About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

• Design and deploy AI agents that monitor business performance and surface actionable insights without being asked

• Architect systems that shift analytics from "answering questions" to "anticipating needs"

• Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

• Develop natural language interfaces that let business leaders query data conversationally

• Build semantic layers that translate business concepts into data structures optimized for LLM reasoning

• Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

• Design data models that support automated analysis, pattern detection, and AI agent interactions

• Build workflows that connect insight generation to recommended actions

• Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

• Identify high-value opportunities where AI can augment human decision-making

• Implement end-to-end solutions using Claude, custom agents, and modern AI tooling

• Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

• 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership

• Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption

• Strong Python proficiency for data engineering, automation, and AI agent development

• Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

• Hands-on experience building and deploying AI agents or LLM-powered applications in production

• Deep understanding of LLM capabilities, limitations, and prompt engineering best practices

• Experience architecting semantic layers or natural language interfaces for data access

• Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions

Analytics & Business Acumen

• Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions

• Strong analytical intuition—you know what questions matter before they're asked

• Experience translating ambiguous, cross-functional business problems into technical solutions

• History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

• Experience mentoring other analysts or engineers, formally or informally

• Demonstrated ability to influence senior stakeholders and drive alignment across teams

• Comfort operating in ambiguity and shaping strategy, not just responding to it

• Track record of building systems and processes that scale beyond yourself

Builder Mindset

• You ship products, not just dashboards 

• You'd rather build something useful in a week than something perfect in a quarter

• You measure success by business impact, not technical complexity

• You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

• Experience in real estate, fintech, or marketplace businesses

• Background in marketing analytics, sales operations, product analytics, or pricing/economics

• History of building tools or platforms that replaced recurring analyst work

• Experience leading technical projects or small teams

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.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Lyft is looking for experienced software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our riders and drivers.

As a Software Engineer for Lyft Ads - you will work on one of Lyft’s newest lines of business focused on building the world’s largest transportation media network. We build products that allow brands to engage with our unique audience throughout their transportation journeys and beyond. For this role we are seeking software engineers who are passionate about backend and data engineering. You will join our Ad Infra Engineering team and contribute to building the systems and pipelines powering our ad-serving, measurement and audience platform. We work on technologies that let brands engage with our unique audience throughout their transportation journeys. This role is a great opportunity for an early-career engineer to gain experience working with distributed backend systems and large-scale data workflows, collaborating closely with product, analytics, and data science teams.

Why Lyft Ads?

• Be part of a high-impact team building the foundations of Lyft’s advertising infra
• Gain experience working with complex systems at scale, backed by mentorship and growth opportunities.
• Join a supportive, inclusive environment focused on engineering excellence and business impact.

Responsibilities:

• Develop and maintain backend systems that support real-time ad serving, campaign management, and reporting.
• Design and implement scalable data models to support analytics, targeting, and measurement use cases.
• Build and maintain data pipelines that handle ingestion, transformation, and distribution of large volumes of advertising data.
• Work with orchestration frameworks (e.g., Airflow) to schedule and monitor reliable, production-grade data workflows.
• Collaborate with cross-functional partners to integrate internal and third-party systems via APIs and batch data feeds.
• Write clean, maintainable, and testable code following best practices (CI/CD, observability, code reviews).
• Participate in architecture discussions and design reviews with an emphasis on performance and reliability.
• Learn and grow through mentorship, documentation, and regular team collaboration.

Experience:

• BSc/MSc in Computer Engineering, Computer Science, related field or relevant work experience
• 3+ years of industry experience in backend or data engineering roles
• Proficiency in at least one backend programming language (e.g., Python, Go, Java)
• Good understanding of distributed systems, microservices, and database design (SQL and NoSQL).
• Exposure to orchestration tools (e.g., Airflow, Prefect) and data distribution technologies (e.g., Kafka, Pub/Sub).
• Experience working with relational and non-relational databases (e.g., PostgreSQL, BigQuery, DynamoDB).
• Experience with Linux.

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan with company match to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Scientist Intern who can help us discover the value out of our rich and large datasets. Our ideal team member will have the mathematical and statistical expertise you’d expect, but a natural curiosity and creative mind that’s not so easy to find. As you mine, interpret and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the data’s full potential. You will join a team of data specialists, but will “slice and dice” data using your own methods, creating new visions for the future. If you love technology and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Data Scientist Intern, you will be a crucial part of producing innovative analytics from Geotab’s big data environment. We believe that there is collective value in the massive amount of data arising from all of our sensors across the globe. And most importantly, we believe this data can be used to improve safety, infrastructure, and productivity for our customers. You will work with our team of data scientists and engineers who have curated our data repository and have created a series of near real-time and historical datasets. You will leverage data mining techniques, Machine Learning, Deep Learning, Neural Networks and other Artificial Intelligence and statistical analysis tools to build models and high-quality prediction systems to help our customers make informed and smarter decisions. You will work closely with Data Analysts, Data Engineers, Professional Services, Data Privacy & Governance, firmware as well as other internal departments such as Software Development and Solutions Engineering to achieve these objectives.

The opportunity:

• 8+ month work-term beginning September 2026.
• Full-time, paid internship: Monday - Friday, 37.5hrs/week.
• Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
• Learn more about the Geotab Campus Program here.
• This posting is for an existing vacancy.

How you'll make an impact:

• The primary objective of this internship is to develop a "Reasoning & Automation" solution that evolves Geotab Ace into a fully integrated, context-aware assistant. Key goals include:
  • Multi-Modal Ingestion: Implement a multi-modal ingestion layer (leveraging technologies like Google's LiveAPI) capable of processing screen content, audio, and text simultaneously to establish real-time user context.
  • Contextual Enrichment: Develop mechanisms to automatically enrich user prompts with environmental state (e.g., current page URL, visible data charts), eliminating the need for users to manually explain their context.
  • Proactive Assistance & Navigation: Extend the reasoning capabilities of the agent to not only answer data queries but also guide users through complex workflows ("Where do I go to...") and offer proactive support.
  • Optimization of RAG & SQL Generation: Continue to refine the underlying RAG architecture and "text-to-SQL" generation for Google BigQuery to ensure the answers provided are accurate, safe, and efficient.

What you'll bring to the role:

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

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

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

What you'll do:

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

Audience, Segmentation & Personalization

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

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

What you’ll bring:

Technical Skills

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

About you:

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

What’s in it for you:

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

About us:

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

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

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Analytics Intern to support the CS Operations team within Revenue Operations. In this role, you will work directly with the Manager of CS Operations to build, maintain, and analyze the data systems that power how Geotab manages retention, customer health, and expansion across its global customer base. If you love turning raw data into actionable insight and want hands-on experience with a real-world customer analytics problem, we would love to hear from you!

What you'll do:

As a Data Analytics Intern in CS Operations, you will support the design, validation, and maintenance of data pipelines and reporting models that drive how Geotab's Customer Success team operates. You will work closely with the Manager of CS Operations, the Revenue Operations Data & Analytics team, and the Salesforce Systems team. The successful candidate is a curious, detail-oriented problem solver who is comfortable with ambiguity, eager to learn, and can translate data into clear, useful outputs for both technical and non-technical audiences.

The opportunity:

• 12 month work-term beginning September 2026.
• Full-time, paid internship: Monday - Friday, 37.5hrs/week.
• Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
• Learn more about the Geotab Campus Program here.
• This posting is for an existing vacancy.

How you'll make an impact:

• Collaborate with colleagues from the Revenue Operations Data & Analytics team and other business functions to drive customer success outcomes
• Ensure data quality throughout all stages including data sourcing, normalization, transformation, and validation
• Support data and analytics projects as directed by the supervisor, contributing to reporting, modeling, and data infrastructure work
• Promote data-driven decision-making across the Customer Success team by translating data into clear, actionable outputs for both technical and non-technical stakeholders
• Provide leaders with data insights to support decisions and improve the consistency and usability of data across teams

What you'll bring to the role:

As the GTM Engineer at 7shifts, you’ll build the technical engine behind our global marketing and sales strategy, transitioning our motions from manual one-size-fits-all campaigns to an intelligent system that triggers the right action at the right moment. Reporting to the Senior Manager, GTM Data Science & Engineering, your focus will be on building internal products and automated workflows that drive results across acquisition, retention, and expansion. As a strategic technical partner to go-to-market teams, you will engineer seamless experiences that turn complex data into business value at scale.

What you’ll do:

• GTM Tool Building: Build internal products that replace manual research with automated intelligence, enabling teams to shift from generic marketing and sales motions to personalized, data-backed approaches.
• Data Acquisition & Signal Engineering: Engineer workflows that blend vendor data with custom signals to identify high-value prospects based on specific triggers and market events across GTM initiatives.
• Targeting & Prioritization: Replace manual list-building with data-driven prioritization models, ensuring resources are focused on the prospects and growth opportunities with the highest probability of conversion across the funnel.
• AI Agents & Workflows: Deploy AI agents to automate routine tasks, increasing organizational capacity and enabling teams to maintain high-quality decision making across workflows.
• Lifecycle Orchestration: Orchestrate cross-functional GTM motions using event-driven triggers, ensuring that interactions are synchronized with real-time behaviour to improve engagement timing and relevance.
• Data Pipelines & Activation: Establish a centralized GTM logic layer within the data warehouse to ensure all execution platforms operate from a unified source of truth, maintaining data integrity across initiatives.
• Cross-Functional Enablement: Serve as a strategic bridge between GTM and Data teams, translating business goals into technical requirements and enabling stakeholders to effectively apply data to optimize their core motions.

What you bring:

• 2+ years of experience in Analytics Engineering, Marketing Analytics, Growth Engineering, Revenue Operations, or a similar role. You understand the technical side of acquisition, retention, and expansion.
• Advanced proficiency in SQL and Python or JavaScript. You are comfortable building lightweight internal tools, custom scripts, and managing complex data transformations.
• Hands-on experience with cloud data warehouses (e.g., Snowflake, BigQuery) and dbt for managing business logic and ensuring data quality.
• Deep understanding of APIs and the ability to architect data flows between disparate GTM tools (Salesforce, Braze, etc).
• The ability to act as a strategic bridge, translating high-level business goals into technical specs while helping non-technical stakeholders operationalize data signals.
• A business-first engineering mindset. You think end-to-end  from raw data extraction to activation, focusing on revenue impact rather than just shipping code.
• Experience integrating LLMs into production environments for tasks like unstructured data extraction, lead qualification, or building autonomous agentic workflows.

It’d be even cooler if you had:

• Experience working with Snowflake or Snowflake data
• Knowledge of restaurant operations/sector
• Product-led Growth (PLG) experience

This role is an existing vacancy and is part of our current hiring plan. 

Compensation

The base compensation range for this position is CAD $92,000 - CAD $130,000. This range reflects the full growth path for the role, from building core skills to accomplished performance, through to role mastery. We typically target the accomplished level when hiring externally. At this level, individuals bring relevant experience in the role, demonstrate strong job-related skills, operate with confidence and consistency, and are able to deliver impact with limited ramp-up while still having meaningful opportunity to grow.

Compensation at 7shifts is performance and growth-driven. As you develop your skills and expand your impact over time, your compensation grows with you. Your specific placement within this range is based on your job-related skills, knowledge, and experience, as well as our internal equity assessment. We are always happy to discuss our approach throughout the hiring process.

Who We Are

Konrad is a next-generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard-working people who are lifelong learners.

About The Role

This role sits on our consulting team, where your internal title will be Consultant, working primarily in a data analytics capacity across client engagements.

As a Consultant focused on Data Analytics, you are an early-to-mid career data professional with a strong foundation in analysis and a desire to grow both your technical and consulting skill set. Leveraging your analytics background, you will support the delivery of digital products for our clients through analytics and reporting solutions that help organizations better understand their data and make informed decisions.

In addition to your analytics work, you will gain exposure to broader areas of digital consulting, including digital product development, digital transformation, and user experience (UX/CX). You are interested in understanding how data supports product decisions, customer experiences, and overall business strategy.

You will work closely with senior analysts, data scientists, engineers, product managers, designers, and business stakeholders across a variety of client engagements. With guidance and mentorship, you will contribute to analytics initiatives including dashboarding, exploratory analysis, KPI tracking, and data quality validation, while also building broader consulting skills across areas such as project management, user experience, and design thinking.

You are curious, detail-oriented, and motivated to continuously improve your analytical and consulting capabilities.

What You’ll Do

• Support client and internal teams in understanding business questions and translating them into analytical requirements
• Analyze data to identify trends, patterns, and insights under the guidance of senior team members
  Build and maintain dashboards and recurring reports to track key metrics and performance indicators
• Assist in documenting metrics, definitions, and analytics processes
• Collaborate with data engineers and other analysts to support data modeling and reporting layers
  Communicate insights clearly through visualizations, summaries, and presentations
• Proactively identify opportunities to improve reporting, data quality, and analytical workflows

Qualifications

• Minimum 2+ years of experience in a data analyst, business intelligence, or analytics-focused role
• Programming experience in Python, Bash scripting, R or related language
• Working proficiency in SQL and experience querying cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery)
• Experience with Business Intelligence and data visualization tools (e.g., Looker, Tableau, Power BI)
• Foundational understanding of data modeling and analytics best practices
• Experience defining and tracking KPIs and metrics
• A/B testing and causal analysis
• Strong analytical and problem-solving skills with attention to detail
• Clear written and verbal communication skills
  Ability to work collaboratively in cross-functional and consulting-style environments
• Interest in learning about data governance, privacy, and security best practices

Perks and Benefits

• Comprehensive Health & Wellness Benefits Package
• Retirement Planning
• Parental Leave Program
• Flexible Working Hours
• Work from Home Flexibility
• Service Recognition Programs
• Socials, Outings & Retreats
• Culture of Learning & Development

Bonus Points

Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses, make sure to highlight this experience in your cover letter if you have!

Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.

The estimated compensation for this position is $75,000 to $100,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.

#LI-Hybrid

Who We Are

Konrad is a next-generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard-working people who are lifelong learners.

About The Role

As a Senior Data Analyst, you are an experienced analytics professional who leads analytical initiatives and partners directly with stakeholders to shape data-informed strategy. You drive the design and delivery of analytics and reporting solutions that enable clients to understand performance, identify opportunities, and make confident business decisions.

You work closely with consultants, data engineers, developers, designers and clients across multiple engagements. You own analytical problem-solving from discovery to delivery, mentor junior analysts, and help establish best practices across data modeling, experimentation, and reporting.

You are curious, pragmatic, and comfortable navigating ambiguity. You translate complex business problems into structured analysis, proactively surface insights, and influence decisions through clear communication and thoughtful storytelling.

What You’ll Do

• Partner with client and internal stakeholders to define business questions, success metrics, and measurement strategies
• Lead analytical projects end-to-end including discovery, data validation, analysis, and presentation of recommendations
• Design and implement scalable dashboards and reporting frameworks for executive and operational decision-making
• Develop and maintain metric definitions, documentation, and analytics standards across engagements
• Perform deep-dive analyses to identify drivers, opportunities, and risks across product and business performance
• Design and evaluate A/B tests and experimentation strategies, including statistical interpretation and recommendations
• Collaborate with data engineers to design data models and ensure reliable, high-quality reporting layers
• Mentor junior analysts and review analytical work to ensure quality and rigor
• Communicate insights through clear narratives, visualizations, and executive-level presentations
• Identify and implement improvements to analytics workflows, governance, and data quality processes

Qualifications

• Minimum 4+ years of experience in a data analyst, business intelligence, product analytics, or consulting analytics role
• Strong SQL expertise and experience querying cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery)
• Proficiency in Python, R, or similar language for data analysis and automation
• Advanced experience with Business Intelligence and visualization tools (e.g., Looker, Tableau, Power BI)
• Strong understanding of data modeling, dimensional modeling, and analytics architecture concepts
• Experience defining KPIs, measurement frameworks, and decision metrics
• Hands-on experience designing and analyzing experiments (A/B testing, causal inference, statistical interpretation)
• Proven ability to independently structure ambiguous problems and deliver actionable insights
• Experience working directly with stakeholders and presenting to leadership audiences
• Strong written and verbal communication skills and ability to influence decisions
  Experience mentoring analysts or reviewing analytical work
• Familiarity with data governance, privacy, and security best practices

Perks and Benefits

• Comprehensive Health & Wellness Benefits Package
• Retirement Planning
• Parental Leave Program
• Flexible Working Hours
• Work from Home Flexibility
• Service Recognition Programs
• Socials, Outings & Retreats
• Culture of Learning & Development

Bonus Points

Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses, make sure to highlight this experience in your cover letter if you have!

Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.

The estimated compensation for this position is $105,000 to $115,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.

#LI-Hybrid

Who We Are

Konrad is a next-generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard-working people who are lifelong learners.

About The Role

As a Data Architect, you are a technically strong and curious problem-solver who applies expertise in data science, enterprise data architecture, system design, and data governance best practices to solve complex business challenges. You design and oversee the development of scalable, secure, and reliable data solutions, and can clearly communicate the value of your designs to both technical and business audiences.

You will collaborate closely with data engineers, analysts, product managers, and clients to design and deliver data & AI solutions that drive measurable impact. You are comfortable working with large databases, designing enterprise data systems, and contributing to AI-enabled products in strict regulatory environments. As a senior contributor on the team, you bring a strong foundation in data science, system design, and modern data tooling.

What You’ll Do

• Partner with clients and internal teams to identify opportunities where data science and machine learning can drive business value
• Explore, analyze, and prepare large datasets for modeling and experimentation
• Design, build, and validate statistical, predictive, and machine learning models
• Develop and deploy scalable data science and AI solutions in collaboration with engineering teams
• Evaluate model performance and continuously iterate to improve accuracy (including A/B testing and causal analysis)
• Lead data modernization & migration projects at large enterprises
• Communicate findings, methodologies, and recommendations clearly to technical and non-technical stakeholders
• Stay current with emerging data science, AI, and machine learning techniques and tools

Qualifications

• Minimum 5+ years of experience in a data science, machine learning, or solution architect roles
• Strong proficiency in Python (or similar) and experience with data science libraries and frameworks
• Solid foundation in statistics, probability, and machine learning techniques
• Experience designing and managing the build-out of  cloud-based data platforms and data warehouses (e.g., Snowflake, Databricks BigQuery, Redshift)
• Familiarity with model deployment, monitoring, and lifecycle management
• Experience with containerization (e.g., Docker) and building production APIs (e.g., FastAPI) and applications (e.g., Django or Flask).
• Experience collaborating with data engineering teams on production-grade solutions
• Strong problem-solving skills and the ability to frame ambiguous business problems into technology solutions and gaining stakeholder buy-in
• Excellent communication and presentation skills
• Experience working in agile, consulting, or cross-functional environments

Perks and Benefits

• Comprehensive Health & Wellness Benefits Package
• Socials, Outings & Retreats
• Retirement Planning
• Parental Leave Program
• Annual tech & travel allowance
• Culture of Learning & Development
• Flexible Working Hours
• Work from Home Flexibility
• Service Recognition Programs

Bonus Points

Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses, make sure to highlight this experience in your cover letter if you have!

Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.

The estimated compensation for this position is $120,000 to $150,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.

#LI-Hybrid

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Data Platform Developer who will be building the Geotab internal machine learning and generative AI platform. This role allows all Geotab data scientists and generative AI developers to explore, train, and build machine learning models, gain access to underlying Large Language Models, and build GenAI agent applications for internal services and end customers in production. If you love technology, and are keen to join an industry leader — we would love to hear from you! 

What you'll do:

As a Senior Data Platform Developer, your key area of responsibility will be developing and maintaining new machine learning platforms and managing generative AI applications and agents. You will be responsible for implementing logging, monitoring, and alerting services to ensure the health of Geotab’s AI platform infrastructure, as well as enriching big data with telematics data at scale. You will need to work closely with Geotab’s data scientists and internal teams to understand data processing needs and assist with data integration for newly developed AI platforms. To be successful in this role, you will be a self-starter who is keen to join an industry leader and enjoys working with complex, technical AI concepts.

How you'll make an impact

• Develop and maintain new machine learning platforms managing the machine learning models and generative AI applications and agents.
• Develop processes and implement logging, monitoring, and alerting services to ensure the health of Geotab’s AI platform infrastructure.
• Develop processes to enrich Geotab’s big data with telematics data at scale.
• Work with data scientists to understand data processing needs and develop infrastructure solutions to support these initiatives.
• Create and maintain documentation for architecture, requirements, and process flows.
• Support internal Geotab teams to assist with data integration with newly developed AI platforms.

What you'll bring to the role

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Data Platform Developer who will be building the Geotab internal machine learning and generative AI platform. This role allows all Geotab data scientists and generative AI developers to explore, train, and build machine learning models, gain access to underlying Large Language Models, and build GenAI agent applications for internal services and end customers in production. If you love technology, and are keen to join an industry leader — we would love to hear from you! 

What you'll do:

As a Senior Data Platform Developer, your key area of responsibility will be developing and maintaining new machine learning platforms and managing generative AI applications and agents. You will be responsible for implementing logging, monitoring, and alerting services to ensure the health of Geotab’s AI platform infrastructure, as well as enriching big data with telematics data at scale. You will need to work closely with Geotab’s data scientists and internal teams to understand data processing needs and assist with data integration for newly developed AI platforms. To be successful in this role, you will be a self-starter who is keen to join an industry leader and enjoys working with complex, technical AI concepts.

How you'll make an impact

• Develop and maintain new machine learning platforms managing the machine learning models and generative AI applications and agents.
• Develop processes and implement logging, monitoring, and alerting services to ensure the health of Geotab’s AI platform infrastructure.
• Develop processes to enrich Geotab’s big data with telematics data at scale.
• Work with data scientists to understand data processing needs and develop infrastructure solutions to support these initiatives.
• Create and maintain documentation for architecture, requirements, and process flows.
• Support internal Geotab teams to assist with data integration with newly developed AI platforms.

What you'll bring to the role

Why job seekers choose Geotab

Why job seekers choose Geotab:

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Product Manager who will lead fuel resource management solutions, which are critical for reducing operational costs for our fleets. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Product Manager, your key area of responsibility will be managing the end-to-end user experience for Optimization and Efficiency Solutions, specifically focusing on Fuel Transactions, Fill-ups, and IFTA reporting. You will need to work closely with Product Marketing, Solutions Delivery, Software and Embedded Development, and Data Science teams to solution and advocate for resources. To be successful in this role, you will be a strategic self-starter with empathy for customer pain points and the ability to grasp complex technical concepts quickly. In addition, the successful candidate will have strong analytical skills to conduct product discovery, leverage data for story building, and manage projects from start to finish within the technical product development space.

How you'll make an impact:

• Product research / discovery with customers, leverage internal folks' for product feedback and access to customers.

• Deep technical, market, policy understanding for fleet operations, especially around fuel tax, EV charging, and general energy resource optimization (reduction) strategies.

• Responsible for improving the user experience on: Fuel Transactions, Fill-ups, IFTA Reporting, and Driver Logbook Suite.

• Work with Product Marketing, Solutions Delivery, and all adjacent technical teams from start to finish.

• Advocate for resources and prioritization when needed to deliver customer and business needs.

• Leverage research and existing product architecture to solution along with Data Science, Software, Firmware, etc. 

• Maintain existing product suite and adopt customer feedback.

What you'll bring to the role:

• 3-5 years of professional experience in technical product development, stakeholder management, or enterprise sales.

• Experience in Product Management, Project Management, or Software Development is highly valued. 

• Proficiency in AI tools (Claude, Gemini, Codex) for data exploration, story building, and code development. 

• Technical proficiency in Jira, Salesforce, and Google Suite; experience with BigQuery and GitLab is an asset. 

• Familiarity with IoT, SaaS, or Telematics industries (Automotive, Trucking, OEM, or Telco) is a plus. 

• Ability to travel up to 25% of the time (approximately 6 weeks per year). 

• Bachelor’s degree in a related field or equivalent professional experience.

Why job seekers choose Geotab:

Why job seekers choose Geotab:

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Cloud Automation Engineer who will be responsible for managing and monitoring the performance of the server infrastructure on the public cloud—specifically Google Compute Engine—as part of the Cloud Automation team. The projects will vary in scope, complexity, and affected business area. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you’ll do:

As a Senior Cloud Automation Engineer, your key area of responsibility will be creating automated infrastructure management systems, written primarily in Python and Powershell, while overseeing complex Cloud Automation/DevOps projects. You will be responsible for the implementation of the project tasks, such as designing and building software to maintain IaaS solutions, as well as managing day-to-day activities like system-level tuning and debugging. You will also need to provide regular status reports to key partners to ensure the project is on time and meeting expectations. You will need to work closely with internal technical teams, such as Software, Engineering Support, and Database Administration, as well as collaborate in a cross-functional team with senior engineers.

To be successful in this role you will be a strong team-player with strong written and verbal communication skills, and have the ability to quickly understand complex, technical concepts. In addition, the successful candidate will have strong analytical and project management skills with an ability to identify needs, develop effective solutions, and manage projects through completion. The successful candidate will also be able to manage multiple timelines and contrasting priorities to ensure timely results.

How you’ll make an impact:

• Design and build software to deploy, configure, and maintain IaaS solutions for internal and customer-facing applications.

• Build out automation tools and work with public cloud APIs to enhance infrastructure efficiency.

• Review Cloud Automation/DevOps monitoring tools and develop rapid detection and response systems.

• Perform system-level tuning and debugging in public cloud or containerized environments.

• Create and maintain documentation regarding configuration, processes, and security while contributing to the departmental WIKI.

• Utilize Big Data tools for large-scale log collection, analysis, and dashboard creation.

What you’ll bring to this role:

• 5+ years of experience in software development.

• Specialized expertise in programming languages (Python, C#, or Java) and scripting languages (Powershell or Bash).

• Proven experience with cloud computing platforms such as GCP, AWS, or Azure.

• Working knowledge of databases, SQL, and Big Data tools; experience with Postgres or Google BigQuery is a strong asset.

• Highly organized self-starter able to work well under pressure and manage multiple tasks simultaneously.

• Entrepreneurial mindset with the flexibility to adapt to growing technology and market demands.

• Professional certifications such as Google Cloud Certified, Professional Cloud Architect, or AWS Certified are considered an asset.

Why job seekers choose Geotab:

Why job seekers choose Geotab:

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking an AI Agent Developer who will design, build, and maintain AI-powered "skills" — modular, executable agents that integrate with enterprise systems and surface through a shared internal agent platform. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As an AI Agent Developer, your key area of responsibility will be contributing to both the core platform and the growing ecosystem of agents deployed across the organization, and playing a meaningful role in shaping the standards and practices that enable other teams to build their own agents. You will need to work closely with business units to identify high-value automation opportunities, as well as collaborate with security, compliance, and data governance teams to ensure agents operate within established guardrails.

To be successful in this role you will be a self-directed communicator who is comfortable operating with autonomy in a fast-moving, platform-oriented environment and able to explain agent capabilities to both technical and non-technical stakeholders. In addition, the successful candidate will have sound software engineering fundamentals with the ability to scope ambiguous problems, ship iteratively, and balance quality with delivery speed to ensure timely results.

How you'll make an impact:

• Design and build production AI agent skills in Go (and Python where appropriate), following established skill architecture patterns and platform conventions.
• Integrate agents with enterprise systems including data warehouses, ticketing systems, source control, observability platforms, and internal APIs.
• Contribute to the core agent platform: runtime management, skill lifecycle, credential handling, multi-model AI support, and build tooling.
• Define and enforce best practices for skill development, packaging, distribution, and CI/CD — and help other teams adopt them.
• Partner with business units to identify high-value automation opportunities and translate them into well-scoped, production-ready agent solutions.
• Maintain the skill ecosystem: versioning, dependency management, cross-platform compilation, and runtime distribution.
• Build tooling and documentation that empowers other developers to contribute skills and reduce the burden on the core team.
• Monitor deployed agents, gather user feedback, instrument performance, and drive continuous improvement cycles.
• Collaborate with security, compliance, and data governance teams to ensure agents operate within established guardrails.
• Stay current with LLM capabilities, prompt engineering advances, agentic frameworks, and relevant open-source tooling — and evaluate their applicability to the platform.
• Contribute to the internal AI agent developer community through knowledge sharing, workshops, and direct guidance to other teams.

What you'll bring to this role:

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
• 4+ years of software engineering experience; hands-on experience in Go is strongly preferred, with Python as a secondary language.
• Demonstrated experience building and deploying AI-driven applications, automations, or agents, including experience with LLM APIs (Claude, Gemini, GPT, or similar).
• Solid understanding of CLI tooling, binary distribution, and cross-platform build systems.
• Experience with enterprise system integration via REST APIs (Jira, GitLab, BigQuery, Salesforce, etc.).
• Familiarity with agentic patterns: tool use, multi-step reasoning, context management, prompt engineering, and output validation
• Strong communication skills with a genuine enthusiasm for AI and its practical application to real business problems.

Why job seekers choose Geotab:

Job Summary: 

We are seeking a highly skilled and self-motivated Senior Embedded DevOps Engineer to support our engineering  teams. This role will focus on driving changes and ensuring adherence to company-established standards for data infrastructure and CI/CD pipelines. The ideal candidate will have strong experience working with AWS and/or GCP,  cloud-based data streaming and processing services, containerized application deployments, infrastructure automation, and Site Reliability Engineering (SRE) best practices for performance and cost optimization.

What You'll do:

• Drive initiatives to implement and enforce best practices for data streaming, processing, analytics and monitoring infrastructure.
• Deploy and manage services on Kubernetes-based platforms such as Amazon EKS and Google Kubernetes Engine (GKE).
• Provision and manage cloud infrastructure using Terraform, ensuring best practices in security, scalability, and cost-efficiency.
• Maintain and optimize CI/CD pipelines using Jenkins, ArgoCD, and GitHub Enterprise Actions to support automated deployments and testing.
• Work with cloud-native data services such as AWS Kinesis, AWS Glue, Google Dataflow, and Google Pub/Sub, BigQuery, BigTable
• Familiarity with  workflow orchestration services such as Apache Airflow and Google Cloud Composer.
• Develop and maintain automation scripts and tooling using Python to support DevOps processes.
• Monitor system performance, troubleshoot issues, and implement proactive solutions to enhance reliability and efficiency.
• Implement SRE practices to improve service reliability, scalability, and cost-effectiveness.
• Analyze and optimize cloud costs, identifying areas for improvement and implementing cost-saving strategies.
• Ensure compliance with security policies and best practices in cloud environments.
• Drive adoption of company standards and influence data teams to align with best DevOps and SRE practices.
• Collaborate with cross-functional teams to improve development workflows and infrastructure.

What you bring:

• 7+ years of experience in a DevOps, Site Reliability Engineering, or Cloud Infrastructure role.
• Strong experience with AWS and GCP data services, including Kinesis, Glue, Pub/Sub, and Dataflow.
• Proficiency in deploying and managing workloads on Kubernetes (EKS/GKE) in production environments.
• Hands-on experience with Infrastructure-as-Code (IaC) using Terraform.
• Expertise in CI/CD pipeline management using Jenkins, ArgoCD, and GitHub Enterprise Actions.
• Programming skills in Python for automation and scripting.
• Experience with observability and monitoring tools (e.g., Prometheus, Grafana, Datadog, or CloudWatch).
• Strong understanding of SRE principles, including performance monitoring, incident response, and reliability engineering.
• Experience with cost optimization strategies for cloud infrastructure.
• Self-motivated and driven, with a strong ability to influence and drive changes across multiple teams.
• Ability to work collaboratively in an agile environment and support multiple teams. 

Preffered Qualifications:

• Experience with data lake architectures and big data processing frameworks (e.g., Apache Spark, Flink, Snowflake, BigQuery).
• Familiarity with event-driven architectures and message queues (e.g., Kafka, RabbitMQ).
• Experience with workflow orchestration tools such as Apache Airflow and Google Cloud Composer.
• Knowledge of service mesh technologies like Istio.
• Experience with GitOps workflows and Kubernetes-native tooling.

#LI-SK1

#LI-Hybrid

WHAT YOU'LL DO

Join the AI Platform team at Braze to build and scale BrazeAI Decisioning Studio - a reinforcement learning platform at the forefront of AI Decisioning. The platform runs continuous experimentation and personalizes customer engagement at the individual level, helping brands move from rule-based campaigns to autonomous, self-optimizing interactions. You'll work at the intersection of cloud-native infrastructure, data-intensive systems, and machine learning in production.

Main responsibilities:

• Build and maintain critical services and subsystems on our AI platform, balancing performance with cost-effective operations
• Implement cloud-native solutions that ensure reliability, scalability, and fault tolerance
• Troubleshoot production incidents end-to-end, going deep to identify root causes and implement durable fixes
• Contribute to observability practices using Sentry and Datadog to proactively detect issues and minimize downtime
• Collaborate with data scientists, ML engineers, and product teams to translate real-world use cases into platform capabilities
• Improve developer experience by streamlining workflows, enhancing tooling, and supporting MLOps best practices

Tech stack:

• Core Data & ML: Python, Ibis, FastAPI, Dataproc (Spark), SQL, BigQuery, MLflow, Streamlit
• Platform & Infrastructure: Google Cloud Platform, AWS, Kubernetes, Helm, Terraform
• Workflows & Orchestration: Airflow, RabbitMQ, Celery
• CI/CD: GitHub Actions, Jenkins
• Observability: Sentry, Datadog

Why this role:

• Production ML at scale: no toy datasets or notebook demos; you’re building infrastructure that powers real AI workloads
• Engineering rigor: unit and integration tests, modular design, CI/CD, pair programming, and code reviews are how we work, not aspirations
• Learn continuously: deep exposure to ML system architecture, end-to-end ML workflows, and reinforcement learning systems

WHO YOU ARE

• 2-4 years of experience in platform engineering, infrastructure, or a related backend role
• Solid understanding of platform architecture, particularly in ML or data-intensive environments
• Hands-on experience with Kubernetes and cloud infrastructure (GCP preferred)
• Ability to troubleshoot complex distributed systems under pressure
• Writes clean, modular code with a focus on testable APIs and maintainable design
• Experience working with AI coding assistants. Understands effective prompting strategies and can articulate when these tools add value versus when they're not appropriate
• Clear communicator who can work across technical and non-technical stakeholders
• Proactive problem solver who identifies issues and works around obstacles without waiting for direction

For candidates based in Ontario, the pay range for this position at the start of employment is expected to be between CA$125,280 and CA$235,736/year with an expected On Target Earnings (OTE) between CA$139,200 and CA$258,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

The Role

As a Technical Delivery Project Manager, you support the successful execution of internal technical workstreams required for customer delivery. You serve as the day-to-day liaison between internal technical teams (e.g., Data Engineering, Data Science, Integrations, R&D) and the customer-facing delivery team. You coordinate technical requirements, gather inputs from customers, help translate requirements into internal technical tasks, manage supporting documentation, and ensure technical deliverables are completed on time.

In this role, you work closely with the Delivery Lead and functional technical leads to ensure alignment, visibility, and smooth execution of technical dependencies. You apply strong working knowledge of tools like Jira and foundational technical literacy to understand and communicate risks, issues, and timelines. You operate with growing independence while receiving guidance for complex or ambiguous matters.

One specific area of responsibility is to manage League’s customer-facing data product called Analytics Objects (AOs), which is a recurring data export of complex KPIs configured to meet a wide range of customer requirements. Your responsibilities include:

In this role, you are expected to:

Technical Workstream Coordination

• Coordinate technical tasks and dependencies across Data, Engineering, R&D, and other internal technical teams.
• Translate customer requirements into clear Jira tickets or internal work items.
• Maintain visibility into task progress, blockers, and timelines.

Manage Data Products 

• Coordinate launch of Analytics Objects (AOs) and other data products to customers.
• Manage the configuration of AOs and other data products to suit customer use cases.
• Manage customization requests and recommend existing solutions to customers as needed. Coordinate with product managers on custom solutions.

Customer Engagement & Requirements Gathering

• Attend customer-facing technical requirement meetings as a supporting point of contact.
• Document technical requirements and ensure internal technical teams understand expected outcomes.
• Communicate updates, risks, and next steps back to customer-facing stakeholders.

Jira & Tooling Ownership

• Support maintaining Jira boards, grooming tasks, updating statuses, and ensuring accurate workflow progression for tasks related to customer delivery.
• Support reporting on technical delivery progress and timelines.

Risk & Issue Management

• Identify and flag risks or blockers related to technical workstreams.
• Escalate issues to the Delivery Lead or technical leads as needed.

Technical Delivery Support

• Support internal test cycles, data validation activities, and technical documentation requirements.
• Understand and articulate the impact of deviations from standard practices.

Process & Documentation

• Maintain technical requirement documentation, task tracking, and workstream-level artifacts.
• Contribute feedback to help improve technical delivery processes and tooling.

About You:

• 3+ years in SaaS technical coordination, technical support, or data operations.
• Working knowledge of data platforms (Airflow, BigQuery, Looker, or similar).
• Strong proficiency with Jira for workflow tracking and ticket management.
• Foundational understanding of SaaS architectures, APIs, data pipelines, or ETL.
• Experience collaborating with Data teams, R&D, or technical SMEs.
• Experience managing projects with complex technical dependencies.

What We Offer

• Comprehensive Health Benefits: We prioritize your well-being with complete medical, dental, and vision coverage
• Bonus Program: Be rewarded for your contributions with our performance-based bonus program
• Employee Stock Option Program: Become an owner and share in our success through our stock option program
• Unlimited Paid Time Off: Take the time you need to recharge and maintain a healthy work-life balance
• Spending Accounts: Manage your healthcare and dependent care expenses with tax-advantaged spending accounts
• Wellness Days: Prioritize your mental and physical health with dedicated wellness days throughout the year
• Growth Opportunities: We invest in your future with abundant opportunities for professional development and advancement
• Mentorship Program: Benefit from guidance and support from experienced leaders in your field

Security-related Responsibilities

• Compliance with Information Security Policies
• Compliance with League’s secure coding practice
• Responsibility and accountability for executing League's policies and procedures
• Notification of HR, Legal, Compliance & Security of any incidents, breaches or policy violations

Please note: We’re always excited to connect with exceptional talent. This posting is part of our proactive talent community efforts. While there may not be an immediate opening, we review applications on an ongoing basis and reach out as opportunities arise.

• Use AI tools as part of your daily workflow to enhance productivity, problem-solving, and decision-making (e.g., drafting, analysis, coding, research, or process automation)
• Apply judgment and accountability when using AI by reviewing outputs for accuracy, bias, and quality before use
• Continuously learn and adapt as new AI tools and capabilities emerge, incorporating them into your ways of working
• Identify opportunities to improve how work gets done from personal productivity to team-level workflows by leveraging AI effectively
• Operate with strong data responsibility and security awareness, especially when working with sensitive or regulated information

• Individual Contributors: Use AI to improve personal productivity and quality of output
• Senior ICs / Managers: Integrate AI into team workflows and improve processes
• Leaders: Drive AI adoption at the organizational level and shape how work is done across teams

• Demonstrated experience using AI tools in a practical, responsible way
• Curiosity and openness to experimenting with new technologies
• Ability to balance efficiency with quality and sound judgment

Location

This role requires working from the downtown Toronto office 4 days/week (Mon, Tues, Thurs, Fri). Candidates must be based within a 50-mile commuting distance of the office. 

About the Role

As a Finance Automation Lead at Opendoor, you will join the Finance team reporting to the President of Opendoor with a mandate to 10x our data leverage across Finance. This is a high-impact IC role at the intersection of data architecture, AI engineering, and financial systems.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it. You are a builder with a product mindset who will help transform Finance from a service function into a product—one that delivers real-time insights, automated workflows, and self-service capabilities to every team at Opendoor. You understand how LLMs work, you’ve built agents, and you understand how finance data can be leveraged and structured with these models. 

Build AI-Powered Finance Infrastructure

• Design and deploy AI agents that automate data fetching, analysis, reporting, and forecasting workflows

• Architect data pipelines connecting financial planning systems (Adaptive) to Snowflake and downstream applications

• Build semantic layers that enable non-technical finance team members to access data through natural language

Create Finance Tools & Products

• Develop internal tools that transform manual finance processes into automated, scalable products

• Build dashboards and self-service interfaces that eliminate analyst bottlenecks

• Create systems that enable managers to answer their own headcount, budget, and forecast questions without finance intervention 

Own Data Architecture for Finance

• Organize finance data for best-in-class LLM capabilities

• Design data models that support automated analysis, real-time querying, and AI agent interactions

• Establish data quality frameworks and governance for financial systems

Drive Automation at Scale

• Identify high-value automation opportunities across Finance (accruals, reporting, forecasting, variance analysis)

• Implement workflow automation using tools like Gumloop, Claude, and custom-built agents

• Measure and improve automation accuracy, reducing manual intervention over time

What You Will Bring

Technical Foundation

• At least 3+ years of experience building data systems in a finance, analytics, or data engineering role

• Track record of building and deploying AI agents or LLM-powered applications in production environments

• Advanced SQL proficiency with ability to design complex data models and optimize query performance

• Production experience with Python for data engineering, automation, and AI agent development

• Hands-on experience with modern data warehouses (Snowflake, BigQuery, or similar)

AI & Automation Expertise

• Deep understanding of LLM capabilities, limitations, and prompt engineering best practices

• Experience architecting semantic layers or natural language interfaces for data access

• Familiarity with AI orchestration frameworks (LangChain, LlamaIndex, or similar)

• Proven ability to identify high-ROI automation opportunities and implement end-to-end solutions

• Experience with workflow automation tools and API integrations

Data Architecture & Systems Design

• Strong data modeling skills with focus on enabling both human analysts and AI agents

• Experience designing data pipelines that connect planning systems (like Adaptive, Anaplan) to data warehouses

• Understanding of data governance, quality frameworks, and metadata management

• Ability to architect scalable systems that reduce analyst bottlenecks and enable self-service

Product & Business Mindset

• Builder mentality with ability to ship functional products, not just analyses

• Experience translating messy business problems into clean technical solutions

• Strong stakeholder management skills with ability to influence senior finance leadership

• Comfort working in ambiguous, fast-moving environments with evolving requirements

• Systems thinking approach to understanding complex problems and their root causes

Bonus points if you have:

• Experience in fintech, real estate tech, or high-velocity transaction businesses

• Background in financial planning & analysis (FP&A) or corporate finance

• Familiarity with finance-specific tools (Adaptive Insights, NetSuite, etc.)

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

 #LI-DM

#LI-Onsite

Location: Remote (US or Canada)
Type: US Applicants - Full-Time; Canadian Applicants - Independent Contractor

About Us

We’re scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth.

We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don’t insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time.

Our clients’ missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact.

Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down.

We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are at and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation.

And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same.

About the role

We’re hiring a Product Lead to join our team and embed directly inside one of our client organizations — a leader in design-build. This role is for a hands-on product builder who thrives on embedding with teams, understanding their workflows, and delivering AI-powered software that drives real value. 

This is not a “strategy-only” role. You’ll spend your time with users, engineers, and executives alike — uncovering needs, setting priorities, and getting solutions shipped. You’ll bring modern product practices into a complex, real-world industry, while raising the bar for excellence in how software gets built.

What you’ll do

Discovery & Prioritization

• Embed with client teams to observe workflows, run discovery, and translate insights into actionable software requirements.
  
  
• Develop and apply structured prioritization methods (balancing user value, business outcomes, and technical feasibility) to guide trade-offs.
  
  
• Keep teams focused on the highest-leverage opportunities, not just the loudest requests.
  
  

Delivery & Execution

• Scope projects with realistic estimates and clear milestones that deliver value early and often.
  
  
• Know how to ship a prototype, gain feedback, iterate to value, and release production-grade solutions.
  
  
• Lead small pods of engineers and operators to ship high-quality, on-time solutions.
  
  
• Facilitate leadership updates and reporting, ensuring execs are aligned and confident in progress.
  
  
• Above all, be able to roll up your sleeves to solve the problem in a way that advances us and the organization.
  
  

AI & Technical Fluency

• Work directly with APIs, data pipelines, and AI models to shape and validate solutions.
  
  
• Partner with engineers to design and ship AI-driven tools that fit seamlessly into existing workflows.
  
  
• Establish best practices for evaluating tools — weighing accuracy, usability, and long-term fit.
  
  
• Stay current on AI capabilities and help translate them into practical applications inside the client’s environment.
  
  

Culture & Excellence

• Raise the bar for product craft, from clear scopes to clean communication and transparent evaluations that anyone can quickly understand.
  
  
• Codify lessons into playbooks so the client builds lasting product capability.
  
  
• Build a culture of excellence: sharing wins, measuring outcomes, celebrating progress, and owning areas of improvement.
  
  

Minimum qualifications

• 8+ years of product management experience, ideally building tools for complex workflows or mission-critical environments.
  
  
• Proven ability to balance discovery and delivery — finding the right problems and shipping solutions that stick.
  
  
• Experience leading small engineering teams or pods with high accountability.
  
  
• Consulting mindset: able to embed inside client organizations, guide practices, and earn trust quickly.
  
  
• Excellent communicator who can flex for end users, engineers, and executives.
  
  
• Comfortable working with APIs and data pipelines — able to shape requirements, validate inputs, and build against structured data.
  
  

• Experience with modern data platforms, ideally Snowflake (or equivalent warehouses like BigQuery, Redshift).
  
  
• Able to make smart build choices with AI — knowing when to call APIs, when to use custom GPTs, and how to combine them into solutions that actually work for teams.
  
  
• Operates confidently in cloud environments, especially Microsoft Azure and AWS ecosystems.
  
  
• Bonus: familiarity with enterprise integrations (e.g. Tableau) to connect insights into user workflows.
  
  
• Above all, be someone that people admire, because you’re having fun doing great work.
  
  

Why this role is different

Most product roles optimize features in a SaaS app. This one is about embedding with real teams across architecture, engineering, and construction, understanding how they work, and building AI-powered tools that change how projects get designed and delivered in the real world. You’ll see your work land quickly, and you’ll set the playbook for how we approach product for years to come. 

Equal Opportunity Commitment

Human Agency is an Equal Opportunity Employer. We value diverse backgrounds and strive to build an inclusive culture where everyone feels welcomed and empowered.