About this role

As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the technical bridge between data science and production engineering.  You’ll be joining a small but deeply critical team that scales Faire’s ability to support tens of thousands of local businesses in a constantly narrowing retail landscape.

What You Will Do

• Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows
• Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows
• Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most critical models
• Implement Unity Catalog for data governance, lineage, access control, and secure multi-tenant usage
• Build CI/CD pipelines for ML using Terraform and Git-based workflows (e.g., GitHub Actions)
• Optimize performance, reliability, and cost across training and inference workloads
• Configure Identity and Access Management (IAM) and Role Based Authentication Controls (RBAC) for sensitive data sets
• Establish observability for data quality, model performance, and platform health
• Build and maintain ML Platform technical documentation

What it takes

• 8+ years of experience building production ML or data platforms
• A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
• Strong hands-on expertise with Databricks, Spark, Delta Lake, and MLflow.
• Proficiency in Python, SQL, and distributed systems concepts
• Experience with cloud platforms and infrastructure-as-code
• Solid understanding of MLOps best practices: CI/CD, monitoring, reproducibility, and security
• Experience supporting multiple ML teams in a shared platform environment
• Are an active owner of orphaned problems and are willing to assimilate whatever knowledge you’re missing to get the job done

Tech Stack

Faire uses a modern cloud based tech stack.  For this role, you’ll want to be proficient with the following:

Salary Range

Canada: the pay range for this role is $216,000 to $297,000 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

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 We Are

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

About The Role

As a Senior Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions.

What You’ll Do

• Design, build, and manage robust data pipelines and data architectures.
• Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake.
• Optimize data workflows, ensuring reliability, scalability, and performance.
• Collaborate with internal stakeholders to understand data needs and deliver tailored solutions.
• Ensure data security and compliance with industry standards and best practices.
• Perform data modelling, data extraction, transformation, and loading (ETL/ELT).
• Identify and recommend innovative solutions to enhance data quality and analytics capabilities.

Qualifications

• Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
• 4+ years of professional experience as a Data Engineer or similar role.
• Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake.
• Hands-on experience with data pipeline tools, cloud services, and storage solutions.
• Strong programming skills in SQL, Python, or related languages.
• Experience with big data technologies and concepts (Spark, Hadoop, Kafka).
• Excellent analytical, troubleshooting, and problem-solving skills.
• Ability to effectively communicate technical concepts clearly to non-technical stakeholders.

Nice to have

• Certifications related to Azure Data Engineering, Databricks, or Snowflake.
• Familiarity with DevOps practices and CI/CD pipelines.

Perks and Benefits

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

Bonus Points

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

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

The estimated compensation for this position is $120,000 to $145,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.

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

#LI-Hybrid

About the Team

The Ad sales team is responsible for the advertising vision, development and growth of our largest advertising partnerships. This is a newly created team, seeking founding members to build an industry-leading ads and promotions business across DoorDash’s core categories, starting with CPG brands. The growing DoorDash ads business will quickly become the single best place for merchants and brands to market to local customers, in an ecosystem that benefits all parties.

About the Role

As a Partnerships Manager, you will build partnerships that create tangible value for both DoorDash and advertisers. In this role, you will manage the ads strategy across a focused portfolio of accounts, and drive adoption of our growing ads and promotions offering. You will also work cross-functionally with business development, marketing, strategy & operations, analytics, and product to innovate on our future approach and solutions. 

You’re excited about this opportunity because you will…

• Be part of the growing DoorDash Ads & Promos team
• Lead end-to-end marketing conversations across a portfolio of consumer packaged goods (CPG) advertisers
• Oversee the strategy for engaging with and selling to our largest partners
• Steer the development, adoption and scaling of CPG revenue
• Drive product/feature adoption, and ultimately grow advertiser value and sustainable revenue for DoorDash
• Represent advertiser needs to influence our Ads & Promos product roadmap and go to market strategy
• Manage a robust sales pipeline and create annual and quarterly plans to achieve ambitious goals
• Co-develop pitch materials and processes to enable future scale of the team and business
• Develop long-term business plans alongside our partners for their multi-channel customer strategies
• Maintain pitch decks and sales content to help produce new business opportunities
• Create marketing campaigns; own post-campaign reporting
• Work with partners across DoorDash to align companywide resources to help build-out our partners' digital businesses
• Mentor and manage account managers

We’re excited about you because…

• Have 6+ years of experience working in an account management role 
• You have 3+ years leading teams and people management
• You’re an expert in using data and insights to inform recommendations, rooted in advertiser objectives and business priorities
• You know the basics of digital ads measurement - from attribution to funnel metrics
• You have strong written/verbal communication and presentations skills, and experience operating across several levels of an organization
• You diligently manage a sales pipeline and can juggle both short- and mid-term impact
• You're a builder at heart, passionate about creating processes, laying strong foundations, and developing playbooks.
• Impact Motivated -- You have a natural desire to improve the overall business
• Curious -- You love digging into low levels of detail to extract insights
• Strategic -- You love to find the win-win in novel agreement structures to grow business with partners
• Diverse -- You are happy juggling many priorities concurrently
• Bachelor's degree required, MBA or Masters Degree a plus
• Business Development and/or Partnerships experience
• Experience with Analytics and Presentation tools
• You have proficiency in analytics and visualization tools (e.g., Snowflake, Sigma, etc.)

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

This will be a remote role to start, with plans to transition to hybrid in-office 2x/week located in downtown Toronto.

About OpenTable:

With millions of diners, 60,000+ restaurant partners and 25+ years of experience, OpenTable, part of Booking Holdings, Inc. (NASDAQ: BKNG), is an industry leader with a passion for helping restaurants thrive. Our world-class technology empowers restaurants to focus on what matters most – their team, their guests, and their bottom line – while enabling diners to discover and book the perfect restaurant for every occasion.

Every employee at OpenTable has a tangible impact on what we do and how we do it. You’ll also be part of a global team and its portfolio of metasearch brands. Hospitality is all about taking care of others, and it defines our culture.

The Role

Reporting to the Manager, Revenue Strategy and Operations, this position is responsible for supporting a variety of sales and services related programs, initiatives, and analytics in North America. Candidates for this role must have experience manipulating large sets of data to discover trends and make recommendations. The role will work cross-functionally with multiple departments including executive leadership, sales, marketing, operations, finance, engineering, and data analytics to support the design, implementation and continued optimization of multiple business needs. This includes delivering data-driven insights to internal partners to inform short and long term strategy and action plans. The ideal candidate will be able to recognize and understand the relationship between clean data, clear & efficient processes, and reporting.

The Sr. Analyst level position is expected to have an excellent understanding of the OpenTable Sales and Services and Marketing organization, the ability to learn quickly, and to be able to work in ambiguity. You'll be able to navigate the roles, reporting, and reality of the business in the field. This position needs to have excellent communication, project management and data analysis skills and be comfortable building recommendations and owning stakeholder relationships. Experience with Salesforce, SQL queries, BI tools (Preset, Tableau, Power BI, Looker) and a finance, analytics or strategy background highly preferred.

Responsibilities

• Sophisticated analytics to support global Sales, Services, and Marketing decisions, including recurring monitoring of key performance metrics and the health of specific business segments
• Prepare and present analyses and narratives for audiences ranging from field sales to senior leadership
• Translate data sets into impactful insights, recommendations, dashboards, and reports for the larger sales, marketing and operations teams
• Cultivate and manage strategic relationships with various sales leaders, partnering with them to drive key initiatives and measurable results across diverse business segments
• Manage flow of inbound requests from the Global Restaurant Sales and Services (RSS) team for various ad hoc analyses, reporting needs, process and system enhancement requests
• Partner with Salesforce and BI teams to implement process and data optimizations
• Build and maintain financial models, forecasts and dashboards for various business scenarios
• Salesforce.com (SFDC) data stewardship and improvement; dashboard and report creation and upkeep; end user support and documentation management

Skills

• 3-5+ years of experience in analytics and at least 2 years of experience leading Analytics efforts with an organization
• Experience with Snowflake or any other relational database
• Strong SQL skills + Experience with design and development of ETL processes
• Advanced proficiency with data visualization tools (e.g., Preset, PowerBI, Tableau) to build self-serve dashboards
• Advanced Excel/Google Sheets skills (e.g., pivot tables, V/XLOOKUP, INDEX/MATCH) required
• Operational experience in measuring and improving efficiency, utilization, scale initiatives, etc
• Proactive, advanced user of AI and automation tools (e.g., generative AI, code copilots, workflow automation) to accelerate analysis, improve quality, and operationalize repeatable workflows.
• Experience with Google Platforms: Google Analytics, Google Ads, Google Search a plus
• Strong preference for experience with marketplace dynamics and pricing analysis (e.g., pricing, discounting, yield analysis)
• Strong data quality and debugging mindset; ability to reconcile results and resolve issues with BI/Engineering
• Proven ability to effectively manage multiple stakeholders
• Strong verbal and written communication skills, including detailing business processes and requirements
• Excellent analytical, reporting, problem-solving, negotiation, and project coordination skills
• Experience with LTV/CAC, commission/incentives, and sales territory management a plus
• Experience with Google Platforms (Google Analytics, Google Ads, Google Search) a plus
• Understanding of sales process within OpenTable, or equivalent sales process experience
• Quick-thinking, self-starter with a strong sense of ownership and ability to manage competing priorities in a fast-paced environment
• High energy, growth mindset, and strong sense of curiosity; willingness to take on tough projects

Benefits and Perks

• Work from (almost) anywhere for up to 20 days per year
• Focus on mental health and well-being:
  • Company-paid therapy sessions through SpringHealth
  • Company-paid subscription to Headspace
  • Annual company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
• Paid parental leave
• Generous paid vacation + time off for your birthday
• Paid volunteer time
• Focus on your career growth:
  • Development Dollars
  • Leadership development
  • Access to thousands of on-demand e-learnings
• Travel Discounts
• Employee Resource Groups
• 20 days of paid time off
• Private health and dental insurance
• Life and Disability insurance

The expected range of compensation for this position based in Toronto, Canada, including commission and/or bonuses, is $84,000-$95,000 CAD. There are a variety of factors that go into determining a compensation range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required.

We offer a competitive base salary and benefits including: health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays); and parental leave benefits. This role is eligible to be considered for an annual bonus.

Work Environment & Flexibility

At OpenTable, we pride ourselves on fostering a global and dynamic work environment. As a team member with us, you will benefit from a schedule tailored to accommodate a global workforce operating across multiple time zones. While the majority of your responsibilities may align with conventional business hours, there will be instances where you are expected to manage communications - via calls, Slack messages, or emails - outside of regular working hours to effectively collaborate with international colleagues, respond to restaurant partners, and/or address urgent matters. OpenTable will always abide by and consider local laws and regulations.

Inclusion

We’re committed to creating a workplace where everyone feels they belong and can thrive. We know the best ideas come when we bring different voices to the table, so we're building a team as dynamic as the diners and restaurants we serve—and fostering a culture where everyone feels welcome to be themselves.

If you need accommodations during the application or interview process, or on the job, we’re here to support you. Please reach out to your recruiter to request any accommodations.

#LI-LR1

We are looking for a Sales Operations Specialist to join our Sales Strategy & Operations Team. This individual will be primarily responsible for supporting our Sales teams. This role focuses on optimizing sales processes, providing strategic insights and leveraging data and automation to accelerate growth. To be successful in this role, you will have experience working cross functionally, possess excellent organizational and communication skills, and hold a curiosity for problem solving, as well as have an ability to use data to drive insights, strategic direction and decisions.

What You’ll Do

• Support day-to-day management of tools across the sales tech stack (e.g., CRM, sequencing platforms, data providers, analytics platforms), build workflows and automations and be first troubleshoot issues
• Optimize our lead generation, routing, and conversion systems
• Analyze funnel performance, provide data-driven strategic insights to sales leadership and implement prioritized strategies
• Analyze sales channel/campaign performance and identify areas for improvement (eg. A/B messaging, targeting, and sequences)
• Create dashboards and reporting systems to track KPIs, such as acquisition, conversion, activation, and revenue using Salesforce, G-sheets or Snowflake
• Collaborate with sales reps and managers to gather feedback and improve workflows
• Research and leverage new tools, trends, and AI solutions to enhance sales team performance

What You’ll Bring

• Bachelor’s degree in Business Administration, Data Analysis, Data Science Engineering, or a related field (or equivalent experience)
• 1-3 years of experience in a technical or operational role within a SaaS organization supporting sales, marketing, or growth (e.g., sales ops, solutions engineering, growth engineering)
• Familiarity with CRMs (Salesforce is a bonus) with experience pulling reports, building dashboards and looking at metrics
• A proactive, ownership mindset: the ability to identify problems and drive solutions without waiting for instruction
• Strong business acumen and analytical skills with the ability to understand the “why” and not just the “what”. Comfort working with data (Excel/G-sheets)
• Ability to lead data analysis for sales leaders & provide clear recommendations. 
• Strong attention to detail and organizational skills

Nice to haves:

• Experience with SQL, Python, APIs, data pipelines,system integrations, ChatGPT, Gemini and/or Claude
• Experience managing 3rd party vendor relationships and tools 
• Experience building AI tools or bots

S'more about the team

As a Staff Analytics Engineer, you will be the technical architect and strategic lead for data assets driving HelloFresh’s growth globally. Data-driven decision making is at the core of our company culture and your extensive experience and knowledge across technical and business related topics will enable us to make better and faster decisions. You will work with teams across the Growth Alliance - for example Conversions, Payments, Pricing/Benefits, Communications and Adtech - by proactively identifying opportunities and building data infrastructure for insights and AI usage. You will be an influential member of the Growth Analytics team, mentoring other team members and leading the adoption of new technologies and ways of working.

Lettuce share what this role will be responsible for

• Lead Data Quality & Strategic Optimization: Act as the final authority on SQL/Python reviews and own strategic systems. You will resolve systemic deficiencies, manage non-functional requirements like global scalability, and make high-level design trade-offs in ambiguous, high-risk situations.
• Architect Robust Data Models & AI Foundations: Drive the design of scalable models and create AI-ready data foundations. You will transform data through medallion architecture (Bronze to Gold) to ensure high-quality feature engineering and "truth sets" that intuitively reflect complex business logic.
• Drive Pipeline Stewardship & Best Practices: Take ultimate accountability for pipeline reliability and define the tooling roadmap. You will lead high-impact migrations, set monitoring strategies for latency and throughput, and evangelize the adoption of new technologies like DBT and observability tools.
• Enable Cross-Functional Strategy & Mentor the Team: Partner with leadership to translate business goals into technical roadmaps while you mentor and scale the team. You will develop self-service tools for analysts and initiate organizational changes to improve delivery speed and data accuracy.
  
  
  

Sound a-peeling? Here's what we're looking for

• Leadership in Analytics Engineering & Change Agency: 7+ years of experience with a proven track record of owning technical strategy across multiple business domains. You don’t just manage the status quo; you actively simplify codebases, resolve root-cause deficiencies, and lead teams through complex migrations.
• Mastery of the Modern Data Stack & AI Proficiency: Expert-level SQL and Python skills with deep experience refactoring complex pipelines (e.g., Snowflake, dbt). You possess a strong understanding of the data lifecycle for AI and are familiar with LLM-integrated data workflows.
• Strategic Problem Solving & Exceptional Communication: Ability to solve high-complexity technical problems and anticipate bottlenecks before they hit the business. You can effectively advise Senior Leadership, bridging the gap between deep technical architecture and business value.
• Operational Excellence Mindset & Pragmatism: A focus on "metrics that matter" (P0 pipelines, MTTR, documentation) combined with the business acumen to know when to drive standards and when to adapt for optimal outcomes.

Let’s cut to the cheese, this is why you'll love it here

• Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
• Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. 
• Family Benefits - A parental leave top-up program for expectant parents.
• Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
• Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
• Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
• Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!
  
  

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. 

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

#LI-HYBRID

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.

About this role:

Our Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without concern about underlying infrastructure. We enable product engineering teams to build and operate software with unmatched speed and quality. We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance.

The Analytics Platform team builds capabilities to accelerate data-driven analytics, improve productivity and accuracy at Faire. Its mandate is to reduce time from data to insights.

The team focuses on the following areas and capabilities:

• Data warehousing, including cost-efficient storage and compute
• ETL (extract, transform, load) and ELT (extract, load, transform) pipelines
• Evolution of foundational datasets with company-wide utilization
• BI (business intelligence) tooling and integrations
• Productivity acceleration tooling for analytics use-cases, including AI/LLM powered tools
• Automation of analytics functions
• Monitoring, alerting, and cost tracking for workloads
• Data security, privacy, and governance

The team also owns relationships with select infrastructure vendors.

We’re looking for: An engineer with data and analytics experience to work alongside our highly talented team, develop and deliver technical projects, and engage with other teams in the organization.

What you’ll do:

• Plan and execute on technology projects that scale with our growth; contribute to our technology foundations with a focus on data integrity, security, performance, scale, reliability, operational excellence.
• Engage with team planning and prioritization, balancing urgent and near-term needs with long-term goals.
• Provide technical expertise on difficult open-ended problems.

Qualifications:

• Strong Python and SQL skills
• Experience developing and operating ETL/ELT, storage, compute, workflow systems
• Exposure to building and operating reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and frameworks for analytics engineering workflows
• Understanding of data warehousing basics, especially Snowflake, is highly valuable
• Understanding of performance, capacity, cost trade-offs in data processing systems. 
• Experience diagnosing, mitigating, and addressing data system production issues at scale
• Strong communication skills
• A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience

Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin

Salary range:

Canada: the pay range for this role is $129,500 - $178,000 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

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.

AI Operations Engineer 

Team: Technical Operations - AI Operations

About the Role

At Opendoor, AI isn't a side project - it's how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. The AI Operations team sits at the intersection of data, AI engineering, and operational systems. 

You will help define the future of how we work across our Operations by building AI powered workflows, automation, and experiences that drive leverage across Operations. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.

You'll design systems and influence tooling decisions that affect how our operations scale – so we need people who think critically about what they build, why, the impact it will have on our operations and how to measure success. 

We're looking for AI-native builders to join our team, blending Operational expertise and systems thinking to drive leverage across our teams. If you default to AI in how you approach work, you’ll fit right in. 

Why Join Us

• Opportunity to shape AI Operations from the ground up
• Work on cutting-edge systems directly impacting our Customers and Operations 
• Collaborate with talented engineers, data scientists, product teams, and operational teams 

What You'll Do

• Turn ambiguous business problems into clear system designs, experiments, and implementation plans
• Identify and implement opportunities to improve our operational reliability, efficiency, and cost
• Prototype and ship rapid experiments that test improvements to workflows
• Evaluate build-vs-integrate decisions for AI tools and automation, with a bias toward scalable, maintainable solutions over one-off demos
• Build and maintain AI-powered automation, internal tools to improve how we work
• Assess and pressure-test system architectures — your own and others' — for scaling limitations, failure modes, and operational sustainability
• Maintain clean, trustworthy data through thoughtful schemas, audits, and dashboards that improve visibility and decision making
• Implement monitoring and alerting for model performance, latency, and drift detection
• Troubleshoot production issues and conduct root cause analysis

• Partner with data scientists and R&D to operationalize models
• Develop runbooks, documentation, and best practices for AI Operations

What We're Looking For

AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL, working with APIs, and stitching tools together to ship solutions fast.

Systems Thinking: You understand how data flows, business and systems objectives, how decisions get made, and how changes in one part of an operation ripple across others. You evaluate global vs. local trade-offs and can explain why a solution that works today might break at scale - before someone has to ask.

System Design: You take complex, messy problems and reduce them to simple, durable architecture. You know when to build custom vs. integrate existing tools, and you proactively identify scaling limitations before they become technical debt.

Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.

Impact Driven: You optimize for impact over novelty, choosing the right tools for the job rather than chasing trends with a long range horizon, observability to ensure performance, scalability and resiliency 

Additionally:

• Familiarity with LLM deployment, context engineering and comfortable writing SQL 
• Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring
• 5+ years of experience in operations and data experience 

Tools and Technologies

You'll work across a range of tools and we expect this list to evolve. Current stack includes:

• AI coding assistants: Claude Code, Cursor, or similar 
• Rapid prototyping tools: Lovable, Replit, Figma
• Workflow automation: Gumloop, Zapier, or similar platforms
• Experience with MCP integrations is a plus
• Experience with data platforms (Snowflake, Databricks) is a plus
• Background in agentic AI frameworks or building automation flows is a plus

Bonus Domain Expertise

You don't need deep expertise in all of these, but experience in one or more is a strong signal

• Pricing and valuation
• Sales,support, partnerships 
• Home operations 
• Homes support 

About the Role

At Opendoor, AI isn't a side project - it's how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. The AI Operations team sits at the intersection of data, AI engineering, and operational systems. 

You will help define the future of how we work across our Operations by building AI powered workflows, automation, and experiences that drive leverage across Operations. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.

You'll design systems and influence tooling decisions that affect how our operations scale – so we need people who think critically about what they build, why, the impact it will have on our operations and how to measure success. 

We're looking for AI-native builders to join our team, blending Operational expertise and systems thinking to drive leverage across our teams. If you default to AI in how you approach work, you’ll fit right in. 

Why Join Us

• Opportunity to shape AI Operations from the ground up
• Work on cutting-edge systems directly impacting our Customers and Operations 
• Collaborate with talented engineers, data scientists, product teams, and operational teams 

What You'll Do

• Turn ambiguous business problems into clear system designs, experiments, and implementation plans
• Identify and implement opportunities to improve our operational reliability, efficiency, and cost
• Prototype and ship rapid experiments that test improvements to workflows
• Evaluate build-vs-integrate decisions for AI tools and automation, with a bias toward scalable, maintainable solutions over one-off demos
• Build and maintain AI-powered automation, internal tools to improve how we work
• Assess and pressure-test system architectures — your own and others' — for scaling limitations, failure modes, and operational sustainability
• Maintain clean, trustworthy data through thoughtful schemas, audits, and dashboards that improve visibility and decision making
• Implement monitoring and alerting for model performance, latency, and drift detection
• Troubleshoot production issues and conduct root cause analysis

• Partner with data scientists and R&D to operationalize models
• Develop runbooks, documentation, and best practices for AI Operations

What We're Looking For

AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL, working with APIs, and stitching tools together to ship solutions fast.

Systems Thinking: You understand how data flows, business and systems objectives, how decisions get made, and how changes in one part of an operation ripple across others. You evaluate global vs. local trade-offs and can explain why a solution that works today might break at scale - before someone has to ask.

System Design: You take complex, messy problems and reduce them to simple, durable architecture. You know when to build custom vs. integrate existing tools, and you proactively identify scaling limitations before they become technical debt.

Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.

Impact Driven: You optimize for impact over novelty, choosing the right tools for the job rather than chasing trends with a long range horizon, observability to ensure performance, scalability and resiliency 

Additionally:

• Familiarity with LLM deployment, context engineering and comfortable writing SQL 
• Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring
• 5+ years of experience in operations and data experience 

Tools and Technologies

You'll work across a range of tools and we expect this list to evolve. Current stack includes:

• AI coding assistants: Claude Code, Cursor, or similar 
• Rapid prototyping tools: Lovable, Replit, Figma
• Workflow automation: Gumloop, Zapier, or similar platforms
• Experience with MCP integrations is a plus
• Experience with data platforms (Snowflake, Databricks) is a plus
• Background in agentic AI frameworks or building automation flows is a plus

Bonus Domain Expertise

You don't need deep expertise in all of these, but experience in one or more is a strong signal

• Pricing and valuation
• Sales,support, partnerships 
• Home operations 
• Homes support 

Location

This role requires working from our 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

At Opendoor, AI isn’t a side project - it’s how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. You will help define the future of how we work by building AI powered workflows, automation, and experiences that drive leverage across Finance — spanning month-end close, SEC Reporting, FP&A, Technical Accounting, Tax, Procurement, Accounts Payable, and Payroll. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.

You'll make systems design and tooling decisions that affect how our Finance operations scale – so we need people who think critically about what and why they build, the impact it will have on our team, and how to measure success. 

We're looking for AI-native builders who know how to automate complex operational workflows. The accounting and finance domain knowledge can be learned — what matters most is that you're wired to build, that you default to AI in how you approach problems, and that you can map messy business processes into clean, automated systems. 

Why Join Us

• Build AI automation for our Financial Operations from the ground up
• Work on cutting-edge systems directly impacting key Finance processes in a public company 
• Collaborate with talented engineers and finance team members
• Access to enterprise AI tools — Claude Code, Cursor, and LLM APIs. We invest heavily in AI infrastructure so you can build and experiment.

What You'll Do

This is a hands-on individual contributor role. You will design, build, and ship automations — not just evaluate tools or write strategy decks.

• Turn complex Accounting and Finance problems into clear system designs, experiments, and implementation plans
• Build and maintain AI-powered automation that improves operational efficiency, accuracy, and scale across Finance functions
• Automate workflows (journal entries, reconciliations, flux analysis) using SQL, Python, and agentic AI
• Maintain clean, auditable data throughout automated workflows, with dashboards and controls that support both operational and compliance needs
• Partner with the internal SOX team and external auditors to ensure automated processes meet compliance standards and are well-documented
• Build and scale AI literacy across the Finance team through runbooks, documentation, best practices, and hands-on training 

What You'll Bring

• At least 5+ years of work experience building automation, operational workflows, or data systems in any industry. 
• Familiarity with LLM deployment, context engineering and comfortable writing SQL or Python code
• Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring

Systems Thinking: You understand how data flows through operational systems. You can look at a business process, identify the inputs, outputs, dependencies, and failure modes, and design automation around it.

System Design: You take complex, messy problems and reduce them to simple, durable architecture. 

Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.

AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL code, working with APIs, and stitching tools together to ship solutions fast.

Impact Driven: You optimize for impact over novelty, choosing the right tools for the job and ensure performance, scalability and resiliency.

Bonus if you have:

• Experience in Accounting or Finance 
• Comfort working in regulated or compliance-sensitive environments

Tools and Technologies

You'll work across a range of tools and we expect this list to evolve. Ideal candidates will have experience with the following tech stack:

• AI coding assistants: Claude Code, Cursor, or similar 
• Workflow automation: Gumloop or similar platforms
• MCP integrations
• Agentic AI frameworks or building automation flows 
• Data / ERP platforms: Snowflake, NetSuite, Ramp or similar 

Note: Opendoor provides enterprise-level access to all AI tools listed above. Our engineers currently consume billions of AI tokens per month across the company and are not constrained by token limits or personal account restrictions.

Compensation

Our compensation plan consists of a base salary and Opendoor equity  in addition to 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

About the role

Are you passionate about using data and AI to shape the future of Faire's Go-to-Market (GTM) strategy, sales, and operations? If so, we want to talk to you! We're looking for a technical owner in our team to work closely with Revenue Operations, GTM Systems Engineers, Data Scientists, Product Analysts and Software Engineers to support revenue-driving GTM initiatives by designing and building scalable data capabilities that inform and drive insights. You will lead the path in using AI to boost productivity and transform how analytical engineering operates—leveraging AI to streamline data pipeline development and operations, improve GTM data consumption workflows (e.g., Snowflake, BI tools, Salesforce), and automate routine analytical tasks. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with A tier players, work with one of the richest data sets in the world, use cutting-edge technology, and see your efforts affect products and SMBs regularly. 

Join us and be part of a team that values data-driven innovation and excellence.

What You Will Do

The ideal candidate will possess a perfect blend of data engineering technical expertise and the product sense to be able to translate internal customer needs into practical solutions. They will have strong skills in developing and supporting large-scale, high-performance data storage and processing systems. They should have a proven track record of collaborating with key stakeholders to execute on GTM data initiatives. 

• Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners.
• Lead the technical execution in building scalable data models and pipelines for a GTM domain defining the architecture, data requirements, and roadmap (e.g., Contact Scoring, Lead Qualification, Sales Pipeline, Sales Enablement).
• Build data pipelines with rigorous approaches to data quality, validation, testing, and observability.
• Redefine how we build, maintain, and scale data systems by embedding AI into our daily workflows.
• Optimize processes for operational excellence in project management and system reliability.
• Ensure security standards are met within data systems and workflows. 
• Ensure and promote data quality standards for accurate and reliable insights.
• Embrace emerging technologies with enthusiasm.

Minimum qualifications

• 4+ years experience in analytics & data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases.
• Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders.
• Production-level development experience in Python.
• Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance.
• Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms.
• Experience with Airflow, Docker, DBT or similar analytics workflow tools.
• BA/BS degree in Computer Science, Math, Physics, or a related technical field. 

Nice-to-haves

• Experience with GTM specific data modeling using a BI tool such as Looker or similar while leveraging conversational analytics. Build and own the GTM semantic layer.
• Hands-on experience with GTM-specific data and platform apps, including Reverse ETL (e.g., Hightouch), ELT/Ingestion tools (e.g., Fivetran), iPaaS/Integration platforms (e.g., Workato, N8N, Zapier), and CRM/GTM systems and tool (e.g., Salesforce, Clay).

Salary Range

San Francisco: the pay range for this role is $196,000 to $269,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

About the Role

We’re looking for a Staff Software Engineer to join our Reverse ETL product engineering team.

Formerly Census, we were acquired in May 2025 to augment Fivetran’s warehouse-first data movement product story. Now we’re integrating our entire product directly into the Fivetran dashboard, bringing best-in-class data activation to every Fivetran customer.

As a staff software engineer in Reverse ETL, you’ll be on the front lines of integrating data activation capabilities into the Fivetran product along every dimension – UI, authentication, billing, data model, and more. You’ll be a senior member of a distributed, collaborative, agile team of engineers of varying experience levels and diverse backgrounds.

This is a full-time position based out of our Toronto office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team

Technologies You’ll Use

• Expertise in at least one interpreted language such as Python, Ruby on Rails, etc.
• Hands-on experience with at least one compiled language such as C++, Kotlin, Scala, Go, Java, etc.
• Solid understanding of relational databases (experience with data warehousing solutions (e.g., Snowflake) is a bonus)
• Proven experience in system integration, including API consumption and development (experience with infrastructure management is a bonus)
• Familiarity with leading cloud providers, such as GCP, AWS, or Azure
• Experience being on-call

What You’ll Do

• Make contributions to all parts of our tech stack, which comprises Ruby on Rails, Typescript, Vue, and AWS.
• Be comfortable “filling in the gaps” in product / design specs. The prospect of being able to prototype to test ideas out before committing to building is exciting to you.
• Work closely with our product team, leaders, and customers to help design and develop features that make Fivetran the one-stop shop for data activation.
• Mentor early-career engineers, perform thoughtful and constructive code reviews, advise on best practices, provide project-level leadership, operate across teams, departments, and time zones.
• Lead major projects, from driving research spikes, to writing and socializing design documents, to planning the implementation and rollout

Skills We’re Looking For

• Can build things end-to-end. Our engineers build, deploy and maintain their code.
• Is adept with data, backend systems, APIs, and UI components.
• Is customer-focused, with an eye for building delightful product experiences and developer experiences.
• Approaches new problems with a scrappy optimism, with a bias towards action.
• Thrives in ambiguous environments where you get to work directly with customers and make decisions that build trust and have a huge impact on the business.
• Present and available online for synchronous and asynchronous collaboration with a team distributed across North America.
• Able to work in-person in our Oakland office 2 days per week.
  
  #LI-HYBRID #LI-AM1

Hey there! We’re ContactMonkey 👋

Our mission? To power measurable employee engagement worldwide. And we’d love for you to join us!

About the job - AI Architect 

ContactMonkey's platform already runs AI in production - Claude-powered template editing, a standalone ConfidenceCheck service that evaluates outgoing emails for editorial quality and link safety, Braintrust-backed evaluations, and per-organization feature gating. The next wave is bigger: grounded assistants, retrieval over customer brand and campaign history, richer agentic flows inside the composer, and data products that make sending decisions smarter.

We're forming a dedicated AI pod to own that trajectory. With the team you will be setting the technical direction for the pod, make the foundational infrastructure bets (vector store, evals, data warehouse, agent orchestration), and ship the first production systems yourself. This is an architect role in the sense that you own the shape of the thing - it is not a role where you stop writing code.

Your impact

• AI platform direction: Model selection and routing, prompt and context architecture, evaluation strategy, cost and latency budgets, safety and PII handling. Decide where we go deeper with frontier models, where we fine-tune smaller ones, and where classical ML beats an LLM.
• Retrieval and grounding infrastructure: You'll pick it, design the ingestion path (brand kits, past campaigns, template library, per-org knowledge), own the chunking/embedding/refresh strategy, and set the quality bar via evals.
• Agent and tool-use patterns: Multi-turn tool-calling loops, deterministic fallbacks, observability, recoverable failure modes across Sidekiq and SQS, human-in-the-loop checkpoints where they matter.
• Data engineering foundations: You'll decide whether we need a warehouse (BigQuery / Snowflake / DuckDB-on-S3/ RedShift), design the pipelines that feed both product analytics and model training/eval datasets, and make sure the lineage is clean enough that we trust what we ship. Build a foundation for the next level data analytics across the company.
• Cloud and deployment architecture: We run on AWS (ECS, S3, SQS etc). You'll make the calls on how AI services are deployed - when a new microservice like ConfidenceCheck is the right pattern vs. embedding in the Rails monolith, how we handle GPU/accelerated inference if we ever need it, how we isolate model spend per tenant.

What we expect from you technically

You should be credible across all four of AI, Cloud, Data, and Fullstack - not a specialist in one with passing knowledge of the others. 

Concretely:

AI / ML

• Built and operated LLM-backed features in production against real users.
• Deep familiarity with at least one major provider SDK (Anthropic, OpenAI) and comfort switching between them. Understand prompt caching, structured outputs, tool use, and the tradeoffs between agent loops and pipeline-style orchestration.
• Evals are a reflex, not an afterthought. You've run a real eval harness (Braintrust, promptfoo, in-house) against golden datasets and used it to block regressions.
• Working knowledge of retrieval systems: embeddings, hybrid search, reranking, and where each breaks. Opinions on pgvector vs. dedicated vector DBs and when either is wrong.
• Bonus: fine-tuning or distillation experience, classical ML for ranking/classification, prompt-injection and jailbreak threat modelling.

Cloud

• AWS fluency at the architecture level - VPCs, IAM boundaries, secrets management, queue-based decoupling, cost control. Equally comfortable if we need to run a workload on GCP for a specific reason.
• Container-native deployment (ECS, EKS, or equivalent). IaC experience (Terraform or CDK) - even if we aren't using it yet, you should expect to bring it in.
• Have operated production systems under real load. You've been paged, and you've written the postmortem.

Data Engineering

• Can design a data pipeline end-to-end: ingestion, transformation, storage, serving. Batch and streaming. Have built this in at least one real organization.
• Comfortable with SQL and non SQL at a level that lets you reason about query plans, not just write queries. You've tuned a slow query by looking at the plan, not by guessing.
• Opinion on when a warehouse earns its keep vs. when read replicas are enough. We're at that decision point.
• Bonus: dbt, Airflow / Dagster / Prefect, CDC patterns, multi-tenant data partitioning at scale.

Fullstack

• Our backend is Ruby 3.4 on Rails 7.2 with Sidekiq Pro and SQS; our frontends are Vue 3 (main app), Nuxt 4 (recipient-facing content), and a Fastify/TypeScript AI microservice. You don't need all of this on day one, but you should be a polyglot who ramps quickly.
• Write real TypeScript. The AI-adjacent services are TS-first and that is likely to grow.
• Understand API design past the happy path - versioning, auth modes (we run session auth for the main API and bearer tokens for integrations), rate limiting, idempotency.

What we bring to the table 

🏥 100% employer-paid benefits + a Health Spending Account from day one

🌎 Work from anywhere in the world for up to 4 weeks

💰 Stock option plan—own a piece of our success

💲 RRSP Group Savings Plan to plan for your future

🏝 Generous vacation package to recharge and relax

📚 Personal development budget to fuel your growth

🧖 One personal day + two volunteering days to give back

🎂 Your Birthday off—celebrate on us!

🍎 Five health days per year to stay at your best

💼 Beautiful downtown Toronto office for hybrid work—fully stocked with all the best snacks

Compensation & Work Details

Compensation is thoughtfully determined based on your experience, skill set, and alignment with our internal compensation framework and internal equity.

We’re always happy to answer questions about compensation throughout the hiring process.

This is a net new position based out of our downtown Toronto office, at King and Spadina. Our engineering team works primarily remote but we are looking for someone who is willing to come into the office occasionally on an as needed basis.

Who We Are 

Imagine being part of a team of brilliant minds, all shaping the future of workplace communication. Here at ContactMonkey, we’re not just sending out traditional emails with our internal comms software; we’re changing the way companies connect and communicate with their people. Brands like IKEA, Roku, KMPG, and countless others are using our solution to transform employee engagement.

Our all-in-one platform—featuring a drag-and-drop email builder, engagement tools, and analytics—makes it easy for businesses to create, send, and measure their internal email campaigns directly within Outlook or Gmail. This way, internal communications go from being ignored to binge-worthy, sparking more opens, clicks, and conversations.

We’ve been on an explosive growth streak over the past few years, and we’re not slowing down anytime soon. Here’s a bit of what we’re proud of:

• Ranked by the Globe & Mail as one of Canada’s fastest-growing companies
• Recognized in 2023, 2024 and 2025 Deloitte Technology Fast 50™ awards for revenue growth over the past four years
• Recognized in 2023, 2024 and 2025 Deloitte Technology Fast 500™ as one of the fastest-growing companies in North America
• Raised $55 million Series A financing in 2023

Diversity is our strength

At ContactMonkey, we are building diverse products and we need a diverse team to do that. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. 

We are committed to creating an accessible experience for all candidates. If you require any accommodations or adjustments during the interview process or beyond, please inform us, and we will work with you to ensure the necessary support is in place. We are continually striving to enhance our accessibility practices and welcome any feedback or suggestions on how we can better serve candidates with accessibility.

AI Disclosure: 

We use AI to take notes during our interview. Applications and interviews are reviewed by our Talent Acquisition team. Our applicant tracking system utilizes AI for workflows and hiring process efficiencies.

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 Clutch

Clutch is Canada’s largest online used car retailer, delivering a seamless, hassle-free car-buying experience to drivers everywhere. Customers can browse hundreds of cars from the comfort of their home, get the right one delivered to their door, and enjoy peace of mind with our 10-Day Money-Back Guarantee.
Named one of Canada’s Top Growing Companies two years in a row and awarded a spot on LinkedIn’s Top Canadian Startups list, we’re looking to add curious, hard-working, and driven individuals to our growing team.
Headquartered in Toronto, Clutch was founded in 2017. Clutch is backed by world-class investors including Canaan, BrandProject, Real Ventures, D1 Capital, and Upper90. To learn more, visit clutch.ca

About the role

Clutch is seeking a Senior Analytics Engineer to design, maintain, and evolve our analytics data stack. In this role, you will work closely with business teams, own critical data domains, and mentor other analytics engineers while driving data quality, governance, and modern analytics practices.

What you’ll do

• Lead the design and evolution of Clutch’s analytics data stack, including scalable ELT pipelines, dimensional models, and semantic layers using dbt, Snowflake, and Airflow

• Partner with Marketing, Product, Operations, and Finance teams to define metrics frameworks, improve reporting fidelity, and build trusted data products

• Drive best practices in data engineering: testing, observability, CI/CD, and code review for production-ready analytics code

• Own critical data domains end-to-end, ensuring models and pipelines are reliable, performant, and trusted

• Mentor and guide other analytics engineers, elevating technical practices and modeling approach

• Shape Clutch’s data governance strategy by contributing to documentation, standards, and overall data culture

• Experiment with emerging tooling in orchestration, data quality, and self-serve analytics to keep Clutch at the forefront of modern data practices

What we’re looking for

• 6–8+ years of experience in analytics engineering, data analytics, or data engineering in high-growth or fast-paced environments

• Proven track record building and maintaining complex data models with dbt in a production environment (CI, testing, documentation)

• Deep SQL expertise, with experience designing scalable dimensional models and working with large, normalized datasets

• Hands-on experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift

• Experience building semantic layers and enabling self-serve BI (Looker, Sigma, Tableau)

• Strong communication skills with the ability to influence stakeholders and lead discussions around metrics and data strategy

• Strong sense of ownership, accountability, and craftsmanship for data quality, performance, and maintainability

• Experience with Python and orchestration tools (Airflow, Prefect, Dagster) for data pipelines and transformations is a plus

• Prior mentorship or leadership experience in a data team is strongly preferred

Why you’ll love it at Clutch

• Autonomy & ownership – create your own path and own your work

• Competitive compensation and equity incentives

• Generous time off program

• Health & dental benefits

Employment Type

Existing, Permanent Full-Time

Compensation & Benefits

• Salary: $120,000 - $160,000 annually 

• Equity incentives

• Comprehensive healthcare, dental, vision, prescriptions, life insurance, and dependent coverage

• Pay decisions reflect skills, performance, market benchmarking, responsibilities, and working conditions

Clutch is committed to fostering an inclusive workplace where all individuals have an opportunity to succeed. If you require accommodation at any stage of the interview process, please email talent@clutch.ca

About this role:

Our Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without concern about underlying infrastructure. We enable product engineering teams to build and operate software with unmatched speed and quality. We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance.

The Analytics Platform team builds capabilities to accelerate data-driven analytics, improve productivity and accuracy at Faire. Its mandate is to reduce time from data to insights.

The team focuses on the following areas and capabilities:

• Data warehousing optimization, including performance, efficiency, cost
• Capabilities for data quality, metadata enrichment, lineage, privacy
• Tooling and capabilities to accelerate productivity of analytics subject matter experts; automation of analytics functions
• Development patterns and practices for foundational assets
• Elements of data security, privacy, and governance

The team also owns relationships with select infrastructure vendors.

We’re looking for:

• An experienced analytics engineer to work alongside our highly talented team, develop and deliver technical projects, and engage with other teams in the organization.

What you’ll do:

• Partner with key internal customers of the analytics function across business verticals, Strategy, Finance, others to develop capabilities based on their needs
• Improve development patterns and guide the broader analytics function on evolution of foundational datasets
• Lead technical execution in building scalable data models and pipelines for key domains, defining architecture, feature requirements, roadmaps
• Tackle challenges of data quality, integrity, relevance, and other analytics related concerns, for accurate and reliable insights
• Plan and execute on technology projects that scale with our growth; contribute to our architecture with a focus on analytics
• Engage with team planning and prioritization, balancing urgent and near-term needs with long-term goals.
• Provide technical guidance and mentorship on difficult open-ended problems.

Qualifications:

• Strong SQL and Python skills and demonstrated competencies in designing well-architected data models and optimizing query performance
• Experience building and evolving platform / foundational datasets and enabling other business functions that consume them
• Analytics engineering experience with a focus on data modeling, large-scale data processing, and tool development for analytics or data science use cases
• Experience with Airflow, dbt or similar analytics workflow tools; Snowflake experience especially valuable
• Knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms
• Data warehousing experience at Petabyte scale
• Understanding of performance, capacity, cost trade-offs in data processing systems
• Strong communication skills
• A bachelor's degree in Computer Science / Engineering or equivalent industry experience

Technologies we use and teach:

• AWS
• Snowflake
• Airflow
• Spark
• Python
• Kotlin

Salary range:

Canada: the pay range for this role is $160,000 - $220,000 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a Senior Software Engineer to join our ETL Platform team.

We own the core platform that backs Census’ sync engine. We are responsible for keeping our customer data flowing smoothly - on time, every time. We design and implement projects like our recent Sync Tracking overhaul - enabling us to capture, store, and process huge datasets, giving customers complete visibility into what data is flowing through our pipes; providing the capability to verify that every record is getting where it needs to go. We manage a constantly scaling and resizing fleet of machines to handle the dynamic needs of our customers, so one could call us the shadow infrastructure team as well.

This is a full-time, hybrid position based out of our Toronto office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

• Expertise in at least one interpreted language such as Python, Ruby on Rails, etc.

• Expertise in at least one compiled language such as C++, Kotlin, Scala, Go, Java, etc.

• Solid understanding of relational databases (experience with data warehousing solutions (e.g., Snowflake) is a bonus)

• Proven experience in system integration, including API consumption and development (experience with infrastructure management is a bonus)

• Familiarity with leading cloud providers, such as GCP, AWS, or Azure

• Experience being on-call

What You’ll Do

• Make valuable contributions to the deepest recesses of our tech stack – including writing typesafe Ruby and Rails with Sorbet, building performant Kotlin microservices, managing highly available Spark clusters, working on deterministic Temporal workflows, and Terraforming all the things in AWS.

• Think in Parquet, live in cloud storage, and have data flowing through your veins.

• Operate in hostile territory on all sides–building and managing a data diffing ETL engine that operates across every type of data warehouse and SQL dialect imaginable on data you don’t own or control, and send it to countless permutations of destinations that could respond any number of unpredictable ways.

• Be a reliable and steadfast operator, participating in the team on-call rotation to help diagnose, triage and fix performance bottlenecks and gnarly edge-cases our customers discover. You’ll leave the campsite cleaner than you found it.

• Work closely with our product team to help design and develop new features to improve data pipeline observability and debuggability, putting you on a first name basis with the data teams of many companies you have come to love and respect.

Skills We’re Looking For

• Ownership - Experience being on-call, driving system quality higher, managing costs and constantly recognizing areas to simplify while always improving composability

• Autonomous and Self-Motivated - thrives in a high-trust environment, driving projects forward and making independent decisions with confidence

• Adaptable and Resilient - comfortably navigates ambiguity and views challenges as opportunities for growth

• Driven and Persistent - maintains a strong focus on goals, confidently overcoming obstacles and eagerly seeking innovative solutions to exceed expectations

This role represents new headcount added to the team to support continued growth and expansion of capabilities.

#LI-HYBRID #LI-AM1

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 Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions.

What You’ll Do

• Design, build, and manage robust data pipelines and data architectures.
• Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake.
• Optimize data workflows, ensuring reliability, scalability, and performance.
• Collaborate with internal stakeholders to understand data needs and deliver tailored solutions.
• Ensure data security and compliance with industry standards and best practices.
• Perform data modelling, data extraction, transformation, and loading (ETL/ELT).
• Identify and recommend innovative solutions to enhance data quality and analytics capabilities.

Qualifications

• Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
• At least 3 years of professional experience as a Data Engineer or similar role.
• Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake.
• Hands-on experience with data pipeline tools, cloud services, and storage solutions.
• Strong programming skills in SQL, Python, or related languages.
• Experience with big data technologies and concepts (Spark, Hadoop, Kafka).
• Excellent analytical, troubleshooting, and problem-solving skills.
• Strong understanding of data modeling concepts including medallion architecture, data vault, grain, fact tables, dimensions, and schema design.
• Hands-on experience building and maintaining transformation layers using dbt or similar ELT tools.
• Experience building production-grade data models with optimized performance supporting operational decision-making.
• Experience designing batch and real-time ingestion frameworks with real-time monitoring
• Ability to effectively communicate technical concepts clearly to non-technical stakeholders.

Nice to have

• Certifications related to Azure Data Engineering, Databricks, or Snowflake.
• Familiarity with DevOps practices and CI/CD pipelines.

Perks and Benefits

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

Bonus Points

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

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

The estimated compensation for this position is $90,000 to $125,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.

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

#LI-Hybrid

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

The role

Benefits

product initiatives where leverage is highest.

This is a high-ownership role with real business responsibility, not a feature factory position.

What you’ll own

Smart Fridges (Primary)

• Own the end-to-end product strategy and execution for Smart Fridges (hardware, software, ops, and UX).
  
  
• Define and prioritize the roadmap across:
• Fridge software
• Hardware & IoT flows
• Computer vision, inventory, and ordering logic
• Operational workflows (installations, refills, failures, edge cases)
  
  
• Partner closely with engineering, design, ops, data, and clients.
• Drive outcomes across conversion, retention, reliability, and unit economics.
• Be accountable for shipping, learning, and iterating fast in a real-world, non-perfect environment.

Partnerships & Integrations

• Lead product ownership of strategic integrations (external partners, platforms, APIs).
• Translate partnership agreements into clear product requirements and technical scopes.
• Work with internal teams and external partners to ensure:
• Clean integrations
• Scalable flows
• Clear ownership and SLAs
• Identify opportunities to turn integrations into growth or retention levers, not just technical connections.

Cross-cutting / General Product Support

• Help bring structure to ambiguous or fast-moving initiatives.
• Act as a force multiplier for the product org: unblock, simplify, and push things forward.

What success looks like

• Smart Fridges has a clear backlog, fewer fires, and measurable improvements in key metrics.
• Integrations ship faster, with less ambiguity and fewer surprises.
• External partners feel aligned and confident working with us.
• Teams have clarity on what we’re building, why, and what success means.
• Leadership trusts you with increasingly complex and strategic problem spaces.

What we’re looking for

Must-haves

• 4+ years of experience as a Product Manager.
• Proven experience owning complex systems (multi-team, multi-stakeholder).
• Strong ability to operate in ambiguity and bring structure.
• Excellent written and verbal communication.
• Comfortable working across engineering, design, ops, and external partners.
• Business-minded: you care about outcomes, not just shipping features.

Strong plus

• Passion for the healthcare and food-is-medicine industry.
• Experience with hardware, IoT, marketplaces, or logistics-heavy products.
• Experience with integrations, APIs, or platform products.
• Experience working with partnerships or external vendors.
• Startup or high-growth environment experience.

Why is this role interesting?

• You’ll work on a rare mix of hardware + software + ops + partnerships.
• You’ll have direct exposure to leadership and real influence on product direction.
• You’ll help scale products that exist in the physical world, with real constraints and real impact.
• This role can grow significantly as the product surface area expands.

Benefits

💸 Get paid in USD

🗺 Work remotely: design the life that you want

⛱ Enjoy 15 days of vacation each year from the start date

🎄 16 fully paid Argentinean holidays

🩺 Healthcare Benefit: Monthly stipend to use in your preferred healthcare provider

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

🐣 Paid Family leave

🕯 Compassionate Leave: 3-5 days each time the need arises

🧘🏽‍♀️ Flexible benefits, your way: a prepaid card you can use on wellness, learning, food, and more.

🤖 AI-forward workplace: enterprise access to ChatGPT and Claude to help you work smarter and grow faster.

🧑‍🏫 Personalized English coach

Overview

The Associate Director, CRM Development plays a critical role in architecting and scaling the technology foundation that powers TripleLift's go-to-market engine. In this position, you will serve as the primary owner and developer of our Salesforce org - driving everything from custom object builds and workflow automation to data integrity, integrations, and platform governance. Beyond SFDC, you will own and manage our full GTM tech stack — including Outreach, Gong, MediaRadar, and other tools — making deliberate architectural decisions about how these systems connect and interact, while also owning vendor relationships, ensuring data integrity and revenue reporting standards, and enabling our Sales, Revenue Operations, and Account Management teams to operate at peak efficiency.

You will partner closely with Revenue Operations, Sales leadership, and cross-functional stakeholders to translate business requirements into scalable technical solutions - ensuring our systems evolve in lockstep with how we go to market. This is an exciting opportunity for a technically deep, business-minded developer who wants to own a high-impact stack end-to-end, build meaningful infrastructure from the ground up, and play a central role in accelerating revenue growth at a leading programmatic advertising company.

Responsibilities

• Own end-to-end Salesforce development, including custom objects, Apex, Lightning Web Components (LWC), flows, validation rules, and other platform configuration across Sales & Service Cloud and any integrated products
• Architect, build, and maintain integrations between Salesforce and the broader GTM tech stack — including Outreach, Gong, MediaRadar, and other revenue-facing tools — ensuring clean, reliable data flow across systems
• Partner with Revenue Operations and Sales leadership to translate business requirements into scalable technical solutions, managing the full development lifecycle from scoping through deployment
• Govern data quality and integrity across the GTM stack, establishing standards for hygiene, deduplication, and taxonomy that support accurate reporting and forecasting
• Evaluate, implement, and optimize new GTM technologies, serving as the internal subject matter expert on tool selection, vendor management, and platform roadmap
• Proactively monitor platform health across the GTM tech stack, triaging and resolving issues as they arise and managing bug fixes through their full lifecycle from identification through resolution.
• Partner with BI/Data teams to surface Salesforce data in downstream reporting tools (e.g., Snowflake, Omni), and support initiatives to connect BI tooling to CRM infrastructure.

Education & Requirements

• Bachelor's degree in Computer Science, Information Systems, Business, or a related field required
• 5+ years of hands-on Salesforce development experience, including custom objects, Apex, Lightning Web Components (LWC), flows, and REST/SOAP API integrations
• Salesforce Administration Required

The Role

AI is no longer a roadmap item — it's the operating system for how modern growth teams win. We're hiring a AI Native Engineer, Growth Marketing to be the hands-on builder who embeds AI into every corner of how our Growth team works: performance marketing, creative production, CRM, landing pages, growth ops, and beyond.

This is a rare hybrid role. You're equal parts engineer and growth practitioner — someone who can write a Python script in the morning, ship a Braze-connected AI workflow by afternoon, and explain the business impact to a non-technical stakeholder by EOD. You don't need to have done this at scale before — you need to be obsessed with building at the frontier of what's possible and have the technical chops to make it real.

You'll report directly to the Head of Growth and work across every subteam in the Growth org as their embedded AI engineer.

Responsibilities:

• Performance Marketing: Build AI-powered tools to automate bid strategy analysis, budget pacing alerts, creative performance scoring, and anomaly detection across paid channels (SEM, Meta, Affiliate, YouTube, etc.)
• Creative Studio: Develop AI workflows for ad copy generation, creative brief automation, image asset variation at scale, and creative performance feedback loops between analytics and the studio team
• CRM & Lifecycle: Implement AI-driven personalization and send-time optimization across email, SMS, push, and in-app channels; build agentic workflows that pull Snowflake data, generate segment logic, and trigger Braze campaigns with minimal manual intervention
• Landing Pages & Conversion: Automate LP variant generation, headline testing ideation, and personalization logic by audience segment or traffic source
• Growth Ops: Build internal AI tools — dashboards, Slack bots, report generators — that reduce repetitive analytical work and accelerate decision-making across the team
• Growth Product: Partner with Product and Engineering to identify where AI-powered features (recommendations, dynamic content, smart nudges) can accelerate funnel conversion and retention
• Tooling & Infrastructure: Evaluate, implement, and maintain the AI/ML toolstack that powers Growth — from LLM APIs to workflow orchestration tools to data pipelines

What Success Looks Like

• A measurable reduction in manual hours across mundane Growth through AI-driven automation
• At least 5-10 production-grade AI tools or workflows live and actively used by the team within the first 4 months
• CRM campaigns that are more personalized, faster to launch, and higher-performing because of AI assist
• Creative output volume increases without a proportional increase in headcount
• The Growth team thinks of you first when they want to do something smarter, faster, or at scale

Qualifications:

• 2–5 years of engineering or technical experience, with meaningful hands-on work applying AI/LLMs to real business problems (side projects count — we care about what you've built, not just where)
• Proficiency in Python or Typescript and comfort working with APIs (OpenAI, Anthropic, or similar LLM providers)
• Build repeatable skills or plugins for popular LLM clients to empower your team
• Educate and mentor team members to become more AI-Native
• A builder's mentality: you'd rather ship a working prototype than write a spec about one
• Ability to work cross-functionally and translate between technical and non-technical stakeholders

Preferred requirements:

• Experience with workflow orchestration tools (Agent SDK, n8n, Make, Zapier, or custom Typescript/Python pipelines)
• Prior work at a DTC subscription company or growth-stage startup
• Familiarity with prompt engineering, RAG architectures, or fine-tuning
• Experience building internal tools used by non-technical teams
• Familiarity with marketing platforms and data infrastructure — ideally some combination of Braze, Google Ads, Meta Ads Manager, Snowflake, or equivalent
• Strong enough understanding of growth marketing to ask the right questions and build tools that practitioners actually want to use

Technologies You'll Use

• LLM APIs: OpenAI, Anthropic, and/or open-source models
• CRM & Marketing: Braze, Google Ads, Meta Ads Manager
• Data: Snowflake, SQL, Tableau, dbt, Hex
• Orchestration: Typescript, Agent SDK, Vercel AI SDK, Python, n8n, Make, or similar
• Collaboration: Slack, Notion, Jira, Google Workspace

Benefits

 🩺 Health Insurance coverage (Canada Life)

⛱ Flexible Paid Time Off

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

🐣 Paid Family leave.

🕯 Compassionate Leave: 3-5 days each time the need arises

🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly.

🧘🏽‍♀️ Wellness perks: fitness subsidies to build a healthy lifestyle

👩🏾‍🏫 Personalized Spanish coach

🚀 Awesome opportunity to join a company that is looking to change how we eat and how chefs work!

As a talented Software Engineer II, you will deliver resilient and sustainable software projects from design to implementation and rollout. You will execute on defined projects to achieve team-level goals and own minor features in support of larger features. You will independently define the right solutions or use existing approaches to solve defined problems, consistently deliver high quality code, and contribute to test development.

At Marqeta, participation in a rotational on-call pager duty is a required part of the software engineering role. The specifics of the rotation may vary by team, depending on team size and structure, and will be discussed further during the interview process.

We're hiring for multiple roles at the Software Engineer II level.

The Impact You'll Have 

• Design, develop, implement, and deliver high-quality products that simplify financial services for our customers.
• Build testable, scalable, and trustworthy systems while eliminating manual tasks.
• Translate ideas into well-documented, well-tested, and maintainable code.
• Read, navigate, and contribute to a large-scale codebase, resolving bugs and enhancing functionality.
• Break down complex business problems into modular software solutions.
• Participate in agile ceremonies, code reviews, and on-call rotations.
• Collaborate cross-functionally with teams and stakeholders in a Flex-first environment.
• Identify areas for improvement in projects and processes, advocating for best practices.
• Mentor engineers, foster a collaborative team environment, and contribute to a strong engineering culture.
• Design and implement high-performance solutions for large-scale financial data and compliance challenges.
• Debug critical production issues across various services and technology layers.
• Automate processes to improve efficiency and focus on strategic challenges.

Who You Are

• 3+ years of experience in software development, specializing in backend engineering.
• Strong programming skills in Java (Spring Boot preferred) and familiarity with Python, Go, or Ruby.
• Experience with relational databases such as MySQL, Postgres, SQL Server, or Oracle.
• Strong foundation in service-oriented architectures and cloud computing (AWS preferred).
• Ability to develop clean, readable, and error-free code with thorough documentation and testing.
• Experience with infrastructure as code (IaC), CI/CD pipelines, and observability tools (e.g., DataDog).
• Strong analytical skills, with the ability to diagnose production issues and optimize system performance.
• Excellent communication skills, both verbal and written, with the ability to present complex ideas clearly.
• A collaborative and team-oriented mindset, with a willingness to mentor and learn from peers.
• Passion for continuous learning, particularly in payments, security, and FinTech domains.

Nice-To-Haves

• Experience in the payments or FinTech space, including:
• Card Network certifications (Visa, Mastercard, AMEX, etc.).
• ISO8583 binary data handling and normalization.
• Understanding of card transaction types (Purchase, Refund, AFT) and their impacts.
• Hands-on experience with Kubernetes, Docker, and cloud-native architectures.
• Experience with big data analytics tools (e.g., Snowflake) and stream processing architectures.
• Contributions to technical blogs, open-source projects, or a public GitHub repository.
• Experience in migrating to microservices-based architectures.

These roles offer the opportunity to drive meaningful impact in the financial industry while working in a highly collaborative and technically sophisticated environment. If you’re passionate about backend engineering and solving complex problems, we’d love to hear from you!

Compensation and Benefits - Canada

Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. 

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position, reflected in CAD, is: 91,500 - 116,100.

We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company.

Along with monetary compensation, Marqeta offers

• Multiple health insurance options
• Flexible time off – take what you need
• Retirement savings program with company contribution
• Equity in a publicly-traded company and an Employee Stock Purchase Program
• Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave
• Free therapy sessions, financial and professional coaching, and legal advice
• Monthly stipend to support our remote work model
• Annual “development dollars” to support our people growth and development

About this Role

We're looking for a Senior Data Systems Engineer who bridges the gap between hardware domain expertise and modern data infrastructure. You won't just build pipelines — you'll work directly with foundries, OSATs, test engineers, and validation teams to understand what the data means, define how it should flow, and build the platform that makes AI-driven decisions possible across 13+ active hardware programs.

This is not a typical data engineering role. The right person has a background in semiconductor manufacturing, photonics, hardware test/validation, or a related hardware discipline — and a strong pull toward data systems, process optimization, and automation. You understand that the hardest part of a data platform isn't the code; it's knowing which data matters and why.

What You'll Do

Program Data Onboarding & Vendor Engagement

• Engage directly with foundries, OSATs, and internal engineering teams to align on data formats, delivery mechanisms, and quality standards for new programs
• Own the data onboarding lifecycle for programs ramping to High Volume Manufacturing (HVM)
• Identify gaps in data coverage across the pipeline: design, foundry, test/validation, photonics characterization, packaging/assembly, and system-level validation
• Influence external and internal teams to adopt scalable, platform-compatible data practices — this is hands-on stakeholder work, not email coordination

Data Platform Engineering

• Design, build, and maintain data pipelines that ingest, transform, and deliver hardware data from wafer-level test through system validation
• Build and maintain data models in dbt on Snowflake that serve downstream analytics, reporting, and AI/ML workflows
• Develop and operate orchestration workflows (Dagster) for reliable, observable data delivery
• Implement data quality checks, monitoring, and alerting to ensure platform reliability across production programs

Performance Metrics & Reporting

• Build performance metrics pipelines that translate raw hardware data into actionable insights for engineering and program teams
• Own stakeholder reporting and deliver training for teams onboarding to platform tools (Snowflake, Sigma, custom dashboards)
• Support AI/ML workflows by ensuring the data foundation is clean, structured, and reliable

Platform Improvement & Tooling

• Contribute to platform infrastructure: CI/CD, RBAC, cost optimization, self-service tooling
• Participate in sprint ceremonies, contribute to architectural decisions, and help shape the team's technical roadmap
• Mentor junior team members on both data engineering practices and hardware domain context

What You Bring

Required

• Bachelor’s Degree in Photonics, Data Engineering, Electrical Engineering or a related field
• 8+ years of professional experience in data engineering, process engineering, test engineering, or a related technical role in semiconductor, photonics, or hardware manufacturing
• Proficiency in Python and SQL
• Experience with Snowflake, dbt, Dagster/Airflow, or similar modern data stack components
• Experience working with data for hardware test, manufacturing, or characterization systems
• Demonstrated ability to work cross-functionally with technical teams and external partners (vendors, foundries, or OSATs) to define data requirements and influence practices
• Strong analytical thinking — you can look at a dataset and understand what it means in the physical world, not just how to transform it

Preferred

• Master’s or PhD in Physics, Electrical Engineering, Photonics, or a related field with 4+ years of experience
• Background in silicon photonics, photonic integrated circuits (PICs), or optical systems
• Experience with High Volume Manufacturing (HVM) ramps or new product introduction (NPI) data workflows
• Familiarity with semiconductor test data formats (STDF, WAT, parametric data)
• Experience building data quality frameworks or monitoring systems
• Experience with AI/ML tools applied to manufacturing or engineering data

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

About the Role

We are looking for a highly skilled Senior Data Engineer to become part of our core Data & AI Engineering team. In this pivotal role, you will be responsible for designing and expanding enterprise-level data infrastructure that enables ZoomInfo's internal teams to interact with data comprehensively—extracting, exploring, analyzing, and generating insights—through various platforms using ZI's internal chat agent

The ideal candidate has a strong background in big data processing, pipeline orchestration, and data modeling, with a proven track record of delivering scalable and high-quality data solutions in fast-paced, data-centric product environments. Given the dynamic nature of emerging technologies, this role requires an individual who excels at exploration and embraces continuous learning as core responsibilities. You'll constantly research and implement innovative solutions while integrating vast, diverse data sources into our AI applications, including our industry-leading LLM-powered systems

What you’ll do:

• Design, develop, and maintain high-performance, product-centric data pipelines using Airflow, DBT, and Python.
• Architect and optimize the massive-scale data warehouse and lakehouse that serves as our single source of truth for all customer data, primarily using Snowflake.
• Lead the integration of diverse structured and unstructured data sources (e.g., web data, third-party APIs) into our data ecosystem, ensuring high-quality and reliable ingestion.
• Implement and enforce Model Context Protocol (MCP) or similar architectures to feed accurate and contextual data into our LLM-powered products for applications like Retrieval Augmented Generation (RAG) and advanced search.
• Collaborate with ML engineers, data scientists, and product managers to translate business needs into scalable data solutions that directly enhance customer value.
• Define, monitor, and enforce data quality SLAs across all pipelines and products, ensuring data accuracy and lineage are a top priority.
• Mentor and coach junior engineers, promoting best practices in code quality, data architecture, and operational excellence.
• Participate in architectural decisions and long-term strategy planning for our enterprise-wide data infrastructure, with a focus on cost, performance, and reliability.

What you bring:

• Expert-level SQL for building performant, scalable queries and transformations on massive datasets.
• Strong Python programming skills with a focus on distributed computing, data manipulation, and building robust APIs.
• Production-level experience for large-scale batch and streaming data processing.
• Hands-on experience with DBT (Data Build Tool) for advanced data modeling and transformations in a modern data stack.
• Deep knowledge of Snowflake data warehouse design, optimization, and cost modeling.
• Experience implementing Model Context Protocol (MCP) or similar architectures to feed structured and unstructured data into LLM-powered systems.
• Strong understanding of data architecture concepts, including data lakes, event-driven architectures (e.g., Kafka), ETL/ELT, and data mesh.
• Proficiency with cloud platforms (GCP and/or AWS) and infrastructure as code (e.g., Terraform).

Nice to Have

• Familiarity with LLMOps, LangChain, or RAG (Retrieval Augmented Generation) pipelines.
• Experience with building embedding models or pipelines for Named Entity Recognition (NER).
• Knowledge of data cataloging tools (e.g., OpenLIneage, etc.) and lineage tracking.
• Familiarity with other distributed systems and databases (e.g., DynamoDB, Flink).

Required Non-Technical Skills

• Excellent communication skills – ability to explain complex technical concepts to both engineering teams and non-technical stakeholders.
• Strategic & Product-Oriented Thinking – can translate business objectives and customer needs into scalable, high-impact data solutions.
• Leadership & Mentorship – experience guiding and uplifting engineering teams to achieve their full potential.
• Stakeholder Management – able to collaborate effectively across departments (Product, Engineering, Sales, Compliance).
• Agility & Adaptability – thrives in ambiguous, evolving environments and can rapidly prototype and iterate on solutions.
• Strong documentation habits and ability to evangelize best practices across the organization.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 8+ years of progressive experience in data engineering, with a track record of leadership and impact.

Demonstrated experience in implementing or scaling data infrastructure for a data-centric product company.

#LI-AR2

#LI-REMOTE

WHAT YOU’LL DO

Join our passionate Business Intelligence Engineering team focused on building and maintaining robust data pipelines and products that enable better decision-making across Braze. You’ll work alongside talented engineers and stakeholders across the business to support data infrastructure, develop reliable metrics, and implement data processes that scale with our growth.

Responsibilities:

• Partner with stakeholders to clarify requirements and translate them into scalable data models, definitions of metrics, and sustainable dbt implementations
• Own and evolve the semantic layer alongside curated warehouse models: define reusable metrics and dimensions
• Partner with analytics and data engineering on the metric lifecycle (definition, approval, deprecation), documentation, and lineage from semantic objects through to downstream consumers
• Raise the bar on data quality: design and maintain tests, monitoring to keep metrics consistent as the business scales
• Design and communicate data flows, dependencies, and SLAs for your areas; coordinate with Data Engineering and platform teams where orchestration, warehouse behavior, or access patterns affect reliability or cost
• Mentor engineers and analysts through code review, pairing, and shared standards so the whole BI engineering practice ships faster with fewer incidents

WHO YOU ARE

The ideal candidate for this role possesses:

• 5+ years of experience in business intelligence, analytics engineering, or data engineering, with substantial time on cloud data warehouses and SQL-first analytics engineering
• Expert-level SQL and strong data modeling skills and metric design that survives real-world edge cases
• Deep hands-on experience with dbt (projects, packages, tests, documentation, CI-oriented workflows) and Snowflake (or a comparable warehouse), including optimization and operational awareness
• Hands-on experience building or maintaining a semantic layer—modeling metrics and dimensions for governed consumption, with clear documentation, drill and aggregation behavior, and access patterns suited to both self-serve and curated reporting
• Familiarity with orchestrated pipelines (for example Airflow or similar) and how upstream freshness and quality affect downstream marts and metrics
• Excellent communication with technical and non-technical partners; ability to prioritize, push back constructively, and anticipate downstream impact of model and metric changes

For candidates based in Ontario, the pay range at the start of employment for this position is expected to be between CA$112,000 - CA$168,000/year, with an expected On Target Earnings (OTE) between CA$128,000 - CA$193,000/year (including performance-based or variable compensation (bonus or commission). Your particular offer may vary depending on multiple individual 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.

Viral Nation is seeking an AI Integration Engineer, AI/ML to serve as the primary technical engine translating high-level architectural visions into production-ready reality. Reporting directly to the Principal Architect, AI/ML and VP of Engineering, you will be responsible for the hands-on development, integration, and deployment of AI/ML models and agentic workflows within our GCP ecosystem.

What You'll Do Here:

• You will transform the Principal Architect’s reference architectures into scalable, deployable code using Python, GKE, and Cloud Run.
• Your primary focus involves building out agentic ecosystems using Google ADK (Agent Development Kit) and Model Context Protocol (MCP), specifically focusing on the Agent-to-Agent (A2A) orchestration patterns defined by the Architect.
• You will apply advanced prompt engineering and context engineering techniques to optimize LLM performance, ensuring agents maintain state and accuracy over long interactions.
• You will develop and tune high-fidelity RAG pipelines using the Google RAG Engine and Agent Engine to ensure agents have the precise context required for influencer marketing workflows.
• The role requires applying machine learning techniques to our massive datasets to implement automated anomaly detection, forecasting, and trend analysis.
• You will perform advanced data science and analysis by generating and querying high-dimensional video and text embeddings to extract insights from social media content.
• You will integrate Gemini and Model Garden LLMs into production applications while managing the technical nuances of token limits and context window optimization.
• Partnering with the Architect, you will implement MLOps practices that track agent performance, cost-efficiency, and ethical AI safeguards within the GCP IAM framework.

What You'll Need To Have:

• Advanced proficiency in Python is required for AI/ML backend development, data analysis, and API construction.
• You must possess a deep understanding of prompt engineering strategies (Chain-of-Thought, ReAct) and context engineering to maximize model reasoning capabilities.
• The position demands deep hands-on experience with Google ADK, MCP, Vertex AI Pipelines, and the Google RAG Engine.
• You should have practical experience applying classical ML algorithms for regression, forecasting, and anomaly detection on large-scale datasets.
• The role requires a strong understanding of vector databases and the manipulation of video/text embeddings for semantic search and classification.
• Deep experience with utilizing GitHub Actions to support the SDLC workflows and CI/CD standards established by the Principal Architect.

Nice To Haves

• Experience utilizing Snowflake Cortex Analyst, Cortex Search, and Snowflake Intelligence ecosystem.
• Proficiency in Node.js for full-stack integration layer and tool development is highly regarded.
• Prior experience in the digital marketing or influencer marketing space is a significant advantage.
• Experience with containerization and orchestration using Docker and GKE will help scale our autonomous systems.

Viral Nation is seeking an AI Integration Engineer, AI/ML to serve as the primary technical engine translating high-level architectural visions into production-ready reality. Reporting directly to the Principal Architect, AI/ML and VP of Engineering, you will be responsible for the hands-on development, integration, and deployment of AI/ML models and agentic workflows within our GCP ecosystem.

What You'll Do Here:

• You will transform the Principal Architect’s reference architectures into scalable, deployable code using Python, GKE, and Cloud Run.
• Your primary focus involves building out agentic ecosystems using Google ADK (Agent Development Kit) and Model Context Protocol (MCP), specifically focusing on the Agent-to-Agent (A2A) orchestration patterns defined by the Architect.
• You will apply advanced prompt engineering and context engineering techniques to optimize LLM performance, ensuring agents maintain state and accuracy over long interactions.
• You will develop and tune high-fidelity RAG pipelines using the Google RAG Engine and Agent Engine to ensure agents have the precise context required for influencer marketing workflows.
• The role requires applying machine learning techniques to our massive datasets to implement automated anomaly detection, forecasting, and trend analysis.
• You will perform advanced data science and analysis by generating and querying high-dimensional video and text embeddings to extract insights from social media content.
• You will integrate Gemini and Model Garden LLMs into production applications while managing the technical nuances of token limits and context window optimization.
• Partnering with the Architect, you will implement MLOps practices that track agent performance, cost-efficiency, and ethical AI safeguards within the GCP IAM framework.

What You'll Need To Have:

• Advanced proficiency in Python is required for AI/ML backend development, data analysis, and API construction.
• You must possess a deep understanding of prompt engineering strategies (Chain-of-Thought, ReAct) and context engineering to maximize model reasoning capabilities.
• The position demands deep hands-on experience with Google ADK, MCP, Vertex AI Pipelines, and the Google RAG Engine.
• You should have practical experience applying classical ML algorithms for regression, forecasting, and anomaly detection on large-scale datasets.
• The role requires a strong understanding of vector databases and the manipulation of video/text embeddings for semantic search and classification.
• Deep experience with utilizing GitHub Actions to support the SDLC workflows and CI/CD standards established by the Principal Architect.

Nice To Haves

• Experience utilizing Snowflake Cortex Analyst, Cortex Search, and Snowflake Intelligence ecosystem.
• Proficiency in Node.js for full-stack integration layer and tool development is highly regarded.
• Prior experience in the digital marketing or influencer marketing space is a significant advantage.
• Experience with containerization and orchestration using Docker and GKE will help scale our autonomous systems.

The role

Benefits

🩺 Health Insurance coverage (Canada Life)

⛱ Flexible Paid Time Off

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

🐣 Paid Family leave.

🕯 Compassionate Leave: 3-5 days each time the need arises

🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly.

🧘🏽‍♀️ Wellness perks: fitness subsidies to build a healthy lifestyle

👩🏾‍🏫 Personalized Spanish coach

🚀 Awesome opportunity to join a company that is looking to change how we eat and how chefs work!

As a senior technology leader, you will help build our technology platform to enable 10 million change-makers to deliver a billion acts of goodness by 2025. We seek a platform-first Architect to lead enterprise patterns for reliable, governed, AI-driven, and cost-effective solutions at scale across our technology portfolio. You will design how data flows across the company, from ingestion to consumption, while ensuring our AI systems are secure, auditable, and maintainable. This role requires practical systems thinking and the ability to influence senior engineers and leadership toward consistent, enterprise-wide architecture outcomes that align our data and AI strategy with broader business goals.

If you're passionate about leveraging modern technology, data and AI for positive impact and eager to contribute to a mission-driven organization, we want to hear from you.

What you will do:

• Develop and maintain end-to-end tracks with our data and AI focus technology strategy and architectural portfolio
• Mentor engineers and technical leadership by providing clear patterns, ensuring adherence to architectural patterns, and offering hands-on guidance for complex implementations
• Lead architecture decisioning through Architecture Decision Records (ADRs), standards, and design reviews
• Oversee architectural reviews, code reviews, and system performance analysis to ensure quality standards and sustainable delivery momentum
• Foster a culture of collaboration, knowledge sharing, and continuous learning through mentorship, team collaboration, and workshops
• Enable governed data consumption through clear data contracts, curated datasets, and consistent serving patterns including domain marts
• Standardize end-to-end data flow patterns including ingestion, transformation, storage, serving, and retirement with repeatable templates
• Set platform standards for orchestration and reliability including SLAs, retries, idempotency, backfills, runbooks, and operational dashboards
• Establish enterprise data quality practices including critical data elements, quality rules, validation layers, monitoring, and issue triage workflows
• Drive governance-by-design by embedding metadata, lineage, classification, and ownership into platform patterns
• Drive adoption of AI governance architecture for agentic solutions including controls for data privacy and model lifecycle
• Define AIOps standards ensuring AI systems have traceability, quality measurement, incident response readiness, and cost guardrails
• Collaborate with stakeholders and product management to identify, prioritize, and mitigate technical risks and challenges
• Stay informed about industry regulations, security standards, and compliance requirements to ensure solutions meet necessary standards

What you’ll bring:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• 7+ years in software development methodologies, architecture, and implementation of large scale enterprise systems
• 4+ years focused on data engineering, data management, or data platform architecture and designing AI solutions including AIOps practices
• Structured problem solving to turn ambiguous requirements into scalable, low-cost solution patterns
• Ability to think strategically while paying close attention to technical details
• Proven experience building or evolving an enterprise data platform including standards and adoption across multiple teams
• Demonstrated ability to design governance-ready AI solutions including evaluation strategies, privacy safeguards, and auditability
• Strong expertise in system architecture, cloud computing, distributed systems, and integration technologies
• High bar for operational readiness, actionable documentation, and treating governance as a built-in platform feature
• Deep experience across modern data platform capabilities including AWS Glue, Step Functions, Airflow, dbt, Spark, and Snowflake
• Proficiency in programming and analytics using Python, SQL, and Jupyter Notebooks
• Experience with agentic frameworks such as LangChain, LlamaIndex, or LangGraph and AIOps tooling like LangFuse
• Familiarity with Agile development methodologies and the ability to adapt to a fast-paced environment
• Strong understanding of security principles, performance optimization, scalability, and reliability
• Demonstrated influence towards simplicity and repeatability in architecture

Nice to Have:

• Experience operating in regulated environments, (SOC2, ISO 27001, or GDPR).
• Familiarity with federated domain ownership models, where domains ship data products while the platform provides shared standards and tooling.
• Experience designing and scaling platform observability for data pipelines, streaming systems, and AI services.
• Familiarity with medallion architecture patterns
• Experience in modern data platform capabilities, including:
• Streaming: Apache Kafka, AWS MSK, AWS Kinesis, GCP Pub/Sub
• Metadata and governance: DataHub, Atlan or similar

Analytics Engineer   

We are seeking an experienced Analytics Engineer to join our Data Solutions team in North America. This role will combine technical expertise with strategic vision to drive the adoption and optimization of Sigma across our client base and internal teams.  

Ideal candidates will be able to:  

• Lead the development and implementation of visualizations that communicate complex data analyses to non-technical audiences showcasing best practices and innovative approaches using tools such as  

• Establish and manage the Business Intelligence Center of Excellence, creating standards, guidelines, and training materials  

• Collaborate with cross-functional teams to design and implement data solutions that align with client business objectives  

• Manage the analytics engineering and visualization lifecycle, including research, proof of concepts, architecture, design, development, testing, and maintenance  

• Generate visualizations that communicate complex data analyses to non-technical audiences  

• Partner with client stakeholders to foster the adoption of best data management practices  

• Mentor and develop junior team members  

• Support sales cycles by leading scoping discussions and building proof of concept solutions  

• Stay current with Business Intelligence tools and visualizations updates and industry trends, sharing knowledge across the organization  

Qualifications:  

• 5+ years of experience in data analytics, business intelligence, or related field  

• 2+ years of experience in Sigma Computing with advanced proficiency in other tools such as PowerBI, Looker, Omni etc  

• Strong SQL skills and experience with cloud data platforms (e.g., Snowflake, Azure, AWS)  

• Experience with modern data stack tools such as dbt, Fivetran, Matillion, or similar  

• Familiarity with Python and other programming languages used in data analysis  

• Understanding of data architecture, data warehousing, and ETL/ELT processes  

• Excellent communication and presentation skills, with the ability to explain complex concepts to non-technical audiences  

• Experience in consulting or client-facing roles  

• Track record of successful project delivery using Agile methodologies  

Personal Qualities:  

• Passionate about data and its potential to drive business value  

• Strong leadership and mentoring abilities  

• Proactive problem-solver with a results-oriented mindset  

• Adaptable and eager to learn new technologies and methodologies  

• Excellent interpersonal skills with a people-first mentality  

Join us in revolutionizing how businesses leverage Sigma and analytics to drive success!  

What You'll Be Doing:

• Design and build scalable data pipelines, batch jobs, and streaming processes that power analytics and machine learning.
• Implement and optimize data storage systems (warehouses, lakes, analytical databases) with a focus on reliability, lineage, and governance.
• Develop tools and frameworks to support data orchestration, ETL workflows, and big data processing.
• Collaborate with engineers, data scientists, and product managers to align platform capabilities with business needs.
• Ensure data systems meet requirements for quality, scalability, and cost efficiency in cloud environments.
• Contribute to technical discussions, code reviews, and system design sessions.
• Take ownership of features and projects, driving them from concept to production.

Software Engineer, Financial Systems

Team: IT, Security, and Corporate Engineering
Location: Toronto

About the Role

At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.

We are eliminating the manual work that slows down operations.  We’re building AI-driven automation that closes the books faster, eliminates repetitive workflows, and gives Finance teams real-time insights without human intervention.  You’ll architect the systems that power thousands of real estate transactions monthly with audit-ready precision while enabling Finance to move fast and operate efficiently.

What You'll Do

• Build intelligent automation that eliminates manual financial workflows, from journal entries to reconciliations to month-end close processes, using AI agents and workflow orchestration.
• Design and own integrations connecting enterprise resource planning (ERP), spend management, banking, and data warehouse systems that power real-time financial operations.
• Partner with Finance, Procurement, Accounting, Accounts Payable and Capital Markets stakeholders to understand their workflows, identify automation opportunities, and deliver software solutions that increase their speed and efficiency.
• Implement observability, monitoring, and reliability practices for production financial data systems that process millions of transactions daily.
• Apply software engineering best practices (CI/CD, Infrastructure as Code, automated testing, code review) to financial systems traditionally managed through manual configuration.

Tech Stack

• Financial Platforms: NetSuite (ERP), Ramp (spend management), bank APIs
• Data & Analytics: Snowflake, dbt, Airflow/Dagster, Quicksight
• Languages: Python, Go, SQL, TypeScript/Node.js
• Infrastructure: AWS, Terraform, Docker, GitHub Actions
• AI & Automation: LLMs (Claude, OpenAI), agent frameworks, workflow orchestration

What You'll Need

• Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to eliminate manual work by replacing spreadsheets and close processes with automated systems.
• 8+ years of software engineering experience with strong skills in Python, Go, or similar languages, including API design, systems integration, and automation.
• Experience with modern data platforms (Snowflake or similar), SQL, and building reliable data pipelines.
• Strong experience with cloud platforms (AWS preferred) including CI/CD, Infrastructure as Code, and running production services.
• Proven problem-solving ability to understand complex business workflows, identify automation opportunities, and design elegant technical solutions
• Humility and genuine curiosity. You're as excited to automate journal entries as you are to architect distributed systems, and you see eliminating mundane work as deeply meaningful engineering. You genuinely enjoy understanding user needs, partnering with non-technical stakeholders, and building software that makes their work easier.

Bonus Points For

• Experience with financial/ERP systems (NetSuite, Oracle, SAP, Workday) or fintech platforms.
• Understanding of financial concepts (General Ledger, Accounts Payable, month-end close, Sarbanes-Oxley controls).
• Track record building AI-powered automation, workflow orchestration, or internal tools.
• M.S. in Computer Science.

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-RO

As the Data Analyst, Finance at 7shifts, reporting to the Manager of Data & Analytics, you will act as a dedicated, embedded partner to our Finance team. You’ll serve as the strategic bridge between the central data function and the finance group, helping leadership measure what matters, uncover trends, and identify risks. Your expertise will guide the development of Finance-specific dashboards, forecast models, and automated reporting cadences that inform critical decisions. You’ll also be supported by a collaborative data team, including other analysts, analytics engineers, data engineers, and leaders, who work together to enable data-driven decisions across the company.

What you’ll do:

• Act as the primary, embedded data partner for the Finance team, participating in key cross-functional meetings to translate complex business questions into clear analytical frameworks
• Translate finance datasets into business narratives, proactively identifying patterns (e.g., Churn trends, Coupon Integrity) and leakages before they impact the bottom line
• Build, maintain, and own finance-specific dashboards, combining central "source of truth" data with finance-owned business logic 
• Automate and streamline data preparation for key operational cadences, including monthly business reviews, to reduce manual lift and increase speed to insight
• Develop and maintain data models using dbt and SQL to transform raw data into clean, reliable, and scalable datasets for analysis and reporting
• Maintain deep subject matter expertise on all core "finance data" definitions, tools, and roadmaps to ensure analysis is aligned with the central source of truth
• Effectively present findings and recommendations to both technical and non-technical audiences in a clear and actionable way

What you bring:

• Experience delivering financial analysis in support of finance teams
• Strong proficiency in SQL with the ability to write complex queries and work with large datasets
• Hands-on experience with BI tools such as Tableau, Looker, or Power BI (bonus if you’ve used Thoughtspot)
• Experience building and maintaining data models using dbt
• Background in business, analytics, or a technical field 
• Proven ability to collaborate effectively with cross-functional teams
• Strong communication and collaboration skills, with the ability to work with cross-functional teams and present data concepts to non-technical audiences
• Experience working in a SaaS with a deep understanding of key metrics such as ARR, Churn, and Net Revenue Retention

It’d be even cooler if you had:

• Worked with Snowflake or other cloud-based data warehouses
• Hands-on experience leveraging CRM (e.g., Salesforce) platforms and billing systems (e.g., Stripe) to understand the end-to-end customer lifecycle
• Previous experience in a finance data analyst role

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

Compensation

The base compensation range for this position is CAD $78,000 - CAD $115,000. 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.

What You Will Do

As an Integration Consultant on our Data Solutions team, you'll be responsible for scoping, designing, implementing, and testing integration solutions across a wide range of enterprise platforms. Working closely with client partners, you'll develop relationships with key technical stakeholders while delivering measurable business value through well-architected, maintainable integrations. You'll contribute across the full project lifecycle, from pre-sales and discovery through deployment and client enablement, and collaborate with teammates across CLM, Salesforce, and Data practices.

Ideal candidates will be able to:

• Design and implement API-based integrations using REST and SOAP principles across cloud and on-premise systems
• Build and test integrations using middleware platforms including Workato, MuleSoft, Boomi, Celigo, or similar tools
• Use Postman (or equivalent) for API exploration, testing, scripting, and automation
• Develop integrations connecting platforms such as Salesforce, DocuSign CLM / SpringCM, Snowflake, NetSuite, Workday, and other enterprise business systems
• Translate client business requirements into clear integration specifications, field mappings, and data flow documentation
• Troubleshoot complex integration failures including authentication issues, payload formatting, and API versioning conflicts
• Support data migration projects involving staging, transformation, and validation of records across systems
• Contribute to pre-sales activities including scoping, estimation, and solution design

Qualifications

• Bachelor's degree or higher
• 3–6 years of professional consulting or relevant industry experience, including enterprise system implementations or integration development
• Solid understanding of API fundamentals — REST, SOAP, OAuth 2.0, JSON/XML, webhooks, and error handling patterns
• Hands-on experience with Postman for API testing, scripting, and collection-based workflows
• Experience configuring or developing on at least one major middleware platform (Workato, MuleSoft, Boomi, or similar)
• Familiarity with Salesforce data structures, APIs (REST, Bulk, Metadata), and data movement patterns
• Exposure to CLM platforms such as DocuSign CLM / SpringCM, Ironclad, or Agiloft is a strong plus
• Excellent communication skills — able to explain technical concepts clearly to both technical and non-technical audiences
• Ability to manage day-to-day client relationships and maintain a prioritized workstream independently

Nice to Have:

• Certifications in Workato, MuleSoft, Salesforce, or similar platforms
• Experience with SQL or Python for data transformation and scripting
• Exposure to CLM workflow configuration or document automation
• Exposure to CRM systems, sales processes, revenue pipelines, customer service, etc.
• Familiarity with CI/CD practices, version control (GitHub/Bitbucket), or agile delivery methodologies
• Knowledge of ERP systems such as NetSuite, SAP, or Workday in an integration context
• Experience with AI-assisted tooling or emerging integration patterns
• Experience migrating data into Salesforce

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

About Human Agency

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.

The Opportunity

At Human Agency, we are shaping the future by combining cutting-edge AI solutions with intuitive software development. We specialize in building scalable and secure SaaS applications that empower enterprise clients to solve complex problems efficiently. As part of our team, you'll work on high-impact projects at the intersection of AI, machine learning, and secure software engineering.

We’re seeking a Senior Full-Stack Engineer to join our growing team. In this role, you'll lead development initiatives, contribute to our SaaS products, and tackle exciting challenges in backend architecture, frontend design, and AI/ML integrations with a particular focus on generative AI technologies.

Responsibilities

SaaS Application Development

• Detection:
• Develop backend algorithms to process articles, chunk content, and integrate with LLMs for predictive text generation.
• Build APIs and services to manage and scale the application’s content workflow.
• Protection:
• Create secure PDF upload workflows with encryption to ensure compatibility with Adobe Acrobat.
• Integrate authentication mechanisms like Okta for enterprise customer admin management.
• Enable data recovery, auditing capabilities, and enterprise-grade administrative tools.

AI/ML and Algorithm Development

• Collaborate with AI/ML teams to operationalize models such as OCR (Optical Character Recognition) and generative AI-based solutions (e.g., GPT models).
• Implement RAG (Retrieval-Augmented Generation) use cases using vector databases and data embedding techniques to enhance application functionality.
• Design workflows for large-scale data processing that enable efficient AI integrations and create dynamic AI-first features, such as custom GPTs tailored to enterprise needs.

DevOps & Operationalization

• Establish CI/CD pipelines and formal release structures for software delivery.
• Conduct security evaluations to identify vulnerabilities and optimize performance across AI-driven SaaS applications.
• Manage infrastructure and workflows for custom AI solutions, including tools like Snowflake and LangChain.

Future-Focused Development

• Build integrations and proof-of-concept applications leveraging company-specific datasets and AI technologies.
• Evaluate and implement tools for classification, indexing, and secure data management that incorporate the latest in generative AI advancements.
• Support the development of enterprise-grade AI solutions, including internal AI models and custom LLMs.

Requirements

Core Technical Skills

• Proficiency in Python and Ruby on Rails, with significant backend experience.
• Experience in designing secure systems, including encryption workflows and document protection mechanisms.
• Hands-on expertise in integrating generative AI tools, such as OpenAI APIs, LangChain, or Hugging Face frameworks, into SaaS applications.
• Strong knowledge of RAG techniques, vector databases (e.g. Pinecone, Weaviate), and embedding pipelines.
• Ability to operationalize AI/ML models and build workflows for enterprise clients.
• Frontend development experience in modern frameworks (e.g, React, Vue), with the ability to assess and recommend appropriate tech stacks.

Nice-to-Have Skills

• Computer vision and OCR expertise, especially for processing and indexing complex document workflows.
• Experience with authentication systems (e.g., Okta) and enterprise administrative tools.
• Experience in DevOps, CI/CD pipelines, and secure release management.
• Background in security evaluations, vulnerability assessments, and tool integrations.

Other Requirements

• Strong testing background with experience in automated and manual testing.
• Ability to manage data recovery, audits, and compliance workflows.
• Strong problem-solving and analytical skills, with attention to detail in complex environments.
• Excellent communication skills and the ability to work collaboratively across teams.

Why Join Us?

• Be part of a cutting-edge team solving complex problems in AI and SaaS development.
• Work on impactful projects with enterprise clients and cutting-edge technologies.
• Grow your career in a collaborative, innovative, and supportive environment.

If you're excited about working on secure, scalable systems while integrating advanced AI and ML capabilities, we’d love to hear from you.

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.

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

About The Role

We’re hiring a Senior Paid Search Manager to lead strategy, execution, experimentation, and measurement across Google Ads and Microsoft Ads in a dynamic, multi-market footprint. You’ll push the frontier on AI-driven search, using modern search best practices—while building a rigorous testing framework and connecting paid search with SEO, AEO, and Social Search to win the evolving SERP. You’ll partner closely with Analytics, Product, Data Science, and Finance to align on the right optimization signals (e.g. ToF and qualified downstream events), ensure clean data pipelines, and drive measurable, durable growth.

What You’ll Do

Lead the search program end-to-end

• Own account structure, campaign taxonomy, bidding strategy, and budget/pacing strategy.

• Architect Performance Max (asset groups, audience signals, feeds, creative inputs) and core Search (RSA; DSA where appropriate).

Apply AI to scale performance and quality

• Leverage platform AI and custom automation (scripts/API) for query mapping, asset/creative generation and rotation, anomaly detection, bid/budget reallocation, and pacing.

• Pilot and productionize LLM-powered workflows for keyword/negative expansion, ad copy/asset ideation, and performance summarization.

Build a rigorous testing framework

• Design and run structured experiments (geo splits, incrementality tests, asset/audience match type tests) with pre-registered hypotheses, power checks, and clear decision rules.

• Maintain an experiment registry and codify learnings; scale winners quickly and sunset underperformers.

Elevate measurement and signal quality

• Partner with Analytics/Eng to implement enhanced conversions, offline conversion imports, and robust tagging; maintain auditable event taxonomies and conversion labels.

• Shift optimization toward higher-intent primary actions, balancing low- vs. high-latency events; implement value rules and tCPA/tROAS aligned to drive efficient CAC

• Ensure reliable data flows into warehouse/BI (e.g., Snowflake + QuickSight) and maintain single source-of-truth dashboards.

Drive geo precision and market governance

• Manage DMA/City/ZIP targeting, on/off market lists, exclusions, and budget allocation by region; ensure brand defense and healthy non-brand coverage.

Orchestrate SEO/AEO/Social Search convergence

• Build a unified query universe and avoid cannibalization; coordinate with SEO on content pillars, schema/FAQs, and internal linking to improve organic rankings and AI Overviews presence.

• Partner with Brand/Social to translate search insights into search-first content (YouTube, Reddit, TikTok), connect creator/social search to paid capture, and harmonize SERP/share-of-answer strategy.

Cross-functional and partner leadership

• Collaborate with Product/Eng on site speed, landing experiences, and signal latency reduction; align with Finance/Procurement on budgets, invoicing, and reconciliations.

• Manage Google/Microsoft relationships; prioritize relevant betas and escalate technical issues (API, data discrepancies) to resolution.

• Uphold privacy, compliance, and category policies (e.g., housing-related ad policies); enforce QA and brand safety standards.

Document and scale

• Maintain clear SOPs, naming conventions, SLAs, and QA checklists to ensure reliable operations as the program grows.

What You’ll Need

• 7+ years operating and scaling paid search across Google Ads and Microsoft Ads with multi-market complexity.

• Deep expertise with modern search (broad match + Smart Bidding), audience strategies, and RSA/asset testing at scale.

• Hands-on AI/automation experience: platform AI features, scripts/API, LLM-assisted workflows for ad ops and analysis; comfort evaluating and integrating new AI tools responsibly.

• Experimentation and measurement chops: geo experiments, incrementality testing, pre/post analysis, value-based bidding; MMM/MTA familiarity a plus.

• Data and tooling fluency: GTM, GA4 (or equivalent), BI dashboards; familiarity with cloud data warehouses (e.g., Snowflake) and data QA best practices; SQL is highly preferred.

• Proven success migrating to higher-intent optimization (enhanced conversions, offline conversion imports, consent-aware tagging) and tying media to downstream business impact.

• Exceptional communication and stakeholder management; can translate complexity into clear decisions and influence across Marketing, Product, Analytics, and Finance.

• Bias to action, high ownership, and meticulous operational hygiene (naming, labels, budgets, and pacing).

• Excellent communication, prioritization, and stakeholder management; thrives in ambiguity, moves with urgency, and maintains a high quality bar.

• Ownership mindset with flexibility to switch between strategy and hands-on execution.

Preferred

• Experience in real estate, fintech/proptech, or performance-driven consumer brands.

• Working knowledge of SEO, AEO (Answer/AI Engine Optimization), and Social Search mechanics; experience coordinating paid and organic

• Strategies across SERP surfaces, YouTube, Reddit, and TikTok search.

• Experience with feed management, landing page experimentation, and collaboration with Creative/Brand on search-first storytelling.

How We Measure Success

• Efficiency and impact: CAC/CPA, CPQL, incremental contribution, qualified pipeline

• Brand vs. non-brand efficiency; impression share/share of voice.

• Experiment velocity and impact: test cadence, time-to-decision, percent of budget behind proven winners, and documented learnings adopted cross-channel.

• Data quality and automation: tag/conversion health SLAs, offline match rates, dashboard accuracy, percent of workflows automated, anomaly detection 

• Convergence impact: blended paid+organic SOV on priority queries, reduction in cannibalization, presence/share in AI Overviews and Social Search, and improvements to search-driven landing experiences.

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.

Software Engineer, Financial Systems

Team: IT, Security, and Corporate Engineering
Location: Seattle, Washington

About the Role

At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.

We are eliminating the manual work that slows down operations.  We’re building AI-driven automation that closes the books faster, eliminates repetitive workflows, and gives Finance teams real-time insights without human intervention.  You’ll architect the systems that power thousands of real estate transactions monthly with audit-ready precision while enabling Finance to move fast and operate efficiently.

What You'll Do

• Build intelligent automation that eliminates manual financial workflows, from journal entries to reconciliations to month-end close processes, using AI agents and workflow orchestration.
• Design and own integrations connecting enterprise resource planning (ERP), spend management, banking, and data warehouse systems that power real-time financial operations.
• Partner with Finance, Procurement, Accounting, Accounts Payable and Capital Markets stakeholders to understand their workflows, identify automation opportunities, and deliver software solutions that increase their speed and efficiency.
• Implement observability, monitoring, and reliability practices for production financial data systems that process millions of transactions daily.
• Apply software engineering best practices (CI/CD, Infrastructure as Code, automated testing, code review) to financial systems traditionally managed through manual configuration.

Tech Stack

• Financial Platforms: NetSuite (ERP), Ramp (spend management), bank APIs
• Data & Analytics: Snowflake, dbt, Airflow/Dagster, Quicksight
• Languages: Python, Go, SQL, TypeScript/Node.js
• Infrastructure: AWS, Terraform, Docker, GitHub Actions
• AI & Automation: LLMs (Claude, OpenAI), agent frameworks, workflow orchestration

What You'll Need

• Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to eliminate manual work by replacing spreadsheets and close processes with automated systems.
• 8+ years of software engineering experience with strong skills in Python, Go, or similar languages, including API design, systems integration, and automation.
• Experience with modern data platforms (Snowflake or similar), SQL, and building reliable data pipelines.
• Strong experience with cloud platforms (AWS preferred) including CI/CD, Infrastructure as Code, and running production services.
• Proven problem-solving ability to understand complex business workflows, identify automation opportunities, and design elegant technical solutions
• Humility and genuine curiosity. You're as excited to automate journal entries as you are to architect distributed systems, and you see eliminating mundane work as deeply meaningful engineering. You genuinely enjoy understanding user needs, partnering with non-technical stakeholders, and building software that makes their work easier.

Bonus Points For

• Experience with financial/ERP systems (NetSuite, Oracle, SAP, Workday) or fintech platforms.
• Understanding of financial concepts (General Ledger, Accounts Payable, month-end close, Sarbanes-Oxley controls).
• Track record building AI-powered automation, workflow orchestration, or internal tools.
• M.S. in Computer Science.

Compensation

The base pay range for this position is $198,000 - $271,000 USD annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO