systems that track model performance, data drift, and system health in production; define alerting thresholds and retraining triggers.
• Partner with MLOps and Platform Engineering to ensure scalable, low-latency serving infrastructure meets SLOs under high-volume auction traffic.
• Own the full model lifecycle: training, evaluation, deployment, A/B testing, and iteration.

Experimentation & Performance Measurement

• Design and execute rigorous A/B and holdout experiments to measure the causal impact of model changes on yield, fill rate, advertiser performance, and publisher revenue.
• Build evaluation frameworks that go beyond offline metrics — validating model behavior in live auction environments where feedback signals are delayed or noisy.
• Translate experimental results into clear business narratives; present findings and recommendations to Product and business stakeholders.

Self-Learning Systems & Feedback Loops

• Research and implement adaptive, self-learning components within the programmatic stack — including contextual bandits, reinforcement learning signals, and online learning approaches where appropriate.
• Design feedback mechanisms that close the loop between auction outcomes, model updates, and system behavior; reduce reliance on manual tuning and rule-based overrides.
• Stay current with advances in programmatic ML, auction theory, and online optimization; evaluate applicability to Impact's specific marketplace dynamics.

Cross-Functional Collaboration

• Serve as the primary ML technical partner for the Rubicon product and engineering teams; translate business requirements into modeling approaches and communicate technical tradeoffs clearly.
• Collaborate with Data Science peers on shared infrastructure, modeling standards, and cross-domain feature reuse.
• Document models, architectures, and experimental findings to a standard that enables review, replication, and knowledge transfer across teams.

What You Bring:

Required

• Experience: 5+ years in data science, ML engineering, or quantitative research, with at least 2+ years building and deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain (e.g., real-time bidding, dynamic pricing, auction systems).
• Programmatic & marketplace depth: Demonstrated understanding of programmatic auction mechanics (RTB, header bidding, floor pricing, deal types, bid shading) and how ML can be applied to optimize outcomes across the supply-demand stack.
• Production ML engineering: Proven ability to take models from prototype to production independently — including real-time inference, monitoring, retraining pipelines, and SLO ownership.
• Data architecture: Experience designing and building data pipelines, feature stores, and training infrastructure for high-volume, low-latency ML systems.
• Technical skills:
• Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and large-scale data tools (Spark, Kafka, or equivalent streaming/batch frameworks).
• Experience with real-time feature serving and low-latency model deployment (REST APIs, gRPC, or streaming inference).
• Familiarity with production ML workflows: model versioning, drift monitoring, A/B testing, evaluation, and retraining.
• Experience processing and modeling at programmatic data scale: high-cardinality auction logs, bid stream data, impression and click events.
• Experimentation rigor: Strong grasp of causal inference and experiment design in online, delayed-feedback environments (auction holdouts, switchback tests, variance reduction techniques).
• Communication: Ability to explain complex modeling decisions and tradeoffs to Product and business stakeholders; comfortable presenting in cross-functional forums.
• Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, Economics, or similar); Master's/PhD preferred.

Preferred / Nice to Have

• Direct experience with SSP, DSP, or exchange-side yield optimization — particularly floor price optimization, bid landscape modeling, or deal matching algorithms.
• Familiarity with auction theory (first-price vs. second-price dynamics, optimal reserve pricing, revenue equivalence) and its practical implications for programmatic ML.
• Experience with contextual bandits, multi-armed bandits, or reinforcement learning applied to real-time decisioning problems.
• Knowledge of online learning and adaptive algorithms in production environments with non-stationary data distributions.
• Familiarity with privacy-preserving ML techniques relevant to programmatic (differential privacy, federated learning, cookieless attribution modeling).
• Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) and/or Databricks/Spark for large-scale event processing and model training.
• Exposure to supply forecasting, inventory management, or capacity planning in programmatic or marketplace contexts.
• Familiarity with Impact's affiliate and partnership ecosystem, or prior experience at the intersection of performance marketing and programmatic delivery.

What Sets You Apart

• Marketplace intuition. You understand programmatic auctions not just as an engineer but as an economist — you think about incentive structures, equilibrium dynamics, and how model decisions ripple through the supply-demand stack.
• Full-stack ML ownership. You're as comfortable designing a feature store schema as you are tuning a gradient boosting model or debugging a latency spike in production. You own the whole chain.
• Feedback loop thinking. You don't just deploy models — you design the systems that make them smarter over time. You think about how today's decisions become tomorrow's training signal.
• Rigor under real-world constraints. You know how to run clean experiments in environments where feedback is delayed, data is noisy, and business pressures create tradeoffs. You don't let imperfect conditions become an excuse for imprecise thinking.
• Pragmatic delivery. You ship. You balance the perfect with the production-ready, iterate fast, and know when an MVP outperforms a six-month research project.
• Collaborative depth. You build genuine technical trust with engineering and product partners — not just by having good ideas, but by following through, communicating clearly, and making the integration easy.

Salary Range: $165,000 - $185,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant.

*This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.

Benefits and Perks: 

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

• Strong extended health benefits: Health & Prescription coverage, vision and dental care, virtual health care, out-of-country medical coverage
• Insurance coverage (life, short-term disability, long-term disability, and more)
• Health Care Spending Account
• Two different Employee Assistance Programs
• Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life.
• Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health.
• A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval.
• Investing in Your Growth: We’re committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses.
• Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver.
• Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. 

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

impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

#LI_Vancouver_Canada

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.

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.

ANALYTICS

What We Do

Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic.

What You'll Do

We are seeking a Senior Data Scientist to independently own and drive analytics initiatives for Family Experience (FamXP), Investigation analytics and Trust and Safety, with a focus on impacting team and product outcomes. You'll apply your expertise to transform ambiguous business questions into actionable insights while handling highly sensitive data with care and discretion. This role requires leading cross-functional projects, building strong stakeholder relationships across multiple teams, and maintaining the highest standards of data privacy and security. The role is expected to build foundational re-usable data models as well as end reporting and ad hoc analysis to support teams from FamXP, a product team, to Legal.

In this role, you will

• Own and deliver end-to-end analytics projects for Family Experience and Trust & Safety that drive team outcomes and measurably influence product/org outcomes, from problem framing through impact measurement; can range from telemetry implementation to reporting to automation (from Workato to ML)
• Solve ambiguous Family Experience and Trust & Safety problems by designing analyses, evaluating options/tradeoffs, and making independent decisions that keep work moving in a dynamic environment
• Execute team and product/org strategy through analytics planning: translate strategy into metrics, roadmaps/backlogs, and clear success criteria; contribute to setting team goals
• Build and maintain production-quality metrics, dashboards, and data models that monitor safety, parental controls, and age-appropriate experiences across Epic’s ecosystem
• Drive alignment around approach and outcomes with Trust & Safety, Product, Programming, Legal, and Policy partners across the team and organization, managing expectations and trade-offs
• Handle sensitive data related to minors and safety incidents with discretion, applying privacy/security best practices and Epic data governance requirements
• Mentor others on the team and within the product/org: share best practices, review work, and raise the bar for how analytics is done

What we're looking for

• 6-10 years of demonstrated ability to own and deliver analytics projects that execute team outcomes and influence product/org outcomes
• Strong SQL skills (Python, PySpark a plus) and experience working with large-scale datasets; comfort in modern data environments (e.g., Snowflake/Databricks/Spark); familiarity with version control and workflow orchestration tools (Airflow or similar) is a plus
• Proven ability to solve ambiguous problems and make independent decisions on team projects with minimal/no oversight
• Experience turning messy data into production-quality metrics, dashboards, and data models that support operational monitoring and decision-making
• Strong judgment handling sensitive or regulated data; working knowledge of privacy/security practices and relevant compliance concepts
• Ability to execute team + product/org strategy via planning and prioritization; can translate goals into measurable outcomes and help set team goals
• Track record of driving alignment and collaboration across immediate/adjacent teams and the broader product/org
• Clear communicator who can align stakeholders through concise updates and documentation that drive decisions and action
• Evidence of mentoring others on the team/product org (coaching, reviews, raising standards)
• Domain strength in Trust & Safety and/or family experiences online (e.g., moderation, account safety, community health, fraud, or safety feature measurement)

EPIC JOB + EPIC BENEFITS = EPIC LIFE

We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents.

About Life360

Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 91.6 million monthly active users (MAU), as of September 30, 2025, across more than 180 countries.

Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.

Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above. 

We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.

Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy. 

About The Team

The Finance Data Team sits at the intersection of Finance & Accounting teams and Life360’s data. We provide the data ingestion / processing / reporting / egress needed by our partner teams in Finance & Accounting to enable their work and ensure SOX compliance with rigor. We push the envelope on how work is done through implementation of AI tools and capabilities to enhance our own pace of development and capabilities that we deliver to our stakeholders.

We are hiring a bar-raising Staff Data Engineer to drive our ingress / egress capabilities and build cross-cutting capabilities to drive developer experience and security. This role requires someone who can step into ambiguity, make sound architectural decisions, eliminate operational fragility, and establish an engineering discipline that others adopt.

You will serve as a technical reference point - shaping standards, influencing cross-team architecture, and driving initiatives to clear, production-ready outcomes. We value engineers who are direct, collaborative, and proactive in surfacing risks early, while helping build a team culture where high standards and psychological safety coexist.

About the Job

The Life360 Finance Data Team works as the integrator for numerous systems - bringing data into the Finance Data Warehouse, transforming it, and pushing it to its relevant destinations (reporting, data asset deliverables, tools, etc).  To support our role we are continuously building and enhancing our system - adding new data, new transformations, and new tooling to improve developer velocity and ‘buy down’ overhead costs associated with maintaining our system.

As a Staff Data Engineer you will drive forward the:

• Data ingestion suite - a mix of capabilities ranging from Fivetran to completely custom connectors that bring data into our warehouse and monitor for data quality.
• Data transformation suite - enhancing our dbt environment (dbt core) and the suite of tools that we leverage to build data models, semantic models, and other interfaces.
• Data egress suite - a mix of capabilities that allow us to push data to its end destinations.
• CI/CD pipelines and other tools / capabilities to enhance the developer experience and velocity.
• Infrastructure and networking behind our warehouse and related connectors.
• Databricks configuration and capabilities.
• Security posture and access controls.

The ideal candidate:

• They have spent years building out data platforms / infrastructure as well as creating ingress / egress data frameworks that are used in pipelines.  They have tackled numerous challenges and found novel solutions to problems for data ingestion, processing, and egress.
• They have learned how to leverage LLMs for development velocity and analytics - not just asking it to write the code but leveraging the tools to support their development under clear guidance and accepts ownership of the work produced as their own.
• They have learned to think about scalability / velocity / experience of future development and not just shipping the current project.
• They are part software engineer, part data integration engineer, and part data platform engineer.
• They adhere to the controls / procedures / separation of duties necessary to maintain our SOX compliance.

We are looking for someone with strong engineering depth who demonstrates ownership, decisiveness, and the ability to elevate both the system and the team around them.

For candidates based in the US, the salary range for this position is $190,000 to $280,500 USD. For candidates based out of Canada, the salary range for this position is $220,000 to $260,000 CAD. We take into consideration an individual's background and experience in determining final salary; therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

AI / LLM Usage

The Finance Data Team leverages LLM’s to support code generation, analysis, and other use cases.

• Cursor / Claude Code.
• Other tools (Wispr Flow, Claude & Claude Cowork, Gemini / Codex).

Your experience with AI / LLM usage should include managing code generation with a close eye on quality, standards, and testing - owning the outputs as your own.  Your work with and ability to leverage these tools will drive your velocity and ability to effectively work within our environment.

What You’ll Do

• Architect and evolve scalable data ingestion and egress frameworks and pipelines that are well tested and offer strong data quality monitoring. 
• Architect and evolve our CI/CD processes - enhancing the testing environment and observability (such as building LLM-driven reviews with context awareness through data diffing, lineage analysis / downstream impact analysis, and general context).
• Architect delivery architecture of data assets to external team partners to reduce manual operational overhead associated with month end close.
• Enhance our Claude Code / LLM development support capabilities - creating tools / skills / agents that give our LLMs more context and help us continually improve their abilities to debug, create code, and maintain systems.
• Enhance our security posture in our AWS / Databricks environment.
• Design and implement distributed data processing systems using Spark and Databricks on AWS.
• Establish clear ingestion and integration boundaries that eliminate single points of failure.
• Proactively surface risks, dependencies, and tradeoffs before they impact delivery.
• Produce clear technical artifacts and recommendations for stakeholders and leadership.
• Design logical and physical data models balancing flexibility, performance, governance, and scalability.
• Partner closely with the Analytics Engineers on the Finance Data Team to support high-quality downstream data modeling & reporting.
• Harden pipelines with monitoring, alerting, SLAs, and recovery mechanisms.
• Mentor engineers and elevate distributed systems rigor across the team.

What We’re Looking For

• 8+ years designing and operating high-volume distributed data systems in production.
• Deep expertise with a cloud data platform (Databricks strongly preferred) and AWS from an infrastructure / services architecture, deployment, and ownership perspective.
• Strong proficiency in Python, SQL, and Spark for large-scale processing.
• Strong proficiency with modern CI/CD practices (creating GitHub Actions, writing Terraform code to manage infrastructure in Databricks / Airflow / AWS / and others).
• Hands-on experience with dbt from an infrastructure / deployment perspective and understanding of how platform decisions impact downstream modeling.
• Strong grasp of data modeling, partitioning strategies, storage formats, and analytical workload optimization.
• Experience with Airflow and data flow orchestration.
• Experience with networking challenges in data ingestion (e.g., VPC peering, firewall traversal, API rate limiting, cross-AWS account access, etc.)
• Able to effectively leverage / oversee LLM-supported code development while maintaining a high quality bar.
• Demonstrated experience with AI tools to support / enhance development - Claude Code, Cursor, etc.
• Demonstrated ability to independently scope ambiguous problems and drive them to decisive outcomes.
• Track record of proactively escalating risks and closing long-running efforts with clear recommendations.
• Experience defining ingestion validation standards and implementing data quality controls.
• Proven ability to reduce operational fragility and eliminate single points of failure.
• Strong systems design skills across distributed and event-based architectures.
• Demonstrated technical leadership influencing cross-team architectural decisions.
• Excellent communication skills across engineering, analytics, product, and executive stakeholders.
• BS in Computer Science, Engineering, Mathematics, or equivalent experience.

Our Benefits

• Competitive pay and benefits.
• Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees.
• 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
• Employee Assistance Program (EAP) for mental wellness.
• Flexible PTO and 12 company wide days off throughout the year.
• Learning & Development programs.
• Equipment, tools, and reimbursement support for a productive remote environment.
• Free Life360 Platinum Membership for your preferred circle.

Life360 Values

Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference 

• Be a Good Person - We have a team of high-integrity people you can trust. 
• Be Direct With Respect - We communicate directly, even when it’s hard.
• Members Before Metrics - We focus on building an exceptional experience for families. 
• High Intensity, High Impact - We do whatever it takes to get the job done. 

Our Commitment to Diversity

We believe that different ideas, perspectives, and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.  

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences creates a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the qualifications above, you should still seriously consider applying!

#LI-Remote

____________________________________________________________________________

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

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

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

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

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

What we look for:

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

At Databricks, we’re passionate about enabling data teams to solve the world’s toughest problems — from accelerating medical breakthroughs to building the next generation of intelligent products. We do this by creating the world’s best Data Intelligence Platform, empowering customers to turn massive data into deep, actionable insights.

Founded by engineers and driven by innovation, we’re obsessed with designing intuitive, high-performance user experiences that make complex data exploration simple and approachable.

As a Senior Frontend Engineer focused on Dashboards, you’ll build intuitive and scalable end-to-end experiences that help users create, explore, and share insights from data. You’ll work across the frontend, partnering with designers, product managers, and engineers to develop the next generation of dashboards, interactivity, and analytical workflows within Databricks.

What You’ll Do

• Design and build intuitive, high-performance experiences for creating and editing dashboards, as well as for authoring the data behind them, including SQL datasets, custom calculations, and semantic modeling.
• Partner closely with design and product to translate complex analytical concepts into polished, intuitive, and efficient dashboard experiences.
• Drive innovation in how Databricks users interact with data, enabling seamless and responsive exploration at scale.
• Own frontend development for core dashboard workflows, with a focus on usability, performance, accessibility, and reliability.
• Help shape the architecture, abstractions, and platform foundations that support a broad range of dashboarding and analytical use cases.
• Collaborate with backend engineers and adjacent teams to define APIs, data models, and contracts that power interactive and scalable dashboard experiences.

What We Look For

• 5+ years of professional software engineering experience, with strong experience building both frontend and backend systems.
• Expertise in modern frontend development with HTML, CSS, JavaScript/TypeScript, and React, or similar frameworks.
• Deep understanding of UX principles, accessibility, and responsive design for data-heavy interfaces.
• Experience designing scalable systems and abstractions that support interactive, high-performance product experiences.
• Proven ability to collaborate cross-functionally and deliver impactful user-facing features.
• Experience building dashboards, analytics, data exploration, authoring tools, or business intelligence products is a plus.
• Familiarity with SQL authoring, custom calculations, semantic modeling, or related analytical workflows is a plus.
• Experience with cloud technologies such as AWS, Azure, GCP, or Kubernetes is preferred.

What do we need

We are seeking a Scientific Technical Solutions Lead to join the team developing scientific Solutions built on Dotmatics LUMA, a next-generation, multi-tenant, AI-powered data management and workflow automation for multimodal scientific discovery. As a Scientific technical lead on the team, you will work closely with other Solution Architects, product management, engineering teams, and external stakeholders to deliver exceptional product capabilities via Luma Solutions.

Your focus will be on designing and implementing the configuration necessary to realise product vision and on ensuring that this configuration follows best practices within the Life Sciences and Chemical & Material space.

This role offers the opportunity to shape a foundational part of the modern lab—helping scientists work faster, smarter, and with greater impact.

In this role you will get to:

• Design configuration: Collaborate with Product to determine application structure, define entity/data models, specify task workflows (Scientific Workflows) , and define desired data visualization experiences
• Develop configuration: Create registration entities, data flows, task templates, data visualization experiences, and other configurations in support of developing Luma Solutions that will be delivered as part of the product
• Test and troubleshoot configuration: Perform in-team testing of configuration and assist is handing test cases to the QA group for release testing. Troubleshoot configuration to understand why it is not producing desired results.
• Contribute to documentation: Write draft documentation of configuration and workflows and collaborate with the Documentation team to develop final customer-facing documentation
• Train internal and external users: Train members of other Dotmatics teams and early customers on how to use Luma Solutions configuration and the workflows it supports
• Provide input into new product features: Use new product features in Luma Solutions and provide feedback on the experience, participate in user experience testing, and provide input to the Product team about features that will enable the best Solutions
• Champion quality and best practices: Actively participate in the development of best practices for Luma configuration, and ensure these best practices are followed in the development of Luma Solutions

We are looking for people who have 10+ years of hands-on experience building and delivering informatics solutions for Life Sciences customers. The ideal candidate holds a Bachelor's or advanced degree in Life Sciences, Data Science, Chemistry, Biology, Bioinformatics, or a related technical discipline — and brings a genuine passion for quality and continuous improvement, fueled by a drive to solve problems that truly matter.

The key skills we are looking for: 

• Life Science Industry experience, either as a Scientific Solution Architect, technical application Scientist or a Scientist who has been heavily involved with designing products or technical applications
• Advanced expertise in data modeling, with a proven ability to design robust, scalable data structures
• Expert-level proficiency in configuring low-code platforms and designing end-to-end workflows
• Demonstrated success delivering scientific data platforms or tools spanning data modeling, ETL, APIs, and BI/reporting
• Expert-level SQL skills, with strong working knowledge of Python and JSON
• Deep experience integrating tools and modules to architect complete, cohesive solutions
• Strong analytical ability to translate product requirements into precise technical configuration designs
• Excellent communication skills — able to distill complex technical concepts for both technical and non-technical audiences at all levels
• Experience running and/or supporting scientific workflows in a production or research environment

You may also have 

• Experience running scientific test cases
• Understanding of software testing and or SDLC
• Working knowledge of Databricks
• Drug Discovery or Biotechnology industries or Other scientific Industries

About Life360

Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app,Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 95.8 million monthly active users (MAU), as of December 31, 2025, across more than 180 countries.

Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.

Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above. 

We are AI Native

We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.

Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.

About The Team

Data Science at Life360 is a lean, high-impact, matrixed team with individuals embedded in business units and working cross-functionally with Product, Analytics, Engineering, and business stakeholders. We are dedicated to enhancing and optimizing the user experience, accelerating growth, and generating revenue through subscriptions, partnerships, and ads. We leverage a variety of technical skills and tools including experimentation, machine learning, advanced analytics, and agentic AI (AI-Native development) to deliver exceptional customer value.

About the Job

We are seeking a Senior Data Scientist to scale Life360’s growth and user retention efforts. This role will be a core contributor to the Growth team’s strategy and operations. You will work closely with business leads, lifecycle marketing, and user acquisition teams to optimize the entire funnel—from registrations to subscriptions and churn reduction. Your expertise will help Life360 make smarter, faster, and more scalable decisions, directly impacting millions of users.

This role requires strong technical expertise and practice experience in machine learning, statistical modeling, experimentation, and causal inference, as well as the ability to collaborate with cross-functional teams to drive measurable business outcomes.

For candidates based in the US, the salary range for this position is $129,000 to $190,000 USD. For candidates based out of Canada, the salary range for this position is $149,500 to $176,000 CAD. We take into consideration an individual's background and experience in determining final salary - therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

What You’ll Do

• Experimentation & Causal Inference: Design and implement scalable A/B tests to train causal inference models and multi-armed bandits to optimize registration, trial conversion, and retention strategies.
• Automation & Personalization: Build and scale automation tools for experimentation and segmentation, ensuring teams can efficiently test and iterate on hypotheses.
• Growth Optimization: Develop predictive models and statistical frameworks to improve trial-to-subscription conversion, reduce churn, and enhance overall customer LTV.
• User Segmentation & Personalization: Leverage clustering, behavioral analysis, and geospatial data to identify key user segments and tailor experiences accordingly.
• Product Development: Collaborate with product managers and engineers to conceive and develop innovative product ideas, driving feature iteration and development to make impact.
• Cross-functional Collaboration: Partner closely with growth, lifecycle marketing, and user acquisition teams to translate insights into scalable marketing and product strategies.
• Data Infrastructure & Tooling: Work with data engineering to improve the data ecosystem, ensuring robust, scalable pipelines for experimentation and analysis.
• Thought Leadership: Act as a mentor and thought leader within the data science team, helping to define best practices in experimentation, machine learning, data-driven decision-making, and agentic AI (AI-Native) best practices.

What We’re Looking For

Desired Experience & Qualifications

• 4+ years of experience in data science, machine learning, or analytics, with a focus on growth, experimentation, and user retention.
• Strong experience in causal inference, A/B testing methodologies, and statistical modeling.
• Deep understanding of machine learning models for user segmentation, personalization, and predictive analytics.
• Proficiency in Python (Pandas, Scikit-learn, PyTorch, or TensorFlow) and SQL for data manipulation and analysis.
• Experience with big data technologies such as Spark, AWS, Databricks.
• Experience with product development or customer life cycle management.
• Strong business acumen with the ability to translate data insights into actionable business strategies.
• Excellent communication and leadership skills, with the ability to influence cross-functional teams.
• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field

Preferred Qualifications

• Experience in subscription-based products, lifecycle marketing, or user acquisition.
• Experience with geospatial data and mobile location-based services.
• Familiarity with Bayesian modeling, uplift modeling, and reinforcement learning for experimentation.
• Experience with workflow automation tools for experimentation and data science operations.
• Experience in the consumer technology sector, particularly within a fast-paced and sometimes ambitious development setting.

Core Expectations

• Problem-solving mindset - You structure ambiguous problems precisely before reaching for a tool, AI or otherwise
• Collaborative approach - You can explain technical tradeoffs and articulate ideas effectively, work well across teams, and value diverse perspectives
• Ownership mentality - You take responsibility for your work from design through production and beyond
• AI-native working style - You use AI tooling (Claude Code or equivalent) as a genuine development partner: delegating discrete tasks, reviewing outputs critically, and running parallel workstreams rather than hand-holding one agent at a time

We believe culture fit and problem-solving ability matter more than checking every technical box. We're happy to help you grow into areas where you have less experience.

Our Benefits

• Competitive pay and benefits.
• Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees.
• 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
• Employee Assistance Program (EAP) for mental wellness.
• Flexible PTO and 12 company wide days off throughout the year.
• Learning & Development programs.
• Equipment, tools, and reimbursement support for a productive remote environment.
• Free Life360 Platinum Membership for your preferred circle.

Life360 Values

Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference 

• Be a Good Person - We have a team of high integrity people you can trust. 
• Be Direct With Respect - We communicate directly, even when it’s hard.
• Members Before Metrics - We focus on building an exceptional experience for families. 
• High Intensity High Impact - We do whatever it takes to get the job done. 

Our Commitment to Diversity

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.  

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying!

#LI-Remote

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