Snowflake Jobs in Toronto.
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Account Manager, CPG Partnerships
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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
Compensation
Actual compensation within the pay range listed below will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. Base salary is localized according to employee work location.
In addition to base salary, the compensation for this role includes opportunities for equity grants and sales commission. Talk to your recruiter for more information.
DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package for all regular employees, that includes paid time off, paid parental leave, wellness benefit and several paid holidays.
Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, disability and basic life insurance, an RRSP including an employer match, and a mental health program, among others.
To learn more about our benefits, visit our careers page here.
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
If you need any accommodations, please inform your recruiting contact upon initial connection.
Ready to apply?
Apply to DoorDash Canada
Senior Analyst, Revenue Strategy and Operations
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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
Ready to apply?
Apply to OpenTable
Sales Operations Specialist
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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
As part of Ontario’s Pay Transparency requirements, TouchBistro is committed to open and equitable compensation practices. Our salary bands are designed to reflect the range of skills and experience needed for the position and to allow room for growth. The final offer amount for this role will depend on geographical region, applicable experience, and the skillset of the candidate.
Salary is based on relevant skills, experience, and internal equity. This posting reflects an existing vacancy. Artificial intelligence (AI) tools may be used to support parts of the recruitment and selection process; however, all hiring decisions are made by our hiring managers and recruitment team.
What We Offer
At TouchBistro, we are a diverse group of restaurant-obsessed, tech-loving people brought together by a mission to support the passion and success of restaurateurs. You can feel confident joining a fun, vibrant, and rapidly growing environment. You will be working alongside driven individuals who are passionate, innovative, accountable, collaborative, and respectful.
The Perks:
- Generous Time Off Program
- Health, Dental, and Vision Benefits
- Flexible Health and Wellness Plan
- Parental Leave & top up
- Employee Assistance Program
- Professional Development
- Volunteer Program
- Monthly Lunches
About Us
TouchBistro is an all-in-one Point-of-Sale and restaurant management system that makes running a restaurant easier. We have powered more than 29,000 restaurants around the world, and we know that while passion is plenty in the restaurant industry, time and money usually aren’t. Providing the most essential front of house, back of house and customer engagement solutions on one easy-to-use platform, TouchBistro helps restaurateurs streamline and simplify their operations, increase sales, drive revenue, and deliver a stellar guest experience.
TouchBistro believes in fostering an inclusive workplace where all individuals have an opportunity to succeed. Requests for accommodation due to a disability can be made at any stage of the recruitment process.
Ready to apply?
Apply to TouchBistro
Staff Analytics Engineer, Growth
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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.
Ready to apply?
Apply to HelloFresh
Data Engineer - Analytics Platform
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About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About this role:
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.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)
Ready to apply?
Apply to Faire
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
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Design and deploy AI agents that monitor business performance and surface actionable insights without being asked
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Architect systems that shift analytics from "answering questions" to "anticipating needs"
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Create intelligent alerting that distinguishes signal from noise and recommends specific actions
Create AI-Powered Analytics Tools
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Develop natural language interfaces that let business leaders query data conversationally
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Build semantic layers that translate business concepts into data structures optimized for LLM reasoning
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Ship internal tools that transform how Opendoor makes decisions at every level
Own the Analytics-to-Action Pipeline
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Design data models that support automated analysis, pattern detection, and AI agent interactions
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Build workflows that connect insight generation to recommended actions
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Establish feedback loops that make our AI systems smarter over time
Drive Leverage Across the Business
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Identify high-value opportunities where AI can augment human decision-making
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Implement end-to-end solutions using Claude, custom agents, and modern AI tooling
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Measure impact rigorously—we care about decisions influenced, not dashboards built
We're Looking for Teammates Who Have
Technical Foundation
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5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership
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Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption
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Strong Python proficiency for data engineering, automation, and AI agent development
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Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)
AI & Automation Expertise
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Hands-on experience building and deploying AI agents or LLM-powered applications in production
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Deep understanding of LLM capabilities, limitations, and prompt engineering best practices
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Experience architecting semantic layers or natural language interfaces for data access
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Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions
Analytics & Business Acumen
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Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions
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Strong analytical intuition—you know what questions matter before they're asked
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Experience translating ambiguous, cross-functional business problems into technical solutions
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History of operating autonomously and setting direction, not just executing on defined projects
Leadership & Influence
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Experience mentoring other analysts or engineers, formally or informally
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Demonstrated ability to influence senior stakeholders and drive alignment across teams
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Comfort operating in ambiguity and shaping strategy, not just responding to it
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Track record of building systems and processes that scale beyond yourself
Builder Mindset
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You ship products, not just dashboards
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You'd rather build something useful in a week than something perfect in a quarter
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You measure success by business impact, not technical complexity
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You're energized by creating leverage—building once so others benefit forever
Bonus Points If You Have
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Experience in real estate, fintech, or marketplace businesses
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Background in marketing analytics, sales operations, product analytics, or pricing/economics
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History of building tools or platforms that replaced recurring analyst work
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Experience leading technical projects or small teams
Ready to apply?
Apply to Opendoor
Senior Data Engineer
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About Gusto
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.
All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.
AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.
The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers.
We're looking for a Senior Data Engineer who can take loosely defined problems and drive them end-to-end—from framing the problem and aligning stakeholders to designing, building, and delivering durable data solutions. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.
Preferred Qualifications
- 8-10+ years of industry experience in data engineering building scalable data pipelines and data products
- Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
- Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations.
- Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams.
- Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.
- Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems
- Familiarity with monitoring, alerting, and incident response for production-grade data pipelines
- Proven ability to optimize performance and cost across data workflows and storage systems
- Functional understanding of how to leverage AI and automation in data engineering — building self-service tools, intelligent pipelines, and agents that automate repetitive tasks
- Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.
- Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership
Compensation Details
Our cash compensation amount for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.
Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.
When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.
Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.
Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.
Ready to apply?
Apply to Gusto, Inc.
AI Operations Engineer
Team: Technical Operations - AI Operations
About the Role
At Opendoor, AI isn't a side project - it's how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. The AI Operations team sits at the intersection of data, AI engineering, and operational systems.
You will help define the future of how we work across our Operations by building AI powered workflows, automation, and experiences that drive leverage across Operations. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.
You'll design systems and influence tooling decisions that affect how our operations scale – so we need people who think critically about what they build, why, the impact it will have on our operations and how to measure success.
We're looking for AI-native builders to join our team, blending Operational expertise and systems thinking to drive leverage across our teams. If you default to AI in how you approach work, you’ll fit right in.
Why Join Us
- Opportunity to shape AI Operations from the ground up
- Work on cutting-edge systems directly impacting our Customers and Operations
- Collaborate with talented engineers, data scientists, product teams, and operational teams
What You'll Do
- Turn ambiguous business problems into clear system designs, experiments, and implementation plans
- Identify and implement opportunities to improve our operational reliability, efficiency, and cost
- Prototype and ship rapid experiments that test improvements to workflows
- Evaluate build-vs-integrate decisions for AI tools and automation, with a bias toward scalable, maintainable solutions over one-off demos
- Build and maintain AI-powered automation, internal tools to improve how we work
- Assess and pressure-test system architectures — your own and others' — for scaling limitations, failure modes, and operational sustainability
- Maintain clean, trustworthy data through thoughtful schemas, audits, and dashboards that improve visibility and decision making
- Implement monitoring and alerting for model performance, latency, and drift detection
- Troubleshoot production issues and conduct root cause analysis
- Partner with data scientists and R&D to operationalize models
- Develop runbooks, documentation, and best practices for AI Operations
What We're Looking For
AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL, working with APIs, and stitching tools together to ship solutions fast.
Systems Thinking: You understand how data flows, business and systems objectives, how decisions get made, and how changes in one part of an operation ripple across others. You evaluate global vs. local trade-offs and can explain why a solution that works today might break at scale - before someone has to ask.
System Design: You take complex, messy problems and reduce them to simple, durable architecture. You know when to build custom vs. integrate existing tools, and you proactively identify scaling limitations before they become technical debt.
Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.
Impact Driven: You optimize for impact over novelty, choosing the right tools for the job rather than chasing trends with a long range horizon, observability to ensure performance, scalability and resiliency
Additionally:
- Familiarity with LLM deployment, context engineering and comfortable writing SQL
- Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring
- 5+ years of experience in operations and data experience
Tools and Technologies
You'll work across a range of tools and we expect this list to evolve. Current stack includes:
- AI coding assistants: Claude Code, Cursor, or similar
- Rapid prototyping tools: Lovable, Replit, Figma
- Workflow automation: Gumloop, Zapier, or similar platforms
- Experience with MCP integrations is a plus
- Experience with data platforms (Snowflake, Databricks) is a plus
- Background in agentic AI frameworks or building automation flows is a plus
Bonus Domain Expertise
You don't need deep expertise in all of these, but experience in one or more is a strong signal
- Pricing and valuation
- Sales,support, partnerships
- Home operations
- Homes support
Ready to apply?
Apply to Opendoor
About the Role
At Opendoor, AI isn't a side project - it's how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. The AI Operations team sits at the intersection of data, AI engineering, and operational systems.
You will help define the future of how we work across our Operations by building AI powered workflows, automation, and experiences that drive leverage across Operations. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.
You'll design systems and influence tooling decisions that affect how our operations scale – so we need people who think critically about what they build, why, the impact it will have on our operations and how to measure success.
We're looking for AI-native builders to join our team, blending Operational expertise and systems thinking to drive leverage across our teams. If you default to AI in how you approach work, you’ll fit right in.
Why Join Us
- Opportunity to shape AI Operations from the ground up
- Work on cutting-edge systems directly impacting our Customers and Operations
- Collaborate with talented engineers, data scientists, product teams, and operational teams
What You'll Do
- Turn ambiguous business problems into clear system designs, experiments, and implementation plans
- Identify and implement opportunities to improve our operational reliability, efficiency, and cost
- Prototype and ship rapid experiments that test improvements to workflows
- Evaluate build-vs-integrate decisions for AI tools and automation, with a bias toward scalable, maintainable solutions over one-off demos
- Build and maintain AI-powered automation, internal tools to improve how we work
- Assess and pressure-test system architectures — your own and others' — for scaling limitations, failure modes, and operational sustainability
- Maintain clean, trustworthy data through thoughtful schemas, audits, and dashboards that improve visibility and decision making
- Implement monitoring and alerting for model performance, latency, and drift detection
- Troubleshoot production issues and conduct root cause analysis
- Partner with data scientists and R&D to operationalize models
- Develop runbooks, documentation, and best practices for AI Operations
What We're Looking For
AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL, working with APIs, and stitching tools together to ship solutions fast.
Systems Thinking: You understand how data flows, business and systems objectives, how decisions get made, and how changes in one part of an operation ripple across others. You evaluate global vs. local trade-offs and can explain why a solution that works today might break at scale - before someone has to ask.
System Design: You take complex, messy problems and reduce them to simple, durable architecture. You know when to build custom vs. integrate existing tools, and you proactively identify scaling limitations before they become technical debt.
Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.
Impact Driven: You optimize for impact over novelty, choosing the right tools for the job rather than chasing trends with a long range horizon, observability to ensure performance, scalability and resiliency
Additionally:
- Familiarity with LLM deployment, context engineering and comfortable writing SQL
- Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring
- 5+ years of experience in operations and data experience
Tools and Technologies
You'll work across a range of tools and we expect this list to evolve. Current stack includes:
- AI coding assistants: Claude Code, Cursor, or similar
- Rapid prototyping tools: Lovable, Replit, Figma
- Workflow automation: Gumloop, Zapier, or similar platforms
- Experience with MCP integrations is a plus
- Experience with data platforms (Snowflake, Databricks) is a plus
- Background in agentic AI frameworks or building automation flows is a plus
Bonus Domain Expertise
You don't need deep expertise in all of these, but experience in one or more is a strong signal
- Pricing and valuation
- Sales,support, partnerships
- Home operations
- Homes support
Ready to apply?
Apply to Opendoor
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
Ready to apply?
Apply to Opendoor
About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About 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.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)
Ready to apply?
Apply to Faire
AI GTM Engineer
Share this job
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.
Ready to apply?
Apply to MaintainX
About Forma.ai:
Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk.
Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy.
We’re welcoming equally driven individuals who are excited about creating something big!
The Role
As a Senior Solutions Engineer, you will play a critical role at the intersection of data, technology, and customer impact. You will lead the design and delivery of scalable, reliable, and high-impact technical implementations for our enterprise clients.
Working with diverse and complex datasets across industries, you’ll build and optimize end-to-end analytics solutions that directly influence how customers engage with the Forma platform. You’ll partner cross-functionally to identify opportunities, scope high-value solutions, and deliver outcomes that drive measurable business impact.
This is a highly visible, client-facing role that combines hands-on technical expertise with strategic thinking.
What You’ll Do
- Lead strategic technical engagements with enterprise clients, guiding solution design for complex business challenges using the Forma platform
- Design, build, and optimize scalable data architectures, pipelines, and workflows (e.g., PySpark, Databricks)
- Translate business requirements into robust, production-ready data solutions
- Design and deliver custom code and customer-specific integrations to extend the Forma platform for unique client requirements
- Partner with Professional Services to extract, transform, and analyze client data to optimize incentive compensation and sales performance strategies
- Collaborate with Product, Engineering, and Customer Success to deliver high-quality, actionable datasets and insights
- Drive improvements in data infrastructure, performance, scalability, and reliability
- Identify opportunities to standardize and productize repeatable solutions
- Mentor and support junior team members; contribute to internal best practices and knowledge sharing
- Act as a trusted technical advisor to both internal and external stakeholders
What We’re Looking For:
Required
- 5+ years of experience in a technical role such as Solutions Engineer, Analytics Engineer, Data Engineer, or Sales Engineer
- Strong proficiency in Python and SQL, with experience writing efficient, production-grade code
- Experience with modern data lakehouse architectures (e.g., Databricks, Snowflake) and a solid understanding of performance and cost optimization
- Experience building and maintaining scalable data pipelines and workflows
- Strong customer empathy and a passion for delivering user-facing data products
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
- Proven ability to operate in a fast-paced, cross-functional environment and manage competing priorities
- Strong problem-solving skills with a solution-oriented mindset
- Demonstrated curiosity and commitment to continuous learning
Nice to Have
- Experience with machine learning, predictive analytics, or optimization models
- Familiarity with BI tools (e.g., Tableau, Looker, Power BI)
- Experience with cloud platforms (AWS, Azure, or GCP)
- Experience integrating with Salesforce or working with financial / sales data
- Prior experience in ICM (Incentive Compensation Management), SPM (Sales Performance Management), or sales operations
What Success Looks Like:
After 30 Days:
- Develop a strong understanding of Forma’s platform, including client-facing features, data flows, and core use cases
- Build working knowledge of our data architecture, repositories, and tooling (e.g., Databricks, S3, GitHub)
- Establish relationships with immediate team members and key cross-functional partners (Product, Engineering, Customer Success)
- Begin contributing to scoped technical tasks and internal data workflows with guidance
- Begin building context on customer implementations, common challenges, and solution patterns
After 60 Days:
- Participate in client engagements and internal solution discussions, building familiarity with customer needs and communication patterns
- Independently execute well-defined technical tasks with high quality and reliability
- Collaborate with cross-functional stakeholders to understand requirements and translate them into technical solutions
- Begin contributing to medium-complexity data pipelines, transformations, or analyses with guidance
- Begin identifying opportunities to improve existing implementations or workflows
After 90 Days:
- Actively contribute to client-facing conversations, providing technical input and solution recommendations
- Independently scope, design, and implement data solutions for customer use cases
- Own delivery of medium-complexity solutions end-to-end with minimal guidance
- Demonstrate strong problem-solving and sound technical judgment in ambiguous situations
- Proactively identify and drive improvements in data workflows, performance, and scalability
- Begin establishing credibility as a trusted technical partner to internal teams and customers
Long Term:
- You consistently deliver high-quality, scalable solutions that drive measurable customer outcomes
- You become a trusted advisor to clients and internal stakeholders
- You identify opportunities to improve processes and influence product direction
- You elevate the team through mentorship and technical leadership
Additional Job Info:
- This position is for an existing vacancy
- Salary range: $110K - $150K CAD
What you can expect from us
Meaningful compensation. In addition to your base salary, you’ll join our employee stock ownership plan to further recognize your contributions to Forma.ai’s success.
Healthcare coverage. We have a full benefits package that includes medical, dental, vision, disability and life insurance, and a paid parental leave program.
Learning and development. Access the resources you want to help you grow in your role by utilizing our $750 yearly training stipend.
Growth. You’ll have a huge opportunity to build a career for yourself and gain the type of experience you’re looking for, whether that’s as an individual contributor or as a people leader.
Our Values:
- Work well, together. We’re real. We have kids and pets. Mortgages and student loans. We’re in this together, so no matter how brilliant any one of us is, we always play nice with one another – no exceptions.
- Be precise. Be relentless. We believe complacency breeds failure, so we set new goals as quickly as we achieve them. We persist in the face of adversity, learn from our mistakes, and push each other to continuously improve. The status-quo is kryptonite.
- Love our tech. Love our customers. Our platform solves a very complex problem in a currently underserved market. While everyone at Forma isn’t customer-facing, we’re all customer-focused. Maybe even slightly customer-obsessed.
Use of AI for Recruitment
Currently, Forma.ai does not use artificial intelligence as part of our recruitment process, specifically but not limited to the screening, filtering and shortlisting of applicants.
Our commitment to you:
Forma is a proud equal opportunity employer that is committed to creating a diverse and inclusive work environment. Every effort to accommodate candidates for accessibility will be made upon request. Information received related to accommodations will be addressed confidentially. We know that applying to a new role takes a lot of effort. You're encouraged to apply even if your experience doesn't precisely match the job description. There are many paths to a successful career and we’re looking forward to reading yours.
We thank all candidates for their interest however only qualified applicants will be shortlisted.
Ready to apply?
Apply to Forma.ai
Senior Platform Analytics Engineer
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About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About this role:
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.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)
Ready to apply?
Apply to Faire
7shifts is a scheduling and payroll platform designed to help restaurant teams thrive. With an easy-to-use app and industry-specific solutions, 7shifts saves time, reduces errors, and helps keep costs in check for over 55,000 restaurants. Our mission is to simplify team management and improve performance for restaurants, with a long-term vision of creating a thriving restaurant industry through the power of connected & engaged teams.
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.
Our commitment to our Shifties:
- Opportunity: Our product is evolving in exciting ways, and we’re focused on delivering even more value to restaurants. This momentum creates real opportunities to learn and grow. Whether you’re honing your craft or exploring new paths, you’ll be supported and empowered to own your growth and impact a product shaping the future of the restaurant industry.
- Challenge: We’re tackling real problems in a fast-moving, complex industry. The work is scrappy and ambiguous, but meaningful. You’ll think critically, act with intention, and shape solutions that make a real difference for restaurant teams.
- Culture: We’re proud to be recognized among the best workplaces in North America. Guided by our mission and values, we move fast to solve meaningful problems and celebrate wins together. Whether through in-office and remote events, team offsites like Sparks, or everyday moments of connection, we create space for shared growth, collaboration, and fun.
- Equity: We’re a Series C, VC-backed SaaS company, and we believe everyone should share in the success they help create. When we build together, we grow together.
- Health and Wellness: We support Shifties in and outside of work, knowing that what people need can change over time. From day one, you’ll have access to benefits like health and dental, lifestyle spending accounts to a parental leave program built with flexibility in mind, to help you bring your best self to work.
- Flexibility: Our team is intentional around how and where we work, whether remotely, in person, or a mix of both. We prioritize candidates who thrive in a hybrid work environment with offices in Saskatoon and Toronto, ensuring in-person collaboration and connection when possible. Plus, we offer a flexible vacation policy to encourage everyone to recharge when needed. Oh, and our ‘90 Day Shift’ program lets Shift work from (almost) anywhere because who wouldn’t want to trade their desk for a beach view once in a while?
- Support: We set Shifties up for success with the tools they need, like the latest Apple tech, a home office setup, and some 7shifts swag to make it official. But support goes beyond day one. We’re serious about professional growth, offering coaching, feedback, development planning, and opportunities to grow from within.
We know you might not check every box, and that’s okay. If you’re excited about this role, inspired to contribute to a meaningful product, and eager to share ideas that drive real change, we’d love to hear from you. We’re building an inclusive team that reflects the diverse industry we serve, and we welcome applicants from all backgrounds.
We thank you for your interest in joining the 7shifts team!
Our privacy policy can be found here.
Ready to apply?
Apply to 7shifts
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
Ready to apply?
Apply to Konrad
Who We Are
Konrad is a next-generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard-working people who are lifelong learners.
About The Role
As a 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
Ready to apply?
Apply to Konrad
Who We Are
Konrad is a next-generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard-working people who are lifelong learners.
About The Role
As a Data Architect, you are a technically strong and curious problem-solver who applies expertise in data science, enterprise data architecture, system design, and data governance best practices to solve complex business challenges. You design and oversee the development of scalable, secure, and reliable data solutions, and can clearly communicate the value of your designs to both technical and business audiences.
You will collaborate closely with data engineers, analysts, product managers, and clients to design and deliver data & AI solutions that drive measurable impact. You are comfortable working with large databases, designing enterprise data systems, and contributing to AI-enabled products in strict regulatory environments. As a senior contributor on the team, you bring a strong foundation in data science, system design, and modern data tooling.
What You’ll Do
- Partner with clients and internal teams to identify opportunities where data science and machine learning can drive business value
- Explore, analyze, and prepare large datasets for modeling and experimentation
- Design, build, and validate statistical, predictive, and machine learning models
- Develop and deploy scalable data science and AI solutions in collaboration with engineering teams
- Evaluate model performance and continuously iterate to improve accuracy (including A/B testing and causal analysis)
- Lead data modernization & migration projects at large enterprises
- Communicate findings, methodologies, and recommendations clearly to technical and non-technical stakeholders
- Stay current with emerging data science, AI, and machine learning techniques and tools
Qualifications
- Minimum 5+ years of experience in a data science, machine learning, or solution architect roles
- Strong proficiency in Python (or similar) and experience with data science libraries and frameworks
- Solid foundation in statistics, probability, and machine learning techniques
- Experience designing and managing the build-out of cloud-based data platforms and data warehouses (e.g., Snowflake, Databricks BigQuery, Redshift)
- Familiarity with model deployment, monitoring, and lifecycle management
- Experience with containerization (e.g., Docker) and building production APIs (e.g., FastAPI) and applications (e.g., Django or Flask).
- Experience collaborating with data engineering teams on production-grade solutions
- Strong problem-solving skills and the ability to frame ambiguous business problems into technology solutions and gaining stakeholder buy-in
- Excellent communication and presentation skills
- Experience working in agile, consulting, or cross-functional environments
Perks and Benefits
- Comprehensive Health & Wellness Benefits Package
- Socials, Outings & Retreats
- Retirement Planning
- Parental Leave Program
- Annual tech & travel allowance
- Culture of Learning & Development
- Flexible Working Hours
- Work from Home Flexibility
- Service Recognition Programs
Bonus Points
Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses, make sure to highlight this experience in your cover letter if you have!
Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.
The estimated compensation for this position is $120,000 to $150,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.
While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.
#LI-Hybrid
Ready to apply?
Apply to Konrad
Who We Are
Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard working people who are lifelong learners.
About The Role
As a Senior Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions.
What You’ll Do
- Design, build, and manage robust data pipelines and data architectures.
- Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake.
- Optimize data workflows, ensuring reliability, scalability, and performance.
- Collaborate with internal stakeholders to understand data needs and deliver tailored solutions.
- Ensure data security and compliance with industry standards and best practices.
- Perform data modelling, data extraction, transformation, and loading (ETL/ELT).
- Identify and recommend innovative solutions to enhance data quality and analytics capabilities.
Qualifications
- Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
- 4+ years of professional experience as a Data Engineer or similar role.
- Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake.
- Hands-on experience with data pipeline tools, cloud services, and storage solutions.
- Strong programming skills in SQL, Python, or related languages.
- Experience with big data technologies and concepts (Spark, Hadoop, Kafka).
- Excellent analytical, troubleshooting, and problem-solving skills.
- Ability to effectively communicate technical concepts clearly to non-technical stakeholders.
Nice to have
- Certifications related to Azure Data Engineering, Databricks, or Snowflake.
- Familiarity with DevOps practices and CI/CD pipelines.
Perks and Benefits
- Comprehensive Health & Wellness Benefits Package
- Retirement Planning
- Parental Leave Program
- Annual tech & travel allowance
- Flexible Working Hours
- Work from Home Flexibility
- Service Recognition Programs
- Socials, Outings & Retreats
- Culture of Learning & Development
Bonus Points
Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses - make sure to highlight this experience in your cover letter if you have!
Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.
The estimated compensation for this position is $120,000 to $145,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.
While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.
#LI-Hybrid
Ready to apply?
Apply to Konrad
Who We Are
Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard working people who are lifelong learners.
About The Role
As a Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions.
What You’ll Do
- Design, build, and manage robust data pipelines and data architectures.
- Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake.
- Optimize data workflows, ensuring reliability, scalability, and performance.
- Collaborate with internal stakeholders to understand data needs and deliver tailored solutions.
- Ensure data security and compliance with industry standards and best practices.
- Perform data modelling, data extraction, transformation, and loading (ETL/ELT).
- Identify and recommend innovative solutions to enhance data quality and analytics capabilities.
Qualifications
- Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
- At least 3 years of professional experience as a Data Engineer or similar role.
- Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake.
- Hands-on experience with data pipeline tools, cloud services, and storage solutions.
- Strong programming skills in SQL, Python, or related languages.
- Experience with big data technologies and concepts (Spark, Hadoop, Kafka).
- Excellent analytical, troubleshooting, and problem-solving skills.
- Strong understanding of data modeling concepts including medallion architecture, data vault, grain, fact tables, dimensions, and schema design.
- Hands-on experience building and maintaining transformation layers using dbt or similar ELT tools.
- Experience building production-grade data models with optimized performance supporting operational decision-making.
- Experience designing batch and real-time ingestion frameworks with real-time monitoring
- Ability to effectively communicate technical concepts clearly to non-technical stakeholders.
Nice to have
- Certifications related to Azure Data Engineering, Databricks, or Snowflake.
- Familiarity with DevOps practices and CI/CD pipelines.
Perks and Benefits
- Comprehensive Health & Wellness Benefits Package
- Retirement Planning
- Parental Leave Program
- Flexible Working Hours
- Work from Home Flexibility
- Service Recognition Programs
- Socials, Outings & Retreats
- Culture of Learning & Development
Bonus Points
Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses - make sure to highlight this experience in your cover letter if you have!
Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.
The estimated compensation for this position is $90,000 to $125,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.
While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.
#LI-Hybrid
Ready to apply?
Apply to Konrad
As Marqeta’s Senior Dispute Analyst, you will you are responsible for maintaining and revising complex operational process flows, identifying inefficiencies, and improving quality outcomes for regulatory processes. You will join a team of diverse, agile-thinking, and highly-skilled professionals; we use our combined capabilities to enable the organization with innovation, speed, agility, scalability and efficiency. This position works both internally and with external partners (BPO) maintaining process flows, ensuring regulatory compliance, analyzing quality assurance outcomes and updating procedures and process flows. You will also be responsible for managing communication with Marqeta’s programs and supporting required reporting.
We work Flexible First. This role can be performed remotely anywhere within Ontario or British Columbia, Canada. We’d love for you to join us!
The Impact You’ll Have
- Manage teams operational process flows, procedures and playbooks for both internal and external use
- Resolve moderate/complex issues with little or no supervision or direction.
- Manage inbound escalations from multiple sources to resolution and identification of potential processing problems requiring escalations to product and engineering teams
- Work with peers and leadership to communicate dispute trends and share best practices, ideas, and information within Marqeta and our customers.
- Coordinate with our Issuing Bank partners to ensure that Marqeta is compliant with their requirements for monitoring, reporting, and dispute resolution.
- Practice using sound decision-making and discretion in making independent decisions that mitigate corporate risk at each decision point throughout the investigation.
- Ensure quality standards are met working with external partners in the area of learning and develop
Who You Are
- 3 - 5+ years of relevant experience (financial services, payment industry, etc)
- Strong understanding of Card Network regulations (VISA, MC and SMS) related to chargeback processing
- Experience with SQL, Snowflake
- Working knowledge of U.S Payment Regulations, data privacy and other regulatory requirements for dispute management
- Able to work independently with high volume caseloads/projets executed with high quality
- Experience in direct customer interaction; ability to talk through complex requirements and render positive outcomes
- Demonstrated ability to achieve results through cross-functional, virtual teams
- Superior communication skills (interpersonal, verbal, presentation, written, email)
- Positive attitude, team player, adaptable, resourceful, inquisitive, and self-starter who is able to work independently
- Bachelor’s degree or equivalent experience.
Nice-To-Haves
- VISA Network Chargeback Certification
- Operational Experience with EU Payment Regulation (GDPR, PSD2)
- Startup/high growth company experience with a proven track record of thriving in high-performing teams and fast-paced environments.
Your Manager
Recruiter For This Role
- Agata Wojciechowska
Typical Process
- Application Submission
- Recruiter phone call
- Hiring manager video call
- Virtual “Onsite” consisting of 3 x 45 min calls
- Offer
Compensation and Benefits
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: 88,800-111,000. 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 vacation time
- Retirement savings program with company contribution
- Equity in a publicly-traded company
- Monthly stipend to support our remote work model
- Annual “development dollars” to support our people growth and development
- Family-forming benefits and up to 20 weeks of Parental Leave
About Marqeta
Marqeta is on a mission to change the way money moves. We’re one of the earliest enablers of embedded finance, a market opportunity sized up in the trillions. Our card issuing platform provides unprecedented flexibility and control for companies to issue cards, authorize transactions, and manage payment operations in real time. Marqeta is powering the most well known brands in the new economy (Block, Cash App, Affirm, Instacart, Doordash, Uber, Walmart, etc). You don’t need to be a Payments expert to join the Marqeta Team, let us help you with that. This is the opportunity of a lifetime to work with innovators around the world and unlock equitable financial access for all.
Marqeta’s Values
– Solve for the Customer: With a deep understanding of our customers' business and empathy for their needs, we deliver products and services that drive their success. Earning and keeping their trust guides everything we do.
– Do What's Right: Knowing businesses and livelihoods depend on us, we pursue solutions that disrupt responsibly and deliver high-quality results that our customers count on. We own our work from start to finish.
– Simplify and Innovate: We approach challenges with curiosity and take smart risks. Innovation comes from finding better, simpler ways to achieve extraordinary outcomes.
– Win as a Team: We succeed together by embracing diverse perspectives and pushing each other to raise the bar. We lead with humility and set aside hierarchy to work as a team.
– Make it Count: We drive forward with focus and agility. With a sense of urgency and purpose, we get the job done, and done right.
Equal Employment Opportunity, Accommodations and Privacy
Marqeta is an equal opportunity employer committed to an inclusive workplace that fosters belonging. We do not discriminate based on race, color, religion, sex (including pregnancy, lactation, childbirth, or related medical conditions), veteran status or uniformed service member status, age, national origin or ancestry, citizenship or immigration status, physical or mental disability, gender identity, gender expression, sexual orientation, genetic information (including testing or characteristics) or any other characteristic protected by applicable law. We also consider qualified applicants with criminal histories, consistent with legal requirements.
Marqeta endeavors to make reasonable accommodations for applicants with disabilities. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please submit this form with your specific accommodation request.
Personal data that is provided as part of the application and recruitment process is processed in accordance with the Applicant Privacy Notice. Additional information for California residents can be found here.
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Associate Director, CRM Development
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About TripleLift
We're TripleLift, an advertising platform on a mission to elevate digital advertising through beautiful creative, quality publishers, actionable data and smart targeting. Through over 1 trillion monthly ad transactions, we help publishers and platforms monetize their businesses. Our technology is where the world's leading brands find audiences across online video, connected television, display and native ads. Brand and enterprise customers choose us because of our innovative solutions, premium formats, and supportive experts dedicated to maximizing their performance.
As part of the Vista Equity Partners portfolio, we are NMSDC certified, qualify for diverse spending goals and are committed to economic inclusion. Find out how TripleLift raises up the programmatic ecosystem at triplelift.com.
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
- Medical, Dental & Vision Plans
- Flexible PTO
- 401k w/ employer match
*Full-time employees are eligible for comprehensive benefits (subject to the terms of applicable plans/policies/agreements, which will be made available to you after commencing employment).
Life at TripleLift
At TripleLift, we’re a team of great people who like who they work with and want to make everyone around them better. This means being positive, collaborative, and compassionate. We hustle harder than the competition and are continuously innovating.
Learn more about TripleLift and our culture by visiting our LinkedIn Life page.
Establishing People, Culture and Community Initiatives
At TripleLift, we are committed to building a culture where people feel connected, supported, and empowered to do their best work. We invest in our people and foster a workplace that encourages curiosity, celebrates shared values, and promotes meaningful connections across teams and communities. We want to ensure the best talent of every background, viewpoint, and experience has an opportunity to be hired, belong, and develop at TripleLift. Through our People, Culture, and Community initiatives, we aim to create an environment where everyone can thrive and feel a true sense of belonging.
Privacy Policy
Please see our Privacy Policies on our TripleLift and 1plusX websites.
TripleLift does not accept unsolicited resumes from any type of recruitment search firm. Any resume submitted in the absence of a signed agreement will become the property of TripleLift and no fee shall be due.
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[PIPELINE] - Software Engineer II - Canada
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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
Ready to apply?
Apply to MQ Referrals Only
Staff Data Systems Engineer
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Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!
If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.
Lightmatter is (re)inventing the future of computing with light!
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
We offer competitive compensation. The base salary range for this role determined based on location, experience, educational background, and market data.
Benefits
- Comprehensive Health Care Plan (Medical, Dental & Vision)
- Retirement Savings Matching Program
- Life Insurance (Basic, Voluntary & AD&D)
- Generous Time Off (Vacation, Sick & Public Holidays)
- Paid Family Leave
- Short Term & Long Term Disability
- Training & Development
- Commuter Benefits
- Flexible, hybrid workplace model
- Equity grants (applicable to full-time employees)
Benefits eligibility may vary depending on your employment status and location. Lightmatter recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law.
Export Control
Candidates should have capacity to comply with the federally mandated requirements of U.S. export control laws.
Ready to apply?
Apply to Lightmatter
Senior DevOps Engineer
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ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.
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 us:
ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.
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Apply to ZoomInfo Technologies LLC
Senior Data Engineer
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ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.
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
About us:
ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.
Ready to apply?
Apply to ZoomInfo Technologies LLC
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.
We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.
To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.
Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.
If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.
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.
WHAT WE OFFER
Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here. More details on benefits plans will be provided if you receive an offer of employment.
From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as:
- Competitive compensation that may include equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive benefit plans covering medical, dental, vision, life, and disability
- Family services that include fertility benefits and equal paid parental leave
- Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
- A curated in-office employee experience, designed to foster community, team connections, and innovation
- Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
- Employee Resource Groups that provide supportive communities within Braze
- Collaborative, transparent, and fun culture recognized as a Great Place to Work®
ABOUT BRAZE
Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.™ Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.
The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 “Best of Marketing and Digital Advertising Software Product” in 2025.
Braze was also named a 2025 Best Companies To Work For by U.S. News & World Report, a 2025 America’s Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®, among other accolades. Braze is also proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore.
The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo.
At Braze, we strive to create equitable growth and opportunities inside and outside the organization.
Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you.
We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you.
Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.Ready to apply?
Apply to Braze
AI Integration Engineer, AI/ML
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At Viral Nation, we specialize in building social-first ecosystems for brands to connect with the modern consumer journey. Our integrated solutions align strategy, talent, media, and technology with culturally relevant creativity to scale the world’s fastest-growing digital brands. Viral Nation offers a fluid, creative, and growth-oriented environment that will support your ambitions to apply your talents in an open, collaborative, and fast-paced culture. Our ability to stay at the forefront of the industry has fuelled our success and will guide us in paving the path forward. We’re driven to push boundaries and think beyond today to deliver strategies, and we’re just getting started.
While we continuously exceed our goals, we need your help – our success is only as great as our people. Strong performance leads to high expectations, and we must keep raising the bar!
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.
At Viral Nation, compensation is structured, performance-led, and market-aligned. Pay decisions are intentional, based on role requirements, performance, and market alignment by country, and are set to maintain internal pay equity across comparable roles and levels.
Compensation progression is tied to demonstrated performance, expanded scope, and sustained contribution over time, not tenure alone. Employee compensation is reviewed regularly through formal performance reviews and check-ins to ensure alignment with role expectations and impact.
DEI Commitment:
Viral Nation is committed to diversity, equity and inclusion in our agency. Viral Nation welcomes applications from people with visible and non-visible disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruiting and selection process.
Ready to apply?
Apply to Viral Nation Inc.
AI Integration Engineer, AI/ML
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At Viral Nation, we specialize in building social-first ecosystems for brands to connect with the modern consumer journey. Our integrated solutions align strategy, talent, media, and technology with culturally relevant creativity to scale the world’s fastest-growing digital brands. Viral Nation offers a fluid, creative, and growth-oriented environment that will support your ambitions to apply your talents in an open, collaborative, and fast-paced culture. Our ability to stay at the forefront of the industry has fuelled our success and will guide us in paving the path forward. We’re driven to push boundaries and think beyond today to deliver strategies, and we’re just getting started.
While we continuously exceed our goals, we need your help – our success is only as great as our people. Strong performance leads to high expectations, and we must keep raising the bar!
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.
Where an offer falls within this range is determined through the interview process. Candidates are benchmarked by the hiring team based on role scope, relevant experience, skill alignment, and expected impact, using consistent and objective criteria.
At Viral Nation, compensation is structured, performance-led, and market-aligned. Pay decisions are intentional, based on role requirements, performance, and market alignment by country, and are set to maintain internal pay equity across comparable roles and levels.
Compensation progression is tied to demonstrated performance, expanded scope, and sustained contribution over time, not tenure alone. Employee compensation is reviewed regularly through formal performance reviews and check-ins to ensure alignment with role expectations and impact.
DEI Commitment:
Viral Nation is committed to diversity, equity and inclusion in our agency. Viral Nation welcomes applications from people with visible and non-visible disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruiting and selection process.
Ready to apply?
Apply to Viral Nation Inc.
Analytics Engineer
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Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management.
At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation.
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!
Spaulding Ridge’s Commitment to an Inclusive Workplace
When we engage the expertise, insights, and creativity of people from all walks of life, we become a better organization, we deliver superior services to clients, and we transform our communities and world for the better.
At Spaulding Ridge, we believe our team should reflect the rich diversity of society and we take seriously the responsibility to cultivate a workplace where every bandmate feels accepted, respected, and valued for who they are. We do this by creating a culture of trust and belonging, through practices and policies that support inclusion, and through our employee led Employee Resource Groups (ERGs): CRE (Cultural Race and Ethnicity), Women Elevate, PROUD and Mental Wellness Alliance.
The company is committed to offering Equal Employment Opportunity and to providing reasonable accommodation to applicants with physical and/or mental disabilities. If you are interested in applying for employment with Spaulding Ridge and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to our VP of Human Resources, Cara Halladay (challaday@spauldingridge.com). Requests for reasonable accommodation will be considered on a case-by-case basis.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, gender, sexual orientation, gender identity, protected veteran status or disability.
Ready to apply?
Apply to Spaulding RidgeSoftware 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
Ready to apply?
Apply to Opendoor
Senior Staff Machine Learning Platform Engineer
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About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About this role
As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale. This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools. You won’t just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses.
What You Will Do
- Define and drive the long-term architecture of Faire’s ML platform including training, inference, feature management, governance
- Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability
- Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns
- Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow
- Optimize performance, reliability, and cost of the ML platform
- Evaluate and integrate emerging Databricks features
- Stay ahead of the curve by engaging with the latest developments in machine learning and AI
- Serve as senior ML technical advisor to Faire’s data science and production engineering teams
- Represent Faire at ML conferences and meetups
- Mentor ML engineers and raise the overall bar for Machine Learning at Faire
What it takes
- 10-12 years of experience building and improving large-scale ML or data platforms.
- A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field.
- Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization
- Proven ability to design systems that support multiple data science teams and production workloads
- Strong background in distributed systems, ML infrastructure, and cloud architecture.
- Demonstrated technical leadership across teams and orgs; ability to influence without authority
- Experience integrating LLM workflows into enterprise platforms is a plus
- Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus
Tech Stack
Faire uses a modern cloud based tech stack. For this role, you’ll want to be proficient with the following:
|
Category |
Technologies |
|
Languages |
Python, SQL, Kotlin |
|
ML Frameworks |
PyTorch, PySpark, MLFlow |
|
Big Data & Processing |
Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL |
|
Cloud & Infrastructure |
AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform |
|
Generative AI |
Claude Sonnet 4.5, ChatGPT 5.2 |
Salary Range
Canada: the pay range for this role is $248,000 to $341,000 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.
This job posting is for an existing vacancy.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)
Ready to apply?
Apply to Faire
About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About this role
As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale. This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools. You won’t just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses.
What You Will Do
- Define and drive the long-term architecture of Faire’s ML platform including training, inference, feature management, governance
- Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability
- Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns
- Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow
- Optimize performance, reliability, and cost of the ML platform
- Evaluate and integrate emerging Databricks features
- Stay ahead of the curve by engaging with the latest developments in machine learning and AI
- Serve as senior ML technical advisor to Faire’s data science and production engineering teams
- Represent Faire at ML conferences and meetups
- Mentor ML engineers and raise the overall bar for Machine Learning at Faire
What it takes
- 10-12 years of experience building and improving large-scale ML or data platforms.
- A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field.
- Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization
- Proven ability to design systems that support multiple data science teams and production workloads
- Strong background in distributed systems, ML infrastructure, and cloud architecture.
- Demonstrated technical leadership across teams and orgs; ability to influence without authority
- Experience integrating LLM workflows into enterprise platforms is a plus
- Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus
Tech Stack
Faire uses a modern cloud based tech stack. For this role, you’ll want to be proficient with the following:
|
Category |
Technologies |
|
Languages |
Python, SQL, Kotlin |
|
ML Frameworks |
PyTorch, PySpark, MLFlow |
|
Big Data & Processing |
Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL |
|
Cloud & Infrastructure |
AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform |
|
Generative AI |
Claude Sonnet 4.5, ChatGPT 5.2 |
Salary Range
San Francisco: the pay range for this role is $295,000 to $405,500 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.
Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.
This job posting is for an existing vacancy.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)
Ready to apply?
Apply to Faire
7shifts is a scheduling and payroll platform designed to help restaurant teams thrive. With an easy-to-use app and industry-specific solutions, 7shifts saves time, reduces errors, and helps keep costs in check for over 55,000 restaurants. Our mission is to simplify team management and improve performance for restaurants, with a long-term vision of creating a thriving restaurant industry through the power of connected & engaged teams.
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.
Our commitment to our Shifties:
- Opportunity: Our product is evolving in exciting ways, and we’re focused on delivering even more value to restaurants. This momentum creates real opportunities to learn and grow. Whether you’re honing your craft or exploring new paths, you’ll be supported and empowered to own your growth and impact a product shaping the future of the restaurant industry.
- Challenge: We’re tackling real problems in a fast-moving, complex industry. The work is scrappy and ambiguous, but meaningful. You’ll think critically, act with intention, and shape solutions that make a real difference for restaurant teams.
- Culture: We’re proud to be recognized among the best workplaces in North America. Guided by our mission and values, we move fast to solve meaningful problems and celebrate wins together. Whether through in-office and remote events, team offsites like Sparks, or everyday moments of connection, we create space for shared growth, collaboration, and fun.
- Equity: We’re a Series C, VC-backed SaaS company, and we believe everyone should share in the success they help create. When we build together, we grow together.
- Health and Wellness: We support Shifties in and outside of work, knowing that what people need can change over time. From day one, you’ll have access to benefits like health and dental, lifestyle spending accounts to a parental leave program built with flexibility in mind, to help you bring your best self to work.
- Flexibility: Our team is intentional around how and where we work, whether remotely, in person, or a mix of both. We prioritize candidates who thrive in a hybrid work environment with offices in Saskatoon and Toronto, ensuring in-person collaboration and connection when possible. Plus, we offer a flexible vacation policy to encourage everyone to recharge when needed. Oh, and our ‘90 Day Shift’ program lets Shift work from (almost) anywhere because who wouldn’t want to trade their desk for a beach view once in a while?
- Support: We set Shifties up for success with the tools they need, like the latest Apple tech, a home office setup, and some 7shifts swag to make it official. But support goes beyond day one. We’re serious about professional growth, offering coaching, feedback, development planning, and opportunities to grow from within.
We know you might not check every box, and that’s okay. If you’re excited about this role, inspired to contribute to a meaningful product, and eager to share ideas that drive real change, we’d love to hear from you. We’re building an inclusive team that reflects the diverse industry we serve, and we welcome applicants from all backgrounds.
We thank you for your interest in joining the 7shifts team!
Our privacy policy can be found here.
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Integration Consultant – Data & Enterprise Systems
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Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management.
At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation.
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
Spaulding Ridge’s Commitment to an Inclusive Workplace
When we engage the expertise, insights, and creativity of people from all walks of life, we become a better organization, we deliver superior services to clients, and we transform our communities and world for the better.
At Spaulding Ridge, we believe our team should reflect the rich diversity of society and we take seriously the responsibility to cultivate a workplace where every bandmate feels accepted, respected, and valued for who they are. We do this by creating a culture of trust and belonging, through practices and policies that support inclusion, and through our employee led Employee Resource Groups (ERGs): CRE (Cultural Race and Ethnicity), Women Elevate, PROUD and Mental Wellness Alliance.
The company is committed to offering Equal Employment Opportunity and to providing reasonable accommodation to applicants with physical and/or mental disabilities. If you are interested in applying for employment with Spaulding Ridge and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to our VP of Human Resources, Cara Halladay (challaday@spauldingridge.com). Requests for reasonable accommodation will be considered on a case-by-case basis.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, gender, sexual orientation, gender identity, protected veteran status or disability.
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Senior Full-Stack Engineer
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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.
Ready to apply?
Apply to Human Agency
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
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Design and deploy AI agents that automate data fetching, analysis, reporting, and forecasting workflows
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Architect data pipelines connecting financial planning systems (Adaptive) to Snowflake and downstream applications
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Build semantic layers that enable non-technical finance team members to access data through natural language
Create Finance Tools & Products
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Develop internal tools that transform manual finance processes into automated, scalable products
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Build dashboards and self-service interfaces that eliminate analyst bottlenecks
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Create systems that enable managers to answer their own headcount, budget, and forecast questions without finance intervention
Own Data Architecture for Finance
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Organize finance data for best-in-class LLM capabilities
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Design data models that support automated analysis, real-time querying, and AI agent interactions
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Establish data quality frameworks and governance for financial systems
Drive Automation at Scale
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Identify high-value automation opportunities across Finance (accruals, reporting, forecasting, variance analysis)
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Implement workflow automation using tools like Gumloop, Claude, and custom-built agents
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Measure and improve automation accuracy, reducing manual intervention over time
What You Will Bring
Technical Foundation
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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
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Advanced SQL proficiency with ability to design complex data models and optimize query performance
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Production experience with Python for data engineering, automation, and AI agent development
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Hands-on experience with modern data warehouses (Snowflake, BigQuery, or similar)
AI & Automation Expertise
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Deep understanding of LLM capabilities, limitations, and prompt engineering best practices
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Experience architecting semantic layers or natural language interfaces for data access
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Familiarity with AI orchestration frameworks (LangChain, LlamaIndex, or similar)
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Proven ability to identify high-ROI automation opportunities and implement end-to-end solutions
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Experience with workflow automation tools and API integrations
Data Architecture & Systems Design
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Strong data modeling skills with focus on enabling both human analysts and AI agents
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Experience designing data pipelines that connect planning systems (like Adaptive, Anaplan) to data warehouses
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Understanding of data governance, quality frameworks, and metadata management
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Ability to architect scalable systems that reduce analyst bottlenecks and enable self-service
Product & Business Mindset
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Builder mentality with ability to ship functional products, not just analyses
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Experience translating messy business problems into clean technical solutions
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Strong stakeholder management skills with ability to influence senior finance leadership
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Comfort working in ambiguous, fast-moving environments with evolving requirements
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Systems thinking approach to understanding complex problems and their root causes
Bonus points if you have:
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Experience in fintech, real estate tech, or high-velocity transaction businesses
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Background in financial planning & analysis (FP&A) or corporate finance
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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
Ready to apply?
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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
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Own account structure, campaign taxonomy, bidding strategy, and budget/pacing strategy.
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Architect Performance Max (asset groups, audience signals, feeds, creative inputs) and core Search (RSA; DSA where appropriate).
Apply AI to scale performance and quality
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Leverage platform AI and custom automation (scripts/API) for query mapping, asset/creative generation and rotation, anomaly detection, bid/budget reallocation, and pacing.
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Pilot and productionize LLM-powered workflows for keyword/negative expansion, ad copy/asset ideation, and performance summarization.
Build a rigorous testing framework
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Design and run structured experiments (geo splits, incrementality tests, asset/audience match type tests) with pre-registered hypotheses, power checks, and clear decision rules.
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Maintain an experiment registry and codify learnings; scale winners quickly and sunset underperformers.
Elevate measurement and signal quality
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Partner with Analytics/Eng to implement enhanced conversions, offline conversion imports, and robust tagging; maintain auditable event taxonomies and conversion labels.
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Shift optimization toward higher-intent primary actions, balancing low- vs. high-latency events; implement value rules and tCPA/tROAS aligned to drive efficient CAC
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Ensure reliable data flows into warehouse/BI (e.g., Snowflake + QuickSight) and maintain single source-of-truth dashboards.
Drive geo precision and market governance
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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
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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.
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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
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Collaborate with Product/Eng on site speed, landing experiences, and signal latency reduction; align with Finance/Procurement on budgets, invoicing, and reconciliations.
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Manage Google/Microsoft relationships; prioritize relevant betas and escalate technical issues (API, data discrepancies) to resolution.
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Uphold privacy, compliance, and category policies (e.g., housing-related ad policies); enforce QA and brand safety standards.
Document and scale
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Maintain clear SOPs, naming conventions, SLAs, and QA checklists to ensure reliable operations as the program grows.
What You’ll Need
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7+ years operating and scaling paid search across Google Ads and Microsoft Ads with multi-market complexity.
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Deep expertise with modern search (broad match + Smart Bidding), audience strategies, and RSA/asset testing at scale.
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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.
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Experimentation and measurement chops: geo experiments, incrementality testing, pre/post analysis, value-based bidding; MMM/MTA familiarity a plus.
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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.
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Proven success migrating to higher-intent optimization (enhanced conversions, offline conversion imports, consent-aware tagging) and tying media to downstream business impact.
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Exceptional communication and stakeholder management; can translate complexity into clear decisions and influence across Marketing, Product, Analytics, and Finance.
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Bias to action, high ownership, and meticulous operational hygiene (naming, labels, budgets, and pacing).
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Excellent communication, prioritization, and stakeholder management; thrives in ambiguity, moves with urgency, and maintains a high quality bar.
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Ownership mindset with flexibility to switch between strategy and hands-on execution.
Preferred
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Experience in real estate, fintech/proptech, or performance-driven consumer brands.
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Working knowledge of SEO, AEO (Answer/AI Engine Optimization), and Social Search mechanics; experience coordinating paid and organic
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Strategies across SERP surfaces, YouTube, Reddit, and TikTok search.
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Experience with feed management, landing page experimentation, and collaboration with Creative/Brand on search-first storytelling.
How We Measure Success
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Efficiency and impact: CAC/CPA, CPQL, incremental contribution, qualified pipeline
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Brand vs. non-brand efficiency; impression share/share of voice.
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Experiment velocity and impact: test cadence, time-to-decision, percent of budget behind proven winners, and documented learnings adopted cross-channel.
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Data quality and automation: tag/conversion health SLAs, offline match rates, dashboard accuracy, percent of workflows automated, anomaly detection
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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.
Ready to apply?
Apply to Opendoor
Software Engineer, Financial Systems
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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
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Senior Staff Data Engineer - Platform Data and Analytics
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About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About this role
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.
This role is for a highly experienced technical leader in the data space, whose influence spans multiple Platform and Product groups.
Within the Platform group:
- The Data Infrastructure team builds and operates a secure, reliable, cost-efficient, opinionated platform for data ingestion, storage, compute, orchestration, and governance.
- The Analytics Platform team builds efficient data warehousing capabilities, foundational data assets, and tools to accelerate data-driven analytics. Its mandate is to reduce time from data to insights.
The teams also own relationships with relevant technology infrastructure vendors.
Additionally, this role would influence and interact with all data and analytics related functions at Faire. The product analytics engineering (PAE) function enables domain-specific AE capabilities, working closely with Data Science, Strategy & Analytics, Finance. The data science (DS) function leads modeling development and evaluation, raising effectiveness and efficiency of key product features.
We’re looking for: An experienced technical leader with data and analytics background to work alongside and lead / influence across multiple teams and departments. Define technology strategy, roadmaps, architecture patterns and guidance. Striking the right balance of technical leadership and hands-on development.
What you’ll do
- Plan and execute on technology projects that scale with Faire’s growth; lead architecture development with a focus on data integrity, security, performance, scale, reliability, monitoring/alerting.
- Engage with team planning and prioritization, balancing urgent and near-term needs with long-term goals.
- Provide technical guidance and mentorship on the most difficult open-ended problems we face. Including cost-efficient compute and storage, ETL and ELT pipelines, data ingest and warehousing, monitoring, alerting, and cost tracking for workloads, design practices for foundational assets, data security, privacy, and governance.
Qualifications
- Experience designing, developing, and operating data streaming, batch, ETL/ELT, orchestration, storage, compute, workflow systems at scale.
- Experience defining architecture patterns and building reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and frameworks for analytics engineering workflows.
- Strong SQL and Python skills and experience.
- Data warehousing experience at Petabyte scale.
- Snowflake, Airflow, Spark experience especially valuable.
- Understanding of performance, capacity, cost trade-offs in data processing systems. Experience in guiding technical and product teams on such trade-offs.
- Experience diagnosing, mitigating, and permanently addressing data system production issues at scale. Experience rolling out patterns for workload performance and cost optimization.
- Experience operating in a growth stage company, with a data function consisting of multiple teams and over 60 people. Enabling teams to operate in a self-serve model.
- Excellent communication, leadership, and influencing 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
San Francisco: the pay range for this role is $268,000 to $368,500 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.
Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.
This job posting is for an existing vacancy.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)
Ready to apply?
Apply to Faire
Senior Staff Data Engineer - Platform Data and Analytics
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About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About this role
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.
This role is for a highly experienced technical leader in the data space, whose influence spans multiple Platform and Product groups.
Within the Platform group:
- The Data Infrastructure team builds and operates a secure, reliable, cost-efficient, opinionated platform for data ingestion, storage, compute, orchestration, and governance.
- The Analytics Platform team builds efficient data warehousing capabilities, foundational data assets, and tools to accelerate data-driven analytics. Its mandate is to reduce time from data to insights.
The teams also own relationships with relevant technology infrastructure vendors.
Additionally, this role would influence and interact with all data and analytics related functions at Faire. The product analytics engineering (PAE) function enables domain-specific AE capabilities, working closely with Data Science, Strategy & Analytics, Finance. The data science (DS) function leads modeling development and evaluation, raising effectiveness and efficiency of key product features.
We’re looking for: An experienced technical leader with data and analytics background to work alongside and lead / influence across multiple teams and departments. Define technology strategy, roadmaps, architecture patterns and guidance. Striking the right balance of technical leadership and hands-on development.
What you’ll do
- Plan and execute on technology projects that scale with Faire’s growth; lead architecture development with a focus on data integrity, security, performance, scale, reliability, monitoring/alerting.
- Engage with team planning and prioritization, balancing urgent and near-term needs with long-term goals.
- Provide technical guidance and mentorship on the most difficult open-ended problems we face. Including cost-efficient compute and storage, ETL and ELT pipelines, data ingest and warehousing, monitoring, alerting, and cost tracking for workloads, design practices for foundational assets, data security, privacy, and governance.
Qualifications
- Experience designing, developing, and operating data streaming, batch, ETL/ELT, orchestration, storage, compute, workflow systems at scale.
- Experience defining architecture patterns and building reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and frameworks for analytics engineering workflows.
- Strong SQL and Python skills and experience.
- Data warehousing experience at Petabyte scale.
- Snowflake, Airflow, Spark experience especially valuable.
- Understanding of performance, capacity, cost trade-offs in data processing systems. Experience in guiding technical and product teams on such trade-offs.
- Experience diagnosing, mitigating, and permanently addressing data system production issues at scale. Experience rolling out patterns for workload performance and cost optimization.
- Experience operating in a growth stage company, with a data function consisting of multiple teams and over 60 people. Enabling teams to operate in a self-serve model.
- Excellent communication, leadership, and influencing 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 $228,000 to $313,500 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.
Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.
This job posting is for an existing vacancy.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)
Ready to apply?
Apply to Faire
Product Lead
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Location: Remote (US or Canada)
Type: US Applicants - Full-Time; Canadian Applicants - Independent Contractor
About Us
We’re scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth.
We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don’t insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time.
Our clients’ missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact.
Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down.
We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are at and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation.
And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same.
About the role
We’re hiring a Product Lead to join our team and embed directly inside one of our client organizations — a leader in design-build. This role is for a hands-on product builder who thrives on embedding with teams, understanding their workflows, and delivering AI-powered software that drives real value.
This is not a “strategy-only” role. You’ll spend your time with users, engineers, and executives alike — uncovering needs, setting priorities, and getting solutions shipped. You’ll bring modern product practices into a complex, real-world industry, while raising the bar for excellence in how software gets built.
What you’ll do
Discovery & Prioritization
- Embed with client teams to observe workflows, run discovery, and translate insights into actionable software requirements.
- Develop and apply structured prioritization methods (balancing user value, business outcomes, and technical feasibility) to guide trade-offs.
- Keep teams focused on the highest-leverage opportunities, not just the loudest requests.
Delivery & Execution
- Scope projects with realistic estimates and clear milestones that deliver value early and often.
- Know how to ship a prototype, gain feedback, iterate to value, and release production-grade solutions.
- Lead small pods of engineers and operators to ship high-quality, on-time solutions.
- Facilitate leadership updates and reporting, ensuring execs are aligned and confident in progress.
- Above all, be able to roll up your sleeves to solve the problem in a way that advances us and the organization.
AI & Technical Fluency
- Work directly with APIs, data pipelines, and AI models to shape and validate solutions.
- Partner with engineers to design and ship AI-driven tools that fit seamlessly into existing workflows.
- Establish best practices for evaluating tools — weighing accuracy, usability, and long-term fit.
- Stay current on AI capabilities and help translate them into practical applications inside the client’s environment.
Culture & Excellence
- Raise the bar for product craft, from clear scopes to clean communication and transparent evaluations that anyone can quickly understand.
- Codify lessons into playbooks so the client builds lasting product capability.
- Build a culture of excellence: sharing wins, measuring outcomes, celebrating progress, and owning areas of improvement.
Minimum qualifications
- 8+ years of product management experience, ideally building tools for complex workflows or mission-critical environments.
- Proven ability to balance discovery and delivery — finding the right problems and shipping solutions that stick.
- Experience leading small engineering teams or pods with high accountability.
- Consulting mindset: able to embed inside client organizations, guide practices, and earn trust quickly.
- Excellent communicator who can flex for end users, engineers, and executives.
- Comfortable working with APIs and data pipelines — able to shape requirements, validate inputs, and build against structured data.
- Experience with modern data platforms, ideally Snowflake (or equivalent warehouses like BigQuery, Redshift).
- Able to make smart build choices with AI — knowing when to call APIs, when to use custom GPTs, and how to combine them into solutions that actually work for teams.
- Operates confidently in cloud environments, especially Microsoft Azure and AWS ecosystems.
- Bonus: familiarity with enterprise integrations (e.g. Tableau) to connect insights into user workflows.
- Above all, be someone that people admire, because you’re having fun doing great work.
Why this role is different
Most product roles optimize features in a SaaS app. This one is about embedding with real teams across architecture, engineering, and construction, understanding how they work, and building AI-powered tools that change how projects get designed and delivered in the real world. You’ll see your work land quickly, and you’ll set the playbook for how we approach product for years to come.
Equal Opportunity Commitment
Human Agency is an Equal Opportunity Employer. We value diverse backgrounds and strive to build an inclusive culture where everyone feels welcomed and empowered.
Ready to apply?
Apply to Human Agency
Data Solutions Architect
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Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management.
At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation.
Data Solutions Architect
We are looking for a Data Solutions Architect to join our Data Solutions team!
As a Data Solutions Architect, you’ll be responsible for pre-sales, estimation, scoping, designing, implementing, and testing proposed modern analytic solutions. Working closely with our client partners, you’ll develop relationships with key technical resources while delivering tangible business outcomes.
Ideal candidates will be able to:
- Manage the Data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance
- Ability to collaborate with team members to design and implement technology that aligns with client business objectives
- Ability to build proof of concepts for a modern analytics stack supporting a variety of Cloud-based Business Systems for potential clients
- Experience working with ETL/ELT technologies such as Azure Data Factory, Fivetran, Snowflake OpenFlow, Apache NiFi and other similar ETL/ELT tools
- Experience working with analytic technologies such as Power BI, Tableau, Sigma, Omni, Looker and other similar analytic tools
- Experience working with cloud enabled data repositories such as Snowflake, Amazon Web Services, Microsoft Azure, and/or Google Cloud Platform.
- Team management experience and ability to manage, mentor and develop talent of assigned junior resources
- Ability to create actionable recommendations based on identified platform, structural and/or logic problems
- Ability to communicate and demonstrate a clear understanding of client business needs, goals, and objectives
- Ability to collaborate with other practices on Solution Proposals, Pre-Sales Activities, Estimation, Scoping and Solutions
Qualifications:
- 5+ years’ experience developing industry -leading business intelligence and analytic solutions
- 5+ years of experience writing Business requirements, Use cases and/or user stories, preferably for data warehouse or data mart initiatives
- 5+ years of SQL development including advanced analytic functions
- 3+ years of consulting experience working on project-based delivery using Software Development Life Cycle (SDLC)
- 4+ years of experience with relational databases (Postgres, SQL Server, Oracle, Snowflake, and Azure Synapse Analytics, etc.)
- 3+ years of experience creating functional test cases and supporting user acceptance testing
- 3+ years of experience in Agile/Kanban/DevOps Delivery
- Outstanding analytical, communication, and interpersonal skills
- Ability to manage projects and teams against planned work
- Responsible for managing the day-to-day client relationship on projects
- Ability to support sales cycles by leading orals sessions along with building POC solutions for clients
- Ability to travel
Preferred Skills:
- SnowPro certification
- 5+ years experience developing in Snowflake, AWS, Azure, GCP or similar cloud data platform
- 3+ years of experience with modern tech stack tools such as Jenkins, Kafka, Messaging, Kubernetes
- Solid understanding of data architecture, data modeling, statistics, data science and data infrastructure ecosystems
Spaulding Ridge’s Commitment to an Inclusive Workplace
When we engage the expertise, insights, and creativity of people from all walks of life, we become a better organization, we deliver superior services to clients, and we transform our communities and world for the better.
At Spaulding Ridge, we believe our team should reflect the rich diversity of society and we take seriously the responsibility to cultivate a workplace where every bandmate feels accepted, respected, and valued for who they are. We do this by creating a culture of trust and belonging, through practices and policies that support inclusion, and through our employee led Employee Resource Groups (ERGs): CRE (Cultural Race and Ethnicity), Women Elevate, PROUD and Mental Wellness Alliance.
The company is committed to offering Equal Employment Opportunity and to providing reasonable accommodation to applicants with physical and/or mental disabilities. If you are interested in applying for employment with Spaulding Ridge and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to our VP of Human Resources, Cara Halladay (challaday@spauldingridge.com). Requests for reasonable accommodation will be considered on a case-by-case basis.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, gender, sexual orientation, gender identity, protected veteran status or disability.
Ready to apply?
Apply to Spaulding Ridge