Ilir Sela started Slice with the belief that local pizzerias deserve all of the advantages of major franchises without compromising their independence. Starting with his family’s pizzerias, we now empower over tens of thousands of restaurants with the technology, services, and collective power that owners need to better serve their digitally minded customers and build lasting businesses. We’re growing and adding more talent to help fulfill this valuable mission. That’s where you come in.

The Role:

We're looking for a highly analytical, detail-oriented Senior Associate, Sales Strategy & Operations to support and scale our sales organization. This is a high-impact role for someone eager to dive into complex, data-driven problems and contribute to meaningful outcomes under the guidance of experienced leadership. You'll work closely with our CRO, and cross-functional teams across Product, Finance, and Marketing to support end-to-end strategic initiatives, maintain the operating cadences that power our GTM motion, and contribute to revenue growth. This is an ideal role for someone who loves turning data into action, building scalable processes, and growing their ability to influence outcomes.

What You'll Do:

Planning & Performance Analysis

• Support annual and quarterly planning processes with sales leadership, including territory design, capacity modeling, and quota setting
• Analyze sales performance trends and surface opportunities to improve conversion, productivity, and revenue growth
• Build and maintain dashboards, forecasts, and reports to track pipeline health, attainment, and key KPIs
• Contribute to pricing, packaging, and go-to-market analyses

Process & Systems

• Support the optimization of sales processes across the funnel (lead → opportunity → close)
• Maintain CRM hygiene and data integrity; ensure accurate reporting and consistent usage
• Assist in cross-functional efforts to implement and optimize tools, workflows, and automations
• Support deal execution across approvals, discount analysis, and deal desk activities

Cross-Functional Collaboration

• Partner with Sales, Marketing, Finance, and Customer Success teams on operational needs
• Help translate leadership goals into operational plans and measurable outcomes
• Contribute to sales enablement initiatives, including documentation, playbooks, and training materials

Strategy & Projects

• Identify inefficiencies and recommend process improvements
• Support strategic analyses and special projects in support of leadership priorities

The Winning Recipe:

• 3–5 years of experience in sales operations, strategy, consulting, analytics, or a related role
• Strong analytical skills with the ability to interpret data and communicate insights clearly
• Experience working with CRM systems (e.g., Salesforce, HubSpot)
• Proficiency in Excel/Google Sheets; familiarity with dashboards and reporting
• Strong organizational skills and attention to detail
• Ability to manage multiple projects in a fast-paced environment
• Experience using AI tools
• Familiarity with BI tools (Looker, Tableau, Power BI)
• SQL or data querying experience a plus
• Excellent written and verbal communication skills, with the ability to present insights and recommendations clearly to stakeholders

The Extras:

Working at Slice comes with a comprehensive set of benefits, but here are some of the unexpected highlights:

• Flexible PTO
• Market leading medical, vision and dental insurance
• 401K matching up to 4%
• Wellness reimbursement/stipend
• Weekly pizza stipend (Yes, that’s a thing!)

Salary Range: $95-115k

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

The Hiring Process:

You’ll find a summary of the expected interview process below. We’ll stick to this as closely as possible, but please note this may be subject to change. This entire process is expected to take 2-3 weeks to complete and you’d be expected to start on a specific date.

• Application
• 30 minute introductory Recruiter meeting
• 30 minute Hiring Manager interview
• 30 minute Technical interview
• 30 minute final Cultural Interview

Pizza brings people together. Slice is no different. We’re an Equal Opportunity Employer and embrace a diversity of backgrounds, cultures, and perspectives. We do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. We are also proud members of the Diversity Mark NI initiative as a Bronze Member.

Privacy Notice Statement of Acknowledgment

When you apply for a job on this site, the personal data contained in your application will be collected by Slice. Slice is keeping your data safe and secure. Once we have received your personal data, we put in place reasonable and appropriate measures and controls to prevent any accidental or unlawful destruction, loss, alteration, or unauthorised access. If selected, we will process your personal data for hiring /employment processes, as well as our legal obligations.

If you are not selected for the job position and you have given consent on the question below (by selecting "Give consent") we will store and process your personal data and submitted documents (CV) to consider eligibility for employment up to 365 days (one year). You have the right to withdraw your previously given consent for storing your personal data and CV in the Slice database considering eligibility for employment for a year. You have the right to withdraw your consent at any time.

For additional information and / or exercise of your rights to the protection of personal data, you can contact our Data Protection Officer, e-mail: privacy@slicelife.com

See yourself at Twilio

Join the team as Twilio’s next Sr. Analyst, Strategic Measurement.

About the job

We are actively recruiting for this role to fill an existing vacancy. This position is needed to serve as the "New Frontiers" lead for the Marketing Strategy, Analytics & Innovation team, focusing on ambiguous, highly strategic emerging channels, potential programs & measurement optimization/instrumentation. You will be responsible for defining, measuring, and accelerating our growth in new digital landscapes, specifically focusing on AI Engine Optimization (AEO), brand measurement and advanced attribution frameworks. Partnering closely with the global marketing analytics teams, Brand, Demand Gen, PR, Content, and Developer Network teams, you will execute against high-visibility objectives enabling marketing's business impact to executive leadership. Ideally, this position has a strong statistical background, a substantial capacity for hypothesis-driven thinking, and the ability to deliver "unmistakable clarity" in complex executive presentations.

Responsibilities

In this role, you’ll:

• Analyze LLM visibility and Share of Voice, create a continuous feedback loop across various teams to optimize Twilio's presence in AI search/AEO (answer engine optimization), drive enablement and operational efforts to ensure consistent tool usage and storyline.
• Support the strategy, data ingestion, and modeling required to build and maintain net new and existing brand measurement components. Drive a single, cohesive narrative combining disparate data sets.
• Inspire experimentation adoption in teams. Build the frameworks and structure to drive experimentation rigor and clarity of incrementally of marketing initiatives.
• Support Media Mix Modeling (MMM) and Multi-Touch Attribution (MTA) initiatives to understand the impact of various marketing channels on Sign Ups, SQLs, activations, and guide budget allocation.
• Translate complex data sets into actionable insights and strategic recommendations for exec-level audiences.
• Own enablement efforts for emerging channels, sharing accomplishments, KPIs, and cross-team collaborations broadly across the marketing organization.

Qualifications 

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

*Required:

• 5+ years of experience in statistical analysis, experimentation and/or scenario planning.
• A strong understanding of SEO and emerging AI Search (AEO/GEO) landscapes.
• A hypothesis-driven thinker who does not just report the "what," but actively tests the "why". Able to formulate testable guesses and distill the essential from complex marketing data.
• Experience with running or interpreting advanced measurement frameworks (Incrementality, MMM, MTA).
• Highly reliable and a self-starter.
• Interest or experience in applying AI-driven solutions to analytics workflows.
• Strong communication skills with the ability to communicate effectively with both technical and non-technical audiences
• Detail-oriented with a passion for clean, trustworthy data.
• Strong analytical skills. 
• Excellent collaborator across cross functional teams; skilled in managing stakeholder projects end to end.

Desired:

• Experience supporting various stakeholder functions and their insights: Brand, PR, Social, Content, Demand Generation
• Experience with BI tools (Tableau, Looker Studio) and modeling (ROI, LTV:CAC, payback).
• Interest or exposure to fraud monitoring tools and processes.
• Working knowledge of Customer Data Platforms (CDPs) and analytics data integrations.

Location

This role will be remote, and based in Alberta, British Columbia, or Ontario, Canada.

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 15% travel is anticipated to help you connect in-person in a meaningful way. 

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off.

The estimated pay ranges for this role are as follows:

• $90,800 - $113,500 CAD
• Target Bonus Percentage 12.50%

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. 

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

Sr. SEO Specialist - Job Description Overview

Okta is seeking a highly skilled and results-oriented Senior SEO Specialist to independently drive high-impact SEO and GEO work across Okta.com. This is a senior individual contributor role that requires full ownership, proactive problem-solving, and senior-level decision-making across technical, content, and analytical SEO initiatives. The ideal candidate demonstrates strong judgment, clear communication, operational rigor, fruitful cross-functional collaboration, and the ability to translate SEO insights into measurable business outcomes with minimal oversight. 

Strategic Leadership & Ownership

• Operate with minimal supervision, taking full ownership of all assigned work and proactively solving problems and identifying opportunities
• Self-initiate SEO checks, QA, competitive research, and the development of new ideas and strategies
• Manage multiple concurrent projects effectively, meeting both deadlines and quality standards while triaging needs based on business impact
• Create and communicate SEO strategy roadmaps with stakeholders and Okta leadership
• Proactively update manager and stakeholders on project status and progress
• Understands how to work in a collaborative team environment and enterprise organization who can be impactful via strong POVs, but can also 
• Stay current on industry changes (SEO, AI/GEO/AEO) and apply new insights to daily work and long-term strategy

Core SEO Execution

• Demonstrate SEO expertise consistent with 5+ years of professional experience, understanding the why behind SEO issues
• Identify and prioritize SEO gaps based on potential business impact and measurable outcomes (acquisition, performance)
• Utilize systems, checklists, and repeatable processes to ensure comprehensive and high-quality analysis and execution
• Maintain a strong working understanding of Okta’s business model and product offerings
• Correlate cause-and-effect relationships in SEO performance to synthesize trends and patterns
• Mentor and enable marketing and non-marketing stakeholders to adopt SEO best practices
• Develop best practice documentation to enable internal teams to self-service

Communication & Delivery

• Provide senior-level insights, synthesis, and actionable recommendations.
• Communicate complex SEO concepts clearly and effectively to both technical and non-technical audiences
• QA all work prior to stakeholder review, have a strong attention to detail, and anticipate stakeholder questions and address them proactively
• Use a self-owned resources and task management system (e.g., Asana) to manage work, files, tools, links, and deadlines with accurate status, ownership, and due dates

Qualifications

• 5+ years of professional experience demonstrating advanced SEO expertise (technical, content, and analytical).
• Knowledge of multiple SEO platforms such as STAT, SEMRush, Lumar/DeepCrawl, Looker Studio, Google Analytics, Google Search Console, Screaming Frog, and more.
• Experience with Adobe Experience Manager (AEM) is a plus
• Passionate about SEO, GEO, content strategy, AI, and digital marketing
• Proficiency in spreadsheets, including, but limited to functions such as VLOOKUPs, % change formulas, conditional formatting, and more.
• Comfortable navigating CMS platforms and making accurate site changes if needed
• Experience with reporting platforms like GA4, Adobe Analytics, Looker Studio, and more.
• Proven ability to leverage SEO tools, AI, and automation to increase efficiency and scale impact.
• Ability to create impactful slide decks, deliverables, and reporting materials for senior-level audiences
• A collaborative mindset that contributes positively to team velocity, quality, and morale.

#LI - Hybrid

#P14372_3362158

We are looking for an innovative, experienced Director of Paid Media to lead our Global Paid Media team within Okta’s fast-paced marketing organization. This isn't a role for someone looking to coast; we need a leader with grit, tenacity, and an inventive spirit to execute complex, full-funnel programs that drive massive pipeline growth for both Auth0 and Okta.

The ideal candidate is a Digital Expert who lives at the intersection of technology and creativity. You are AI-first, process-oriented, and possess the technical depth to navigate a complex B2B ecosystem. As a master of stakeholder management, you are as comfortable deep-diving into performance data with analysts as you are presenting high-level strategy to executive leadership.

What You Will Do:

• Global Leadership: Lead and mentor a high-performing global team of paid media leaders, fostering a culture of innovation, accountability, and continuous learning.
• Full-Funnel Strategy: Design and execute sophisticated, multi-channel paid media roadmaps (Search, Social, Programmatic, ABM) that drive measurable pipeline for the Auth0 and Okta brands.
• Stakeholder Orchestration: Act as a key partner to Sales, Product, and Finance, effectively communicating the impact of paid media on the broader business objectives.
• AI & Innovation: Lead the charge in integrating AI-driven tools and methodologies into our media buying, creative optimization, and reporting workflows.
• Operational Excellence: Build and refine scalable processes and frameworks to ensure global consistency while allowing for regional nuances and agility.
• Budget & Vendor Management: Oversee a significant global budget, maximizing ROI and leading strategic relationships with external agencies and platforms.
• Technical Integration: Work closely with Marketing Ops and Analytics to ensure seamless tracking, attribution, and data integrity across the digital ecosystem.

What You Will Bring:

• Experience: 10+ years in Paid Digital Marketing with at least 8+ years of people management experience. Experience managing global, distributed teams is a significant plus.
• B2B Expertise: A proven track record in the B2B SaaS space, understanding the complexities of long sales cycles and high-intent lead generation.
• Digital Mastery: Deep technical knowledge of the paid media landscape, including advanced bid management, audience architecture, and attribution modeling.
• Resourcefulness & Grit: A "builder" mindset with the ability to navigate ambiguity, solve complex problems, and push through obstacles to deliver results.
• Communication Skills: Exceptional ability to translate complex digital strategies into compelling narratives for a wide variety of roles across the organization.
• Analytical Rigor: A data-obsessed approach to decision-making, with experience in Looker, Tableau, Adobe Analytics, and advanced CRM workflows & integrations.
• Continuous Learner: A natural curiosity for what’s next—whether it’s the latest AI breakthrough or shifts in privacy regulations—and a passion for applying that knowledge.

Does this sound like you? If you are a driven leader who wants to redefine what paid media looks like in the age of AI, we want to hear from you.

#LI- Hybrid

P24311_3341804

Overview

About the Role 

Instacart’s Strategic Finance team partners across the company to drive clarity, allocate resources, and accelerate growth. We are seeking an experienced Senior Financial Analyst to join our Strategic Finance org supporting Instacart Business & Health – Instacart’s longer-term investment areas focused on empowering businesses and improving health outcomes through food access.

In this role, you will leverage data-driven insights to provide strategic guidance, identify new opportunities, and enhance decision-making within the Instacart Business team. Your work will directly impact our growth strategy and contribute to Instacart Business’s long-term vision of accelerating technology adoption across the entire food and beverage supply chain.

This is a rare opportunity to build from first principles while also scaling what works—ideal for someone who thrives in ambiguity, enjoys rolling up their sleeves, and wants to make a tangible impact on Instacart’s next phase of growth. 

About the Team

The Strategic Finance team is an integral thought partner to Instacart's core functional leaders, providing essential support for strategic, financial/investment, and product decision-making. We serve as a point of connection between teams, facilitating collaboration, idea sharing, and alignment to achieve our desired business outcomes.

About the Job

• Serve as the primary strategic finance business partner for Instacart Business and Instacart Health, becoming an expert by gaining a deep understanding of how we drive growth and solve user problems.
• Partner with and influence Instacart leadership (Product/Eng, Data Science, Sales/Commercial teams and C-suite) to develop high-level strategy, formulate business plans, pricing, and evaluate resourcing and profitability trade-offs.
• Work on business problems that involve uncertainty, bringing structure, data, and sound judgment to propose a clear and executable plan.
• Produce executive-ready narratives and materials for business reviews, planning cycles, and leadership updates; communicate complex analyses with clarity and conviction.
• Facilitate strategic planning in collaboration with cross-functional partners, sizing new opportunities, prioritizing initiatives, and implementing performance measurement processes.
• Proactively identify opportunities to automate and improve reporting and planning processes, including exploring AI-enabled workflows to increase speed and accuracy.

About You

Minimum Qualifications

• 4+ years of experience in strategic finance, corporate finance, business operations, investment banking, management consulting, or private equity.
• Bachelor’s degree in Finance, Economics, Business, Engineering, Mathematics, or a related field.
• Advanced financial modeling in Excel or Google Sheets; demonstrated ability to build models and reporting from scratch.
• Proficiency with SQL and BI tools (e.g., Looker, Tableau) to self-serve analysis and automate reporting; experience leveraging AI or scripting to streamline workflows.
• Self-starter with the ability to quickly respond to problems independently and proactively address conflicting stakeholder requirements to achieve creative compromise.
• Strong written and verbal communication skills with a track record of producing executive-ready materials.
• Ability to operate in a fast-paced, rapidly changing environment while managing multiple priorities and meeting tight deadlines.

Preferred Qualifications

• Masters degrees in business and/or a quantitative discipline (e.g. economics, statistics) and background in marketplace or early stage companies are a plus.
• Preferred location is San Francisco Bay Area or New York City; remote candidates within the United States and Canada are welcome to apply.

#LI-Remote

ABOUT THE ROLE

We are seeking a highly skilled and intellectually curious analyst to shape the future of financial data at Instacart, driving innovation at the intersection of systems, analytics, and business strategy.

In this role, you will architect and deliver data models, pipelines, and reporting infrastructure that empower Finance and Accounting with trusted insights at scale. 

You’ll collaborate across technical and business teams to ensure financial data is accurate, reliable, and compliant, while also advancing large-scale systems initiatives, accelerating the month-end close, and optimizing cloud spend in our AWS environment.

ABOUT THE TEAM

The Financial Data Analytics team is the connective tissue between Finance, Accounting, and Engineering. Our mission is to deliver trusted financial data that is both a foundation for compliance and a catalyst for strategic decision-making. We combine technical depth with financial expertise to build scalable, high-value data solutions—transforming complexity into clarity and empowering leaders to act with confidence.

KEY RESPONSIBILITIES

• Bridge Data & Business Needs – Translate business requirements into scalable data models by asking the right questions, digging into details, and mining insights that create measurable impact.
• Own Data Initiatives End-to-End – Take ambiguous ideas and transform them into well-defined, high-impact projects with clear deliverables.
• Build Decision-Making Tools – Design and automate dashboards, models, and reporting systems that surface clear insights and guide long-term growth strategies.
• Support Revenue Accounting – Build and maintain data products (dashboards, reports, analyses) that underpin the Revenue Accounting organization, including embedding revenue recognition logic into robust financial data models.
• Ensure Compliance & Governance – Apply compliance-first design principles to support SOX, audit readiness, and enforce data governance standards.
• Maintain Data Integrity – Implement validation, monitoring, and reconciliation frameworks to ensure accuracy, consistency, and reliability across financial datasets.
• Drive Continuous Improvement – Proactively identify opportunities for process optimization, automation, and system enhancement, unlocking efficiency across Finance and Accounting.
• Leverage AI & Next-Generation Analytics – Harness cutting-edge AI technologies (e.g., Claude, Cursor, Python ML libraries, Copilot) to reimagine how financial data is modeled, automated, and delivered—accelerating insights, scaling workflows, and shaping the future of financial analytics.

ABOUT YOU

Minimum Qualifications

• Bachelor’s degree in a related field
• 5+ years (7+ preferred) of experience in data analytics or analytics engineering roles
• Strong SQL and cloud data fundamentals, with hands-on experience in Snowflake, dbt, and BI tools (Mode, Looker, Tableau, etc.)
• Experience building and supporting complex data pipelines with emphasis on accuracy, compliance, and traceability
• Familiarity with financial data structures, accounting processes, and enterprise systems (e.g., Oracle, Workday, Salesforce, Adaptive)
• Strong communication skills with the ability to engage effectively across technical and non-technical teams

Preferred Qualifications

• Public company experience with exposure to SOX compliance
• Background in high-growth technology environments
• Experience implementing large-scale financial or operational systems (ERP, enterprise data platforms, etc.)
• Project management experience a plus
• Demonstrated ability to support Finance and Accounting teams with scalable data solutions
• Cloud cost management experience, ideally in an AWS environment
• Familiarity with AI/ML applications in data analytics (e.g., natural language SQL tools, forecasting models, anomaly detection frameworks)

#LI-Remote

Overview

Instacart’s Strategic Finance team partners across the company to drive clarity, decisions, and results. Within our Growth pillar, we lead forecasting and insights for our Core grocery business. We are hiring a Senior Strategic Financial Analyst to own topline forecasting, deepen understanding of revenue and unit economics, and translate insights into actions that accelerate growth.

In this role, you’ll join a small, high-impact team within a 25-person Strategic Finance org. You’ll partner closely with Product, Marketing, Business Development, and Data Science, and you’ll regularly develop materials for and engage with senior leadership. If you thrive on rolling up your sleeves, diving into data, and shaping strategy with executive stakeholders, this role offers meaningful scope and visibility. 

This is a remote role open to candidates across the U.S. and Canada; West Coast time zone preference is helpful but not required.

About the Job

• Own topline forecasting for Instacart’s Core grocery business, building and maintaining driver-based models that clearly tie to business performance and operational levers.
• Lead proactive deep dives on revenue and unit economics (e.g., LTV, CAC, conversion, AOV, contribution margin) to identify growth opportunities, surface risks, and recommend experiments that improve forecast accuracy and business outcomes.
• Partner cross-functionally with Product, Marketing, Business Development, and Data Science to align assumptions, improve data quality, instrument new metrics, and operationalize insights into roadmaps.
• Develop executive-ready materials for leadership, including narrative memos, dashboards, and scenario/sensitivity analyses that inform strategic priorities, resource allocation, and trade-off decisions.
• Own initiative reporting across marketing, product, and enterprise programs; standardize measurement, track incremental impact, and ensure clear readouts for weekly growth reviews, monthly business reviews, and ad hoc deep dives.
• Collaborate with other Strategic Finance teams to assess the impact of retailer, supply, and marketing initiatives on Core business performance; support investor relations, Board materials, and company-wide Planning.
• Continuously refine and automate models and reporting to improve speed, accuracy, and decision-making, balancing near-term deliverables with long-term scalability.

About You

Minimum Qualifications

• 3+ years of experience in strategic finance/FP&A, investment banking, or management consulting.
• Bachelor’s degree in Finance, Economics, Business, Engineering, Mathematics, or a related quantitative field.
• Advanced proficiency in Excel or Google Sheets, including building driver-based financial models, revenue forecasts, and scenario/sensitivity analyses.
• Experience preparing and presenting executive-ready materials to VP/C-suite stakeholders, with the ability to distill complex data into clear business narratives.
• Track record of owning end-to-end forecasting and performance reporting for a product line, business segment, or revenue stream.

Preferred Qualifications

• Experience in a two-sided marketplace or consumer internet business (e.g., on-demand, e-commerce, advertising, or subscription models).
• Proficiency with SQL for self-serve analysis; familiarity with BI tools such as Looker or Tableau.
• Experience partnering cross-functionally to define metrics, align on assumptions, evaluate experiments, and operationalize insights.
• Background creating materials for Board meetings, investor relations, and quarterly/monthly business reviews in a high-growth environment.
• MBA, CFA, or other relevant advanced credential.
• Ability to collaborate effectively across time zones; availability to align to West Coast hours when needed is a plus.

#LI-Remote

Overview

Instacart’s Canada Brand Partnerships team helps Consumer Packaged Goods (CPG) partners grow on our retail media platform by connecting their brands with high-intent shoppers. We’re hiring an Account Manager to join our Canada Account Management group in Toronto (open to remote across Canada) to own and grow a strategic book of CPG advertisers.

In this role, you will partner closely with Account Executives, Ads Operations, Measurement, and Product to maximize advertiser value, deliver measurable performance, and scale impactful programs. You’ll work on complex, data-rich problems at the intersection of e-commerce and advertising, collaborate with stakeholders across Instacart and our retailer network, and help shape how leading CPGs win on Instacart.

We’re operating in a fast-growing environment with evolving processes and ambitious goals. If you thrive in a high-velocity setting, enjoy rolling up your sleeves, and care deeply about driving results for customers and partners, this is an opportunity to make a meaningful impact.

About the Role

• Own a portfolio of Canadian CPG advertisers, serving as the primary point of contact to drive growth, retention, and long-term partnership value.
• Plan, launch, and optimize retail media campaigns across Instacart ad products; analyze performance to deliver data-backed recommendations that improve ROAS, incrementality, and category share.
• Identify and execute upsell and cross-sell opportunities, build business cases, and partner with Account Executives on renewals, expansions, and joint business planning.
• Lead regular performance reviews and Quarterly Business Reviews with senior client stakeholders, translating complex data into clear narratives and actionable roadmaps.
• Forecast pipeline and revenue, manage pacing and budgets, and ensure operational excellence in collaboration with Ads Operations, Measurement, and Finance.
• Advocate for client needs with Product and Engineering by synthesizing feedback and helping pilot new features that improve advertiser outcomes at scale.

About You

Minimum Qualifications

• 3+ years of experience in account management or client success within digital advertising, retail media, or e-commerce performance marketing.
• Proven track record managing a portfolio of advertisers and meeting or exceeding revenue, retention, and performance goals.
• Hands-on experience running end-to-end campaigns (planning, trafficking coordination, optimization, reporting) and leading QBRs or executive readouts.
• Proficiency with Excel/Google Sheets (pivot tables, lookups) and comfort interpreting large data sets to create clear, actionable insights.
• Effective communicator with experience influencing senior client stakeholders and collaborating cross-functionally with sales, operations, and analytics teams.
• Bachelor’s degree in Business, Marketing, Analytics, or a related field, or equivalent practical experience.

Preferred Qualifications

• Experience working with CPG advertisers and familiarity with retail media networks (e.g., Instacart Ads, Amazon Ads, Walmart Connect).
• Knowledge of performance marketing metrics (ROAS, CPA, incrementality) and experimentation methodologies.
• Exposure to data visualization or BI tools (e.g., Looker, Tableau) and comfort building client-facing dashboards.
• Working knowledge of SQL for exploratory analysis and performance deep dives.
• Bilingual English/French and experience supporting Canadian national and regional CPG stakeholders.

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond.

Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn.

Upwork’s Marketing Analytics team is focused on optimizing our growth engines through rigorous experimentation and data-driven decision making. This role sits at the intersection of product and marketing, driving measurement and experimentation across the customer funnel to improve acquisition, engagement, and conversion. You will partner cross-functionally with product, marketing, SEO, and data science teams to design experiments, analyze user behavior, and build frameworks that inform growth strategy. This role also supports understanding organic discovery, including traditional search and emerging AI-driven discovery surfaces.

Your Responsibilities:

• Organic & AI Discovery Analytics: Support analysis of organic channels, including SEO and emerging AI-driven discovery (e.g., ChatGPT, Gemini). Evaluate performance signals such as engagement, traffic, and visibility.
• Strategic Communication: Present insights and recommendations to marketing leadership, influencing growth strategy and prioritization.
• Experimentation & Testing: Design, execute, and analyze A/B and incrementality tests. Define hypotheses, success metrics, and test duration, and conduct deep post-test analysis to inform decisions.
• Drive insights that improve conversion, engagement, and overall growth.
• Data Extraction & Technical Analysis: Extract and analyze large datasets using SQL, Python, or R to support experimentation, user behavior analysis, and growth initiatives.
• Experimentation Tooling: Utilize platforms such as Statsig, Optimizely, VWO, or similar tools to implement and monitor experiments across experiences.
• SEO Tooling: Leverage tools such as Google Search Console, SEMrush, Ahrefs, or similar to explore keyword performance and on-site engagement trends.

What it takes to catch our eye:

• A degree in Mathematics, Statistics, Economics, Computer Science, or a related quantitative field.
• Proven experience designing and executing experiments (A/B, multivariate, incrementality), including hypothesis development, metric definition, sample sizing, and post-test analysis.
• Experience in marketing or growth analytics, with a strong focus on customer funnels, acquisition, and conversion optimization. Experience with organic search and SEO analytics.
• Technical Proficiency: Strong SQL skills and proficiency in Python or R for analyzing large datasets and supporting experimentation and analytics workflows.
• Experimentation Tools: Experience with platforms such as Statsig, Optimizely, VWO, or similar tools used to run and monitor experiments.
• BI tools such as Looker or Tableau. (SEO-specific tools are a plus, e.g., Google Search Console, SEMrush, Ahrefs, Botify, Screaming Frog)
• Testing & Statistical Knowledge: Strong foundation in experimental design, statistical significance, and methods to measure incremental impact.
• Marketplace Context: Previous experience in a two-sided marketplace or consumer tech environment will be highly regarded.

Come change how the world works.

Upwork is establishing an operational hub in Toronto, Canada. The new office is expected to be fully operational by Q4 2026. This role will require 3 days in office once we have an office open.

This position will initially be employed through a partner to ensure a seamless hiring process while we establish the hub. Once the hub is established, there may be opportunities to transition to employment with Upwork, depending on business needs and other requirements. While employed by the partner, you’ll work as part of Upwork’s team, with access to our resources, culture, and growth opportunities.

Our partner will offer competitive benefits. When Upwork’s hub is established, we will be excited to offer employment and benefits directly as business needs require. 

Upwork is committed to building a diverse, inclusive, and equitable workforce. Employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or any other status protected by applicable law.

We use BrightHire, an AI-enabled tool, to record interviews and summarize interview transcripts. The tool allows the interviewer to focus on the discussion and does not score or evaluate candidates or make recommendations. The interview transcripts are reviewed, and decisions are only made by humans. Candidates who prefer not to have their interview recorded through BrightHire can opt out when the interview is scheduled.

About the Role

Apollo is seeking a GTM Strategy & Operations Manager to join our Revenue Operations Strategy & Operations team. This role sits at the center of our Go-To-Market organization and is responsible for ensuring our data, forecasting, and GTM performance metrics are accurate, trusted, and accessible across the business.

You will work closely with BI/Analytics, Sales Ops, CS Ops, Finance, and GTM leadership to build a reliable source of truth across our ARR waterfall, define core revenue and customer metrics, and deliver insights that inform GTM strategy and execution. This is a highly cross-functional, high-impact role for someone who enjoys combining deep analytics with operational problem solving.

What You’ll Do

• Build and maintain source-of-truth reporting across the ARR waterfall, including key dimensionality, and GTM Scorecard metrics.
  
  
• Partner with BI/Analytics to develop scalable data models and dashboards that ensure data confidence and consistency for GTM stakeholders and analytics communities.
  
  
• Define, document, and operationalize core GTM metrics, including logo definitions, ARR growth and accounting logic, funnel metrics, retention, and expansion.
  
  
• Develop and maintain advanced SQL-based analyses to support forecasting, pipeline health, performance tracking, and strategic decision-making.
  
  
• Deliver clear, actionable insights to GTM and RevOps leadership to support planning, prioritization, and execution.
  
  
• Support operational analytics initiatives such as source attribution, channel and partner performance, and funnel optimization across Sales and Customer Success.
  
  
• Ensure Salesforce data is well understood, modeled correctly, and effectively leveraged in reporting and analysis.
  
  

Qualifications and Experience

• Expert-level SQL skills, with the ability to build complex, performant queries and data models.
  
  
• Strong experience working with Salesforce data and architecture.
  
  
• Advanced proficiency in data visualization and storytelling using tools such as Tableau, Looker, or similar.
  
  
• Experience in Revenue Operations, GTM analytics, or Strategy & Operations, preferably across Sales and Customer Success.
  
  
• Strong understanding of B2B SaaS GTM motions, including acquisition funnels, retention, and expansion.
  
  
• Ability to translate ambiguous business questions into structured analyses and insights.
  
  
• Excellent communication skills and comfort working cross-functionally with technical and non-technical stakeholders.
  
  
• 5+ years of experience in Sales Operations, Revenue Operations, or a related role.
  
  
• Experience working in fast-paced, product-led, high-growth SaaS companies.
  
  
• Exceptional skills in cross-functional collaboration, data analysis, and operational problem solving.

Tucows (NASDAQ:TCX, TSX:TC) is possibly the biggest Internet company you’ve never heard of. We started as a simple shareware site in 1993 and have since grown into a stable of businesses: Tucows Domains, Ting Internet and Wavelo.

We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet!

Today, over one thousand people work in over 20 countries to help us make the Internet better. If this sounds exciting to you, join the herd! 

About the Role

We’re looking for a curious, technically strong, and business-minded Data Analyst to join our Data Engineering team. This is a high-impact analytics position for someone who works at the intersection of data engineering, business intelligence, finance analytics, and AI-enabled decision support.

You’ll partner closely with Finance, Operations, Data Engineering, and business leadership to turn complex questions into trusted, actionable insights — with a particular focus on supporting the Finance organization. This role reports to the Data Engineering Manager.

What You’ll Do

• SQL & Business Analysis: Translate ambiguous business questions into precise SQL queries against our Snowflake warehouse. Own and deliver recurring financial reporting, reconciliation, and operational analytics with an eye for improving efficiency over time.
• Diagnostic & Advanced Analytics: Go beyond dashboards to explain why metrics move. Conduct root cause analyses, build forecasting models, and support decision-making through churn analysis, customer segmentation, CLV, A/B testing, and similar techniques.
• Business Intelligence & Self-Service Analytics: Build, maintain, and optimize Looker dashboards, Explores, and LookML definitions that provide governed, reliable, self-service analytics. Govern the semantic layer — metrics, dimensions, and business logic — that powers trusted reporting and AI-enabled analytics. Train business users to leverage these tools confidently.
• Finance Partnership & Compliance: Serve as the primary analytical partner to the Finance team. Own financial reporting, reconciliation, and forecasting workflows. Support SOX audits and ITAC testing, ensuring financial data is accurate, auditable, and well-documented.
• Data Quality & Cross-Functional Collaboration: Monitor and improve data quality across analytical pipelines, especially for finance-critical datasets. Gather requirements from stakeholders, translate business needs into technical specs, and collaborate with Data and Analytics Engineers to resolve upstream issues.

What You Bring

Must Have

• Experience: 3+ years in a Data Analyst, Analytics Engineer, or BI Analyst role in a modern cloud data stack environment.
• SQL mastery: Advanced SQL including CTEs, window functions, joins, and performance-aware querying in Snowflake or a comparable cloud warehouse.
• Looker expertise: Hands-on experience with Looker: dashboard development, Explores, LookML, governed metrics, and enabling self-service analytics for business users.
• dbt proficiency: Ability to read, maintain, test, and document dbt models. Familiarity with sources, tests, macros, lineage, and dbt development workflows.
• Finance domain knowledge: Solid understanding of GL, journal entries, trial balance, financial statements, reconciliations, and period-close processes. SOX/ITAC experience is highly valued.
• Data modeling: Working knowledge of dimensional modeling — fact/dimension tables, star schemas, slowly changing dimensions.
• Statistical & predictive analysis: Applied experience with regression, classification, A/B testing, segmentation, and forecasting using SQL, Python, or similar tools.
• Communication: Ability to explain complex analysis clearly to both Finance leadership and technical peers. Strong written and verbal skills.
• Version control: Comfortable with Git/GitHub: branching, PRs, and collaborative development in a terminal environment.
• AI & LLM analytics: Experience with LLMs or AI-assisted analytics tools (Claude, Gemini, GPT, Looker Conversational Analytics). Exposure to Cortex Analyst, Cortex Search, or AISQL capabilities. Understanding of MCP integration patterns is a plus.

Nice to Have

• Telecom / subscription domain: Experience in telco, connectivity, or subscription environments (MVNOs, ISPs). Familiarity with churn, ARPU, MRR, billing, and provisioning metrics.
• Workflow orchestration: Familiarity with Airflow, Dagster, or Prefect for understanding scheduled pipelines and diagnosing failures.
• Certifications: Looker, Snowflake, dbt, or cloud platform certifications.

​​The base salary range for this position is $79,650 - $88,500. Range shown in $CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits

Want to know more about what we stand for? At Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

We use AI-enabled tools throughout our recruitment process to help us work more efficiently and consistently. These tools support our hiring teams by organizing and reviewing information, while final hiring decisions are always made by people.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here.

Tucows (NASDAQ:TCX, TSX:TC) is possibly the biggest Internet company you’ve never heard of. We started as a simple shareware site in 1993 and have since grown into a stable of businesses: Tucows Domains, Ting Internet and Wavelo.

We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet!

Today, over one thousand people work in over 20 countries to help us make the Internet better. If this sounds exciting to you, join the herd! 

About the Role

We’re looking for a curious, technically strong, and business-minded Data Analyst to join our Data Engineering team. This is a high-impact analytics position for someone who works at the intersection of data engineering, business intelligence, finance analytics, and AI-enabled decision support.

You’ll partner closely with Finance, Operations, Data Engineering, and business leadership to turn complex questions into trusted, actionable insights — with a particular focus on supporting the Finance organization. This role reports to the Data Engineering Manager.

What You’ll Do

• SQL & Business Analysis: Translate ambiguous business questions into precise SQL queries against our Snowflake warehouse. Own and deliver recurring financial reporting, reconciliation, and operational analytics with an eye for improving efficiency over time.
• Diagnostic & Advanced Analytics: Go beyond dashboards to explain why metrics move. Conduct root cause analyses, build forecasting models, and support decision-making through churn analysis, customer segmentation, CLV, A/B testing, and similar techniques.
• Business Intelligence & Self-Service Analytics: Build, maintain, and optimize Looker dashboards, Explores, and LookML definitions that provide governed, reliable, self-service analytics. Govern the semantic layer — metrics, dimensions, and business logic — that powers trusted reporting and AI-enabled analytics. Train business users to leverage these tools confidently.
• Finance Partnership & Compliance: Serve as the primary analytical partner to the Finance team. Own financial reporting, reconciliation, and forecasting workflows. Support SOX audits and ITAC testing, ensuring financial data is accurate, auditable, and well-documented.
• Data Quality & Cross-Functional Collaboration: Monitor and improve data quality across analytical pipelines, especially for finance-critical datasets. Gather requirements from stakeholders, translate business needs into technical specs, and collaborate with Data and Analytics Engineers to resolve upstream issues.

What You Bring

Must Have

• Experience: 3+ years in a Data Analyst, Analytics Engineer, or BI Analyst role in a modern cloud data stack environment.
• SQL mastery: Advanced SQL including CTEs, window functions, joins, and performance-aware querying in Snowflake or a comparable cloud warehouse.
• Looker expertise: Hands-on experience with Looker: dashboard development, Explores, LookML, governed metrics, and enabling self-service analytics for business users.
• dbt proficiency: Ability to read, maintain, test, and document dbt models. Familiarity with sources, tests, macros, lineage, and dbt development workflows.
• Finance domain knowledge: Solid understanding of GL, journal entries, trial balance, financial statements, reconciliations, and period-close processes. SOX/ITAC experience is highly valued.
• Data modeling: Working knowledge of dimensional modeling — fact/dimension tables, star schemas, slowly changing dimensions.
• Statistical & predictive analysis: Applied experience with regression, classification, A/B testing, segmentation, and forecasting using SQL, Python, or similar tools.
• Communication: Ability to explain complex analysis clearly to both Finance leadership and technical peers. Strong written and verbal skills.
• Version control: Comfortable with Git/GitHub: branching, PRs, and collaborative development in a terminal environment.
• AI & LLM analytics: Experience with LLMs or AI-assisted analytics tools (Claude, Gemini, GPT, Looker Conversational Analytics). Exposure to Cortex Analyst, Cortex Search, or AISQL capabilities. Understanding of MCP integration patterns is a plus.

Nice to Have

• Telecom / subscription domain: Experience in telco, connectivity, or subscription environments (MVNOs, ISPs). Familiarity with churn, ARPU, MRR, billing, and provisioning metrics.
• Workflow orchestration: Familiarity with Airflow, Dagster, or Prefect for understanding scheduled pipelines and diagnosing failures.
• Certifications: Looker, Snowflake, dbt, or cloud platform certifications.

​​The base salary range for this position is $79,650 - $88,500. Range shown in $CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits

Want to know more about what we stand for? At Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

We use AI-enabled tools throughout our recruitment process to help us work more efficiently and consistently. These tools support our hiring teams by organizing and reviewing information, while final hiring decisions are always made by people.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here.

Tucows (NASDAQ:TCX, TSX:TC) is possibly the biggest Internet company you’ve never heard of. We started as a simple shareware site in 1993 and have since grown into a stable of businesses: Tucows Domains, Ting Internet and Wavelo.

We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet!

Today, over one thousand people work in over 20 countries to help us make the Internet better. If this sounds exciting to you, join the herd! 

About the opportunity

We are seeking an experienced and versatile Analytics Engineer to join our dynamic team. In this role, you will apply your advanced analytics expertise to extract actionable insights from raw data. The ideal candidate will have a strong background in data engineering, analytics, and machine learning, with the ability to drive data-driven decision-making across the organization. 

What You Will Be Doing

• Data Modeling & Pipelines: Design, develop, and maintain complex data models in our Snowflake data warehouse. Utilize dbt (Data Build Tool) to create efficient data pipelines and transformations for our data platform.
  
  
• Snowflake Intelligence Integration: Leverage Snowflake Intelligence features (e.g., Cortex Analyst, Cortex Agents, Cortex Search, AISQL) to implement conversational data queries and AI-driven insights directly within our data environment. Develop AI solutions that harness these capabilities to extract valuable business insights.
  
  
• Advanced SQL & Analysis: Design and build advanced SQL queries to retrieve and manipulate complex data sets. Dive deep into large datasets to uncover patterns, trends, and opportunities that inform strategic decision-making.
  
  
• Business Intelligence (BI): Develop, maintain, and optimize Looker dashboards and LookML to effectively communicate data insights. Leverage Looker’s conversational analytics and data agent features to enable stakeholders to interact with data using natural language queries.
  
  
• Cross-Functional Collaboration: Communicate effectively with stakeholders to understand business requirements and deliver data-driven solutions. Identify opportunities for implementing AI/ML/NLP technologies in collaboration with product, engineering, and business teams.
  
  
• Programming & Automation: Write efficient Python code for data analysis, data processing, and automation of recurring tasks. Skilled in shell scripting and command-line tools to support data workflows and system tasks. Ensure code is well-tested and integrated into automated workflows (e.g., via Airflow job scheduling).
  
  
• Visualization & Presentation: Create compelling visualizations and presentations to deliver analytical insights and actionable recommendations to senior management and cross-functional teams. Tailor communication of complex analyses to diverse audiences.
  
  
• Innovation & Best Practices: Stay up-to-date with industry trends, emerging tools, and best practices in data engineering and analytics (with a focus on dbt features, Snowflake’s latest offerings and BI innovations). Develop and implement innovative ideas to continuously improve our analytics stack and practices.

What You Bring

• Education: Bachelor’s degree in Computer Science, Statistics, or a related field; Master’s degree preferred.
  
  
• Experience: 2+ years of experience in data analytics or a related field, with significant exposure to AI and Machine Learning applications in analytics.
  
  
• SQL Expertise: Advanced SQL skills with experience in writing and optimizing complex queries on large-scale datasets.
  
  
• dbt Proficiency: Hands-on experience with dbt (Data Build Tool) and its features for building, testing, and documenting data models.
  
  
• Data Modeling: Expert-level knowledge of data modeling and data warehouse concepts (e.g., star schema, normalization, slowly changing dimensions).
  
  
• Snowflake & AI Capabilities: Experience with Snowflake’s Data Cloud platform and familiarity with its advanced AI capabilities (Snowflake Intelligence – Cortex Analyst, Cortex Agents, Cortex Search, AISQL, etc.) is highly preferred.
  
  
• Business Intelligence Tools: Strong skills in Looker data visualization and LookML (including familiarity with Looker’s conversational AI and data agent capabilities) or similar BI tools.
  
  
• AI Agents & Automation: Experience with AI agents or generative AI tools to optimize workflows and service delivery (such as creating chatbots or automated analytic assistants) is a plus.
  
  
• Real-Time & Streaming Data: Experience with real-time data processing and streaming technologies (e.g., Kafka, Kinesis, Spark Streaming) for handling continuous data flows.
  
  
• Programming: Proficient in Python for data analysis and manipulation (pandas, NumPy, etc.), with the ability to write clean, efficient code. Experienced with shell scripting and command-line tools for automating workflows and data processing tasks.
  
  
• ETL/Orchestration: Familiarity with ETL processes and workflow orchestration tools like Apache Airflow (or similar scheduling tools) for automating data pipelines alongside Docker for local development and testing.
  
  
• Cloud Platforms: Experience with cloud platforms and services (especially AWS or GCP) for data storage, compute, and deployment.
  
  
• Version Control & CI/CD: Solid understanding of code versioning (Git) and continuous integration/continuous deployment (CI/CD) processes in a data engineering context.
  
  
• Agile Methodology: Familiarity with agile development methodologies and ability to work in a fast-paced, iterative environment.
  
  
• Soft Skills: Excellent communication and presentation skills, with critical thinking and problem-solving abilities. Proven track record of working effectively on cross-functional teams and translating business needs into technical solutions.
  
  
• Data Governance & Ethics: Experience implementing data governance best practices, ensuring data quality and consistency. Knowledge of data ethics, bias mitigation strategies, and data privacy regulations (e.g., GDPR, CCPA) with a commitment to compliance.

Nice to Have

• Community & Open Source: Contributions to open-source projects or active participation in data community initiatives.
  
  
• AI/ML Skills: Experience with applying Artificial Intelligence/Machine Learning techniques in analytics (e.g., building predictive models for forecasting, churn prediction, fraud detection, etc.). Practical experience deploying models and using MLOps/DataOps practices for lifecycle management.
  
  
• Statistical Background: Solid foundation in statistics and probability, with ability to apply various modeling techniques and design A/B tests or experiments.
  
  
• Additional Programming: Knowledge of additional programming or query languages (e.g., R, Scala, Julia, Spark SQL) that can be applied in analytics workflows.
  
  
• Certifications: Certifications in relevant data technologies or cloud platforms (such as Snowflake, AWS, GCP, or Looker) demonstrating your expertise.

The ideal candidate will be a self-starter with a passion for data and analytics, capable of navigating complex datasets to uncover valuable insights. They should be comfortable working in a fast-paced environment, adapting to new technologies, and driving innovation in our data practices.They should be able to navigate complex data landscapes, uncover meaningful insights, and communicate these findings effectively to both technical and non-technical audiences. The ability to stay current with industry trends and continuously learn new technologies is essential in this role.

This role offers the opportunity to make a significant impact on our organization's data strategy and contribute to critical business decisions through advanced analytics. The successful candidate will play a key role in shaping our data culture and driving the adoption of cutting-edge data technologies and methodologies.

If you are a data enthusiast with a track record of delivering impactful analytics solutions and a desire to push the boundaries of what's possible with data, we want to hear from you!

​​The base salary range for this position is $81,990 to $91,100. Range shown in $CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits. 

Want to know more about what we stand for? At Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

We use AI-enabled tools throughout our recruitment process to help us work more efficiently and consistently. These tools support our hiring teams by organizing and reviewing information, while final hiring decisions are always made by people.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here.

Tucows (NASDAQ:TCX, TSX:TC) is possibly the biggest Internet company you’ve never heard of. We started as a simple shareware site in 1993 and have since grown into a stable of businesses: Tucows Domains, Ting Internet and Wavelo.

We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet!

Today, over one thousand people work in over 20 countries to help us make the Internet better. If this sounds exciting to you, join the herd! 

About the opportunity

We are seeking an experienced and versatile Analytics Engineer to join our dynamic team. In this role, you will apply your advanced analytics expertise to extract actionable insights from raw data. The ideal candidate will have a strong background in data engineering, analytics, and machine learning, with the ability to drive data-driven decision-making across the organization. 

What You Will Be Doing

• Data Modeling & Pipelines: Design, develop, and maintain complex data models in our Snowflake data warehouse. Utilize dbt (Data Build Tool) to create efficient data pipelines and transformations for our data platform.
  
  
• Snowflake Intelligence Integration: Leverage Snowflake Intelligence features (e.g., Cortex Analyst, Cortex Agents, Cortex Search, AISQL) to implement conversational data queries and AI-driven insights directly within our data environment. Develop AI solutions that harness these capabilities to extract valuable business insights.
  
  
• Advanced SQL & Analysis: Design and build advanced SQL queries to retrieve and manipulate complex data sets. Dive deep into large datasets to uncover patterns, trends, and opportunities that inform strategic decision-making.
  
  
• Business Intelligence (BI): Develop, maintain, and optimize Looker dashboards and LookML to effectively communicate data insights. Leverage Looker’s conversational analytics and data agent features to enable stakeholders to interact with data using natural language queries.
  
  
• Cross-Functional Collaboration: Communicate effectively with stakeholders to understand business requirements and deliver data-driven solutions. Identify opportunities for implementing AI/ML/NLP technologies in collaboration with product, engineering, and business teams.
  
  
• Programming & Automation: Write efficient Python code for data analysis, data processing, and automation of recurring tasks. Skilled in shell scripting and command-line tools to support data workflows and system tasks. Ensure code is well-tested and integrated into automated workflows (e.g., via Airflow job scheduling).
  
  
• Visualization & Presentation: Create compelling visualizations and presentations to deliver analytical insights and actionable recommendations to senior management and cross-functional teams. Tailor communication of complex analyses to diverse audiences.
  
  
• Innovation & Best Practices: Stay up-to-date with industry trends, emerging tools, and best practices in data engineering and analytics (with a focus on dbt features, Snowflake’s latest offerings and BI innovations). Develop and implement innovative ideas to continuously improve our analytics stack and practices.

What You Bring

• Education: Bachelor’s degree in Computer Science, Statistics, or a related field; Master’s degree preferred.
  
  
• Experience: 2+ years of experience in data analytics or a related field, with significant exposure to AI and Machine Learning applications in analytics.
  
  
• SQL Expertise: Advanced SQL skills with experience in writing and optimizing complex queries on large-scale datasets.
  
  
• dbt Proficiency: Hands-on experience with dbt (Data Build Tool) and its features for building, testing, and documenting data models.
  
  
• Data Modeling: Expert-level knowledge of data modeling and data warehouse concepts (e.g., star schema, normalization, slowly changing dimensions).
  
  
• Snowflake & AI Capabilities: Experience with Snowflake’s Data Cloud platform and familiarity with its advanced AI capabilities (Snowflake Intelligence – Cortex Analyst, Cortex Agents, Cortex Search, AISQL, etc.) is highly preferred.
  
  
• Business Intelligence Tools: Strong skills in Looker data visualization and LookML (including familiarity with Looker’s conversational AI and data agent capabilities) or similar BI tools.
  
  
• AI Agents & Automation: Experience with AI agents or generative AI tools to optimize workflows and service delivery (such as creating chatbots or automated analytic assistants) is a plus.
  
  
• Real-Time & Streaming Data: Experience with real-time data processing and streaming technologies (e.g., Kafka, Kinesis, Spark Streaming) for handling continuous data flows.
  
  
• Programming: Proficient in Python for data analysis and manipulation (pandas, NumPy, etc.), with the ability to write clean, efficient code. Experienced with shell scripting and command-line tools for automating workflows and data processing tasks.
  
  
• ETL/Orchestration: Familiarity with ETL processes and workflow orchestration tools like Apache Airflow (or similar scheduling tools) for automating data pipelines alongside Docker for local development and testing.
  
  
• Cloud Platforms: Experience with cloud platforms and services (especially AWS or GCP) for data storage, compute, and deployment.
  
  
• Version Control & CI/CD: Solid understanding of code versioning (Git) and continuous integration/continuous deployment (CI/CD) processes in a data engineering context.
  
  
• Agile Methodology: Familiarity with agile development methodologies and ability to work in a fast-paced, iterative environment.
  
  
• Soft Skills: Excellent communication and presentation skills, with critical thinking and problem-solving abilities. Proven track record of working effectively on cross-functional teams and translating business needs into technical solutions.
  
  
• Data Governance & Ethics: Experience implementing data governance best practices, ensuring data quality and consistency. Knowledge of data ethics, bias mitigation strategies, and data privacy regulations (e.g., GDPR, CCPA) with a commitment to compliance.

Nice to Have

• Community & Open Source: Contributions to open-source projects or active participation in data community initiatives.
  
  
• AI/ML Skills: Experience with applying Artificial Intelligence/Machine Learning techniques in analytics (e.g., building predictive models for forecasting, churn prediction, fraud detection, etc.). Practical experience deploying models and using MLOps/DataOps practices for lifecycle management.
  
  
• Statistical Background: Solid foundation in statistics and probability, with ability to apply various modeling techniques and design A/B tests or experiments.
  
  
• Additional Programming: Knowledge of additional programming or query languages (e.g., R, Scala, Julia, Spark SQL) that can be applied in analytics workflows.
  
  
• Certifications: Certifications in relevant data technologies or cloud platforms (such as Snowflake, AWS, GCP, or Looker) demonstrating your expertise.

The ideal candidate will be a self-starter with a passion for data and analytics, capable of navigating complex datasets to uncover valuable insights. They should be comfortable working in a fast-paced environment, adapting to new technologies, and driving innovation in our data practices.They should be able to navigate complex data landscapes, uncover meaningful insights, and communicate these findings effectively to both technical and non-technical audiences. The ability to stay current with industry trends and continuously learn new technologies is essential in this role.

This role offers the opportunity to make a significant impact on our organization's data strategy and contribute to critical business decisions through advanced analytics. The successful candidate will play a key role in shaping our data culture and driving the adoption of cutting-edge data technologies and methodologies.

If you are a data enthusiast with a track record of delivering impactful analytics solutions and a desire to push the boundaries of what's possible with data, we want to hear from you!

​​The base salary range for this position is $81,990 to $91,100. Range shown in $CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits. 

Want to know more about what we stand for? At Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

We use AI-enabled tools throughout our recruitment process to help us work more efficiently and consistently. These tools support our hiring teams by organizing and reviewing information, while final hiring decisions are always made by people.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here.

About the Team

Mercury* is building a complete financial stack for ambitious businesses. Since we launched in 2019, our customer base has grown to over 200,000 startups and small businesses from all around the world. To help Mercury activate new customer segments, grow our customer base and increase revenue, we are expanding our Revenue Strategy & Operations team, which leads business-critical, cross-functional efforts to efficiently scale our go-to-market organization. 

The Revenue Strategy & Operations team is responsible for platforms & infrastructure, dashboards & insights, enablement and project management to support the broader go-to-market organization. We sit at the intersection of revenue strategy, operations, and data—building the reporting, analysis, and tooling infrastructure that keeps a fast-moving revenue team informed and effective. As an RSO team member, you are a force multiplier, leading cross-functional initiatives that uplevel the capabilities, processes and results within the go-to-market organization.

*Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group, Column N.A., and Evolve Bank & Trust, Members FDIC.

As part of the journey, we would expect you to:

• Work cross-functionally with go-to-market teams including Sales, Relationship Management, Partnerships and Marketing to identify and solve sticky challenges
• Own high-impact initiatives for months, quarters or possibly years, defining problem statements, developing and driving alignment around solutions, overseeing implementation and measuring impact
• Leverage data to identify the biggest opportunities and drive decision-making—including building dashboards and reports that give GTM stakeholders clear visibility into performance, pipeline, and customer behavior
• Translate ambiguous business questions into well-structured analyses, partnering with data and analytics teams to surface insights that stakeholders can act on
• Get creative, building solutions that leverage AI and other emerging technologies to accelerate workflows, automate manual processes, and unlock new capabilities—you’re excited about what’s possible and eager to experiment
• Work across Mercury’s data environment (Snowflake, Salesforce, Omni, and other platforms) to connect disparate data sources and surface a complete picture of customer and prospect behavior
• Build relationships across a wide range of stakeholders and deliver impact through collaboration and consensus

There are lots of paths that could lead you to be successful in a role like this; we think the strongest candidates will have some of this experience:

• Prior experience leading strategic projects or programs, such as in consulting, Business Operations, Sales or Revenue Operations, Program Manager, or other applicable roles
• Demonstrate a strong sense of ownership and can approach new problems with curiosity and first-principles thinking
• Exceptional stakeholder management skills, with the ability to effectively communicate, build consensus and influence across teams and senior-level stakeholders
• Strong data fluency—you’re comfortable pulling your own data and navigating across sources to connect the dots yourself rather than waiting for someone else to do it
• Experience building and maintaining dashboards and reports in tools like Omni, Looker, Tableau, or Salesforce, with a knack for distilling complex datasets into simple, actionable visualizations
• A genuine enthusiasm for AI and emerging technology—you actively seek out ways to integrate AI into your work, have experimented with tools like LLMs, copilots, or automation platforms, and see AI as a force multiplier for the type of strategic work this role demands
• Demonstrated ability to bring structure and simplicity to a variety of complex and ambiguous business problems
• Ability to work independently to identify issues and proactively propose, build and implement the solutions to address them from the ground up
• Comfort working in an ambiguous, fast-paced environment, with a strong understanding of when to escalate urgent issues and to whom
• Excellent oral and written communication skills, and time management and prioritization skills

The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees in the New York City, Los Angeles, Seattle, or San Francisco Bay Area: $131,500 - $148,000
• US employees outside of the New York City, Los Angeles, Seattle, or San Francisco Bay Area: $118,400 - $133,200
• Canadian employees (any location): 124,300 - 139,000 CAD 

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

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. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024.

[Please see the independent bias audit report covering our use of Covey for more information.] 

#LI-SK1

Job Title: SEO Account Manager

Key Responsibilities

• Own day-to-day SEO account management for priority clients: serve as the primary point of contact, build trusted relationships, and ensure consistent, high-quality delivery.

• Lead client communication and governance: run weekly/monthly status calls, document decisions and next steps, and proactively manage expectations, risks, and timelines.
• Translate business goals into SEO roadmaps: align priorities to measurable KPIs and ensure stakeholders understand what success looks like and how we’ll get there.
• Manage workflow and adoption: coordinate with client content/dev/brand teams to drive implementation of recommendations, remove blockers, and keep work on track.
• Conduct and oversee keyword and market research: intent segmentation, topic mapping, opportunity sizing, and content strategy recommendations tailored to each client’s goals.
• Coordinate technical SEO audits and recommendations for complex sites: crawl/indexing, site architecture, rendering, structured data, CWV, migrations, facets/pagination, and international/regional considerations (as relevant).
• Develop content SEO programs with clear client-ready outputs: briefs and briefing standards, internal linking recommendations, refresh/prune plans, and quality/E-E-A-T guidance.
• Support AEO visibility planning: recommend optimizations to improve presence in AI-driven discovery (entity coverage, structured formats/schema, clarity, and citation readiness).

• Own performance measurement and reporting: build and maintain Looker Studio dashboards; analyze results using Adobe Analytics and Google Search Console; communicate insights and actions, not just metrics.
• Maintain account documentation and operational rigor: meeting notes, project plans, KPI tracking, implementation status, and change logs.
• Standardize and leverage toolsets: Ahrefs, SEMrush, Screaming Frog, Google Search Console (plus supporting tools as needed).
• Stay current on algorithm/SERP changes and industry trends; proactively inform clients and adjust priorities accordingly.
• Identify growth opportunities within accounts: surface new initiatives, expansion areas, and test-and-learn ideas to improve performance and strengthen partnerships.

Core Skills & Requirements

• Deep expertise in technical SEO and strong ability to communicate requirements to dev teams.
• Advanced keyword research and strategic planning skills.
• Strong content SEO understanding and ability to set content standards and frameworks.
• Familiarity and hands-on proficiency with Ahrefs, SEMrush, Screaming Frog, GSC.
• Strong analytics and reporting skills with Adobe Analytics and Looker Studio.
• Strong understanding of AEO / AI optimization and how SEO intersects with AI-driven discovery.
• Web development experience is a big plus (CMS platforms, HTML/CSS/JS basics, deployment workflows).
• Strong stakeholder management, presentation skills, and ability to lead multi-workstream SEO programs.

Life at WPP Media & Benefits: 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide. While we appreciate all applications received, only those candidates selected for an interview will be contacted.  

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

Who you are:

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

What you'll do:

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

The opportunity:

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

How you'll make an impact:

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

What you'll bring to the role:

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

Overview

Instacart's Customer Success team partners with retailers to bring Caper's in-store AI solutions—such as smart carts and computer vision–powered experiences—to life at scale. As a Senior Customer Success Manager, you will drive measurable outcomes for our retail partners, from pilot to nationwide rollout, ensuring stores, shoppers, and operators see tangible value every day.

In this role, you will serve as a trusted advisor to retail leaders while collaborating cross-functionally with product, engineering, and sales. You will help shape how Instacart and Caper deliver operational excellence in stores, champion the voice of the customer, and contribute to strategic growth. This role is remote across the U.S. and Canada and includes periodic travel for store visits, pilots, and partner meetings.

About the Job

• Own a portfolio of enterprise retail accounts using Caper's in-store AI solutions; build strong relationships with retailer stakeholders to drive adoption, expansion, and renewals.
• Serve as a trusted advisor to retail managers, directors, and cross-functional counterparts, providing strategic guidance on store operations, change management, and value realization.
• Support end-to-end deployments—from pilot design through regional or nationwide scale—partnering with product, engineering, sales, and field operations; contribute to success metrics, milestones, and risk mitigation plans.
• Maintain and refine playbooks, health scoring, and QBR cadences; forecast account health and surface voice-of-customer insights that inform product roadmaps and prioritization.
• Lead resolution of cross-functional escalations spanning hardware, software, and store operations; contribute to post-mortems and implement preventative improvements.
• Quantify ROI (e.g., labor savings, throughput, basket size) and present outcomes to retailer stakeholders; support multi-year commercial strategies and expansion conversations.
• Travel up to 30% for onsite store visits, pilot support, and partner meetings as needed.

About You

Minimum Qualifications

• 6+ years of experience in Customer Success, Account Management, or Consulting for B2B technology, with 3+ years supporting enterprise retail clients.
• Proven track record managing executive relationships and renewals for strategic accounts with significant annual contract value.
• Hands-on experience delivering or supporting in-store retail technology (e.g., POS, computer vision, smart carts, self-checkout, IoT) across multiple locations.
• Demonstrated success contributing to complex rollouts and programs, including pilot support, change management, and store operations readiness.
• Proficiency with CRM and success tooling (e.g., Salesforce, Gainsight) to manage health, forecasting, and QBRs.
• Bachelor's degree in Business, Engineering, Operations, or related field, or equivalent practical experience.
• Willingness to travel up to 30% within North America.

Preferred Qualifications

• Experience with AI/ML or computer vision products in a retail environment.
• Background supporting hardware–software deployments and coordinating with field services or store operations teams.
• Analytical fluency with tools like Looker or Tableau; SQL proficiency to build/interpret dashboards and quantify ROI.
• Experience supporting programs scaling from pilot to 50+ store deployments and contributing to enterprise change management.
• Commercial awareness across renewals, SOWs, and expansion conversations; comfort presenting to Director-level stakeholders.
• Track record contributing to product and engineering roadmap conversations via structured voice-of-customer feedback.

#LI-Remote

Overview

Instacart's Customer Success team partners with retailers to bring Caper's in-store AI solutions—such as smart carts and computer vision–powered experiences—to life at scale. As a Senior Customer Success Manager, you will drive measurable outcomes for our retail partners, from pilot to nationwide rollout, ensuring stores, shoppers, and operators see tangible value every day.

In this role, you will serve as a trusted advisor to retail leaders while collaborating cross-functionally with product, engineering, and sales. You will help shape how Instacart and Caper deliver operational excellence in stores, champion the voice of the customer, and contribute to strategic growth. This role is remote across the U.S. and Canada and includes periodic travel for store visits, pilots, and partner meetings.

About the Job

• Own a portfolio of enterprise retail accounts using Caper's in-store AI solutions; build strong relationships with retailer stakeholders to drive adoption, expansion, and renewals.
• Serve as a trusted advisor to retail managers, directors, and cross-functional counterparts, providing strategic guidance on store operations, change management, and value realization.
• Support end-to-end deployments—from pilot design through regional or nationwide scale—partnering with product, engineering, sales, and field operations; contribute to success metrics, milestones, and risk mitigation plans.
• Maintain and refine playbooks, health scoring, and QBR cadences; forecast account health and surface voice-of-customer insights that inform product roadmaps and prioritization.
• Lead resolution of cross-functional escalations spanning hardware, software, and store operations; contribute to post-mortems and implement preventative improvements.
• Quantify ROI (e.g., labor savings, throughput, basket size) and present outcomes to retailer stakeholders; support multi-year commercial strategies and expansion conversations.
• Travel up to 30% for onsite store visits, pilot support, and partner meetings as needed.

About You

Minimum Qualifications

• 6+ years of experience in Customer Success, Account Management, or Consulting for B2B technology, with 3+ years supporting enterprise retail clients.
• Proven track record managing executive relationships and renewals for strategic accounts with significant annual contract value.
• Hands-on experience delivering or supporting in-store retail technology (e.g., POS, computer vision, smart carts, self-checkout, IoT) across multiple locations.
• Demonstrated success contributing to complex rollouts and programs, including pilot support, change management, and store operations readiness.
• Proficiency with CRM and success tooling (e.g., Salesforce, Gainsight) to manage health, forecasting, and QBRs.
• Bachelor's degree in Business, Engineering, Operations, or related field, or equivalent practical experience.
• Willingness to travel up to 30% within North America.

Preferred Qualifications

• Experience with AI/ML or computer vision products in a retail environment.
• Background supporting hardware–software deployments and coordinating with field services or store operations teams.
• Analytical fluency with tools like Looker or Tableau; SQL proficiency to build/interpret dashboards and quantify ROI.
• Experience supporting programs scaling from pilot to 50+ store deployments and contributing to enterprise change management.
• Commercial awareness across renewals, SOWs, and expansion conversations; comfort presenting to Director-level stakeholders.
• Track record contributing to product and engineering roadmap conversations via structured voice-of-customer feedback.

#LI-Remote

Overview

The Enterprise AI Pod is a forward-deployed, field-first unit within Instacart's Enterprise Solutions team — purpose-built to take the Instacart Intelligence Platform to market with B2B retail and CPG partners. As an AI Field Consultant, you bring the deep vertical expertise in grocery retail and CPG that makes the pod credible in the field — earning trust at every level of a partner organization, from analyst to executive, and translating what you hear into AI use cases R&D can build and partners will actually adopt. This is a small, senior, cross-functional pod operating at the intersection of discovery, co-creation, and change management — early, defining the playbook as we go, and looking for people who are energized by that.

About the Job 

• Be the domain credibility of the pod. You know grocery retail and CPG — merchandising, supply chain, store ops, trade, e-commerce — well enough to walk into any room at any level and earn it immediately. As the pod scales, you'll deepen into a vertical and become Instacart's sharpest expert in that space.
• Get to the real problem. Embed with partner teams to identify where agentic AI will actually move the business — not just what's technically possible, but what will change how operators work day to day. Translate those problems into AI-solvable use cases the pod can build against.
• Lead discovery and requirements. Run structured workshops at partner sites, surface and prioritize the use case map, and turn field learnings into clear inputs for the pod and R&D. You're the bridge between what partners need and what gets built.
• Show, don't just tell. Lead hands-on demos and platform walkthroughs tailored to the partner's specific workflows — making abstract AI capability concrete and compelling in the room. The ability to demonstrate the art of the possible is as important as the ability to articulate it.
• Own adoption. Drive the change management that makes deployments stick — new operating cadences, workflow redesigns, user training. Success is measured by whether team behavior changes, not whether software ships.
• This is a field-first role. Travel is a core part of the job — expect to be on-site at partner locations regularly, potentially 50%+ of the time. If you do your best work embedded with a team rather than behind a desk, you'll thrive here.

About You

Minimum Qualifications

• 10+ years of layered experience — vertical industry expertise inside grocery retail or CPG, B2B consulting experience translating domain knowledge into business solutions, and ideally time at a technology or AI company where you've seen how platforms are built and sold.
• Deep domain fluency across at least one grocery vertical — merchandising, supply chain, store ops, ecommerce, trade marketing, or CPG — sufficient to earn the trust of a category manager, VP of supply chain, or CPG trade lead from the first conversation.
• Demonstrated ability to run consultative discovery with senior enterprise stakeholders and translate findings into clear, structured requirements.
• Experience leading organizational change management — training, workflow redesign, and embedding new operating cadences with business teams.
• Exceptional communication and executive presence — comfortable presenting to C-suite and operational audiences alike, with comfort operating in ambiguous, greenfield environments.
• Proficiency in BI and analytics tools (Tableau, Looker, Power BI) and workshop facilitation tools (Miro, Lucidspark) — you need to know what you're displacing or augmenting and how to map what replaces it.
• Bachelor's degree in Business, Engineering, Operations, or related field, or equivalent practical experience.
• Willingness to travel ~50% within North America.

Preferred Qualifications

• Familiarity with AI and ML concepts — including LLMs and agentic systems — sufficient to connect platform capabilities with partner workflow needs. Partners will reference these, and you need to be conversant enough to contextualize where Instacart's platform fits.
• Exposure to agentic AI systems, RAG pipelines, or LLM-based product development.
• Experience working within systems partners actually run: Snowflake (dominant in grocery/CPG analytics), ERP platforms (SAP, Oracle), TPM/TPO tools, and POS systems.
• Track record contributing to product and engineering roadmap conversations via structured voice-of-customer feedback.
• Strength using data and storytelling to influence decisions and secure investment in operational improvements.
• Prior work in a forward-deployed, embedded, or startup environment.

#LI-Remote

About the Finance team 

The Finance team ensures Affirm remains financially sound and strategically positioned for growth. Our team manages financial planning, accounting, pricing, vendor management, tax, investor relations, and corporate development. We deliver timely insights, accurate reporting, and careful analysis to support decision-making. From day-to-day financial operations to major investments, we enable sustainable, informed growth by maintaining strong fiscal discipline.

About the team

We're looking for a passionate and analytically minded professional to join the Strategic Finance team to support the growth of Affirm’s topline revenue streams with large business-to-business (“B2B”) merchant partners. Strategic Finance is responsible for driving company strategy, empowering executive decision making with real time forecasts and analytics, and guiding the company towards achieving its goals. This high impact, highly visible role sits on the Revenue Finance group, a scrappy, tight-knit team with outsized cross-functional impact and ownership. The ideal candidate will not only have superb technical skills but also strong interpersonal skills and the ability to influence and present to all levels of the organization.

What you'll do

• Partner with cross functional leaders (i.e. Product, Growth Analytics, Credit, Revenue and, Merchant Pricing) to drive business outcomes through strategic and analytic support

• Build and maintain financial models to forecast, reconcile, and describe variances for our gamut of metrics

• Collaborate with our ML modeling team to marry your modeling with aggregated ML forecasts

• Establish top-line performance metrics and targets, analyze and report realized financial performance to Executives and other company leaders, and drive accountability for results

• Design and deliver scalable automated user and financial dashboards and analytics for cross departmental and executive consumption

What we look for

• Passion and drive to disrupt the lending and financial industry for the better

• Strong sense of ownership, intention, intellectual curiosity, and an ability to think creatively and critically and thrive in a fast-paced, dynamic, and often ambiguous work environment

• 5+ years experience in fast-paced analytical roles (strategic finance, investment banking, consulting, data science, analytics, etc.)

• Exceptional analytical skills and the ability to synthesize complex financial information into clear, concise reports

• High attention to detail but an equally important ability to see the big picture and evaluate analyses with strategic business context

• Strong interpersonal and communication skills, with the capability to navigate cross-functional collaborations effectively and be front and center with company executives

• Curiosity to build things (processes, models, etc.) with/for/around AI

• Building contextual models / files a plus

• Experience with merchant payments and/or providing analytical support to B2B client relationship and sales teams a plus 

• Excellent working proficiency in excel (you should be prepared for a financial model case study), and comfort with SQL, Looker and/or other data visualization tools; Python knowledge a plus

About the Finance team 

The Finance team ensures Affirm remains financially sound and strategically positioned for growth. Our team manages financial planning, accounting, pricing, vendor management, tax, investor relations, and corporate development. We deliver timely insights, accurate reporting, and careful analysis to support decision-making. From day-to-day financial operations to major investments, we enable sustainable, informed growth by maintaining strong fiscal discipline.

About the team

We're looking for a passionate and analytically minded professional to join the Strategic Finance team to support the growth of Affirm’s topline revenue streams with large business-to-business (“B2B”) merchant partners. Strategic Finance is responsible for driving company strategy, empowering executive decision making with real time forecasts and analytics, and guiding the company towards achieving its goals. This high impact, highly visible role sits on the Revenue Finance group, a scrappy, tight-knit team with outsized cross-functional impact and ownership. The ideal candidate will not only have superb technical skills but also strong interpersonal skills and the ability to influence and present to all levels of the organization.

What you'll do

• Partner with cross functional leaders (i.e. Product, Growth Analytics, Credit, Revenue and, Merchant Pricing) to drive business outcomes through strategic and analytic support

• Build and maintain financial models to forecast, reconcile, and describe variances for our gamut of metrics

• Collaborate with our ML modeling team to marry your modeling with aggregated ML forecasts

• Establish top-line performance metrics and targets, analyze and report realized financial performance to Executives and other company leaders, and drive accountability for results

• Design and deliver scalable automated user and financial dashboards and analytics for cross departmental and executive consumption

What we look for

• Passion and drive to disrupt the lending and financial industry for the better

• Strong sense of ownership, intention, intellectual curiosity, and an ability to think creatively and critically and thrive in a fast-paced, dynamic, and often ambiguous work environment

• 5+ years experience in fast-paced analytical roles (strategic finance, investment banking, consulting, data science, analytics, etc.)

• Exceptional analytical skills and the ability to synthesize complex financial information into clear, concise reports

• High attention to detail but an equally important ability to see the big picture and evaluate analyses with strategic business context

• Strong interpersonal and communication skills, with the capability to navigate cross-functional collaborations effectively and be front and center with company executives

• Curiosity to build things (processes, models, etc.) with/for/around AI

• Building contextual models / files a plus

• Experience with merchant payments and/or providing analytical support to B2B client relationship and sales teams a plus 

• Excellent working proficiency in excel (you should be prepared for a financial model case study), and comfort with SQL, Looker and/or other data visualization tools; Python knowledge a plus

Overview

Instacart’s Strategic Finance team partners across the business to drive clarity, decisions, and results. Within our Retailer and Consumer pillar, we serve as the “CFO in the room” on high-impact initiatives and deliver the forecasts and insights that shape how we grow. We’re looking for a Strategic Finance Manager to own monthly revenue forecasting for our retailer and consumer businesses—two of the largest areas of the P&L representing billions of dollars annually—and to surface the trends and opportunities that keep us moving forward.

In this role, you’ll join a close-knit team of 10 and report directly to the Director of Strategic Finance. You’ll collaborate daily with Business Development, Product, Data Science, and Accounting, and regularly engage with senior leadership. If you thrive in fast-paced environments, enjoy rolling up your sleeves to build driver-based models, and are excited to influence decisions at board and C-suite levels, this is an opportunity to make an outsized impact.

About the Job

You will lead forecasting, reporting, and strategic analysis that guide Instacart’s most critical revenue decisions.

• Own monthly retailer and consumer revenue forecasting end-to-end, building and maintaining driver-based models that tie to business performance and operational levers.
• Run monthly and quarterly variance analysis against forecast and plan; translate complex trends into clear, actionable insights for senior leadership.
• Develop executive-ready materials for the board and C-suite, including narrative memos, dashboards, and scenario analyses that inform strategic priorities.
• Partner cross-functionally with Business Development, Product, Data Science, and Accounting to align on assumptions, improve data quality, and operationalize insights.
• Lead proactive deep dives on revenue and unit economics to identify growth opportunities, risks, and experiments that improve accuracy and business outcomes.

About You

You combine rigorous financial modeling with crisp communication and executive presence. You’re energized by ambiguity, move quickly without sacrificing quality, and collaborate effectively across functions to get to the right answer.

Minimum Qualifications

• 6+ years of experience in investment banking, strategic finance/FP&A, or management consulting supporting high-growth technology or marketplace businesses.
• Bachelor’s degree in Finance, Economics, Accounting, or a related field.
• Advanced proficiency in Excel/Google Sheets, including building driver-based financial models, scenario/sensitivity analyses, and revenue forecasting.
• Proven experience owning monthly forecasting and variance analysis for complex P&L components, with a track record of improving forecast accuracy.
• Experience preparing and presenting executive-ready materials to VP/C-suite stakeholders, with the ability to distill complex data into clear business narratives.

Preferred Qualifications

• Experience in a two-sided marketplace or consumer internet business (e.g., on-demand, e-commerce, advertising, or subscription models).
• Proficiency with SQL for self-serve data analysis; familiarity with BI tools (e.g., Looker, Tableau) a plus.
• Experience partnering closely with Product and Data Science to define metrics, align on assumptions, and evaluate experiments.
• Background creating materials for board meetings and quarterly business reviews in a fast-paced, high-growth environment.
• Knowledge of GAAP revenue concepts relevant to marketplaces and consumer businesses.

#LI-Remote

Overview

Instacart’s Strategic Finance team partners across the business to drive clarity, decisions, and results. Within our Retailer and Consumer pillar, we serve as the “CFO in the room” on high-impact initiatives and deliver the forecasts and insights that shape how we grow. We’re looking for a Strategic Finance Manager to own monthly revenue forecasting for our retailer and consumer businesses—two of the largest areas of the P&L representing billions of dollars annually—and to surface the trends and opportunities that keep us moving forward.

In this role, you’ll join a close-knit team of 10 and report directly to the Director of Strategic Finance. You’ll collaborate daily with Business Development, Product, Data Science, and Accounting, and regularly engage with senior leadership. If you thrive in fast-paced environments, enjoy rolling up your sleeves to build driver-based models, and are excited to influence decisions at board and C-suite levels, this is an opportunity to make an outsized impact.

About the Job

You will lead forecasting, reporting, and strategic analysis that guide Instacart’s most critical revenue decisions.

• Own monthly retailer and consumer revenue forecasting end-to-end, building and maintaining driver-based models that tie to business performance and operational levers.
• Run monthly and quarterly variance analysis against forecast and plan; translate complex trends into clear, actionable insights for senior leadership.
• Develop executive-ready materials for the board and C-suite, including narrative memos, dashboards, and scenario analyses that inform strategic priorities.
• Partner cross-functionally with Business Development, Product, Data Science, and Accounting to align on assumptions, improve data quality, and operationalize insights.
• Lead proactive deep dives on revenue and unit economics to identify growth opportunities, risks, and experiments that improve accuracy and business outcomes.

About You

You combine rigorous financial modeling with crisp communication and executive presence. You’re energized by ambiguity, move quickly without sacrificing quality, and collaborate effectively across functions to get to the right answer.

Minimum Qualifications

• 6+ years of experience in investment banking, strategic finance/FP&A, or management consulting supporting high-growth technology or marketplace businesses.
• Bachelor’s degree in Finance, Economics, Accounting, or a related field.
• Advanced proficiency in Excel/Google Sheets, including building driver-based financial models, scenario/sensitivity analyses, and revenue forecasting.
• Proven experience owning monthly forecasting and variance analysis for complex P&L components, with a track record of improving forecast accuracy.
• Experience preparing and presenting executive-ready materials to VP/C-suite stakeholders, with the ability to distill complex data into clear business narratives.

Preferred Qualifications

• Experience in a two-sided marketplace or consumer internet business (e.g., on-demand, e-commerce, advertising, or subscription models).
• Proficiency with SQL for self-serve data analysis; familiarity with BI tools (e.g., Looker, Tableau) a plus.
• Experience partnering closely with Product and Data Science to define metrics, align on assumptions, and evaluate experiments.
• Background creating materials for board meetings and quarterly business reviews in a fast-paced, high-growth environment.
• Knowledge of GAAP revenue concepts relevant to marketplaces and consumer businesses.

#LI-Remote

Overview

We’re looking for a Strategic Finance Analyst, Product Finance to join Instacart’s Strategic Finance team supporting Instacart Ads and Enterprise SaaS business units. You’ll help shape the next phase of growth at Instacart ads by partnering on our most critical initiatives, building business cases and P&L models, and translating insights into decisions that move the business forward.

In this role, you’ll partner closely with Ads Product, Carrot Ads, and our enterprise SaaS team to connect strategy to financial outcomes, prioritize initiatives, and deliver crisp, executive-ready narratives. If you enjoy rolling up your sleeves, collaborating across functions, and using data to influence strategy in a fast-paced environment, this role offers meaningful scope and visibility.

Instacart Ads helps brands of all sizes put their products in front of millions of high-intent customers. With products, tools, insights, and automation, our ads platform drives measurable impact from discovery to purchase—making your analyses central to how we grow the pie for advertisers, retailers, and customers alike.

About the Job

• Own critical portions of Instacart Ads revenue initiatives, including planning, forecasting, deal approvals, and resource investments.
• Partner with Ads Product, Carrot Ads, and our enterprise SaaS team to translate strategy into measurable financial outcomes and recommend actions that drive revenue.
• Design and implement financial processes and dashboards that leverage internal data and KPIs to monitor performance, surface insights, and automate recurring reporting.
• Build monthly and quarterly performance materials for leadership, including forecast updates, variance analyses, and materials for board and investor reviews.
• Conduct ad hoc financial modeling and deep dives on initiatives such as SaaS performance, pricing and packaging, cohort performance, and attribution; self-serve data with SQL when needed.

About You

Minimum Qualifications

• Bachelor’s degree in Engineering, Computer Science, Mathematics, Economics, Finance, Business, or a related field; or equivalent practical experience.
• 2+ years of experience in strategic finance at a high growth technology company, investment banking, or consulting
• Advanced proficiency in Excel/Google Sheets, including building driver-based financial models, cohort analyses, and scenario/sensitivity modeling.
• Experience building revenue forecasts and translating KPIs into financial outcomes for an operating business.
• Proven ability to create executive-ready materials and present insights to cross-functional and senior audiences.

Preferred Qualifications

• Intermediate SQL (e.g., joins, window functions) and experience working with large datasets; familiarity with Looker or Tableau.
• Experience in digital advertising, ad tech, e-commerce media, or SaaS monetization models.
• Experience preparing materials for board and investor audiences.
• Ability to support West Coast business hours in a distributed, remote environment.
• Self-starter who thrives in fast-changing environments; collaborative, low-ego approach—and an appreciation for good food puns.

#LI-Remote

Overview

We’re looking for a Strategic Finance Analyst, Product Finance to join Instacart’s Strategic Finance team supporting Instacart Ads and Enterprise SaaS business units. You’ll help shape the next phase of growth at Instacart ads by partnering on our most critical initiatives, building business cases and P&L models, and translating insights into decisions that move the business forward.

In this role, you’ll partner closely with Ads Product, Carrot Ads, and our enterprise SaaS team to connect strategy to financial outcomes, prioritize initiatives, and deliver crisp, executive-ready narratives. If you enjoy rolling up your sleeves, collaborating across functions, and using data to influence strategy in a fast-paced environment, this role offers meaningful scope and visibility.

Instacart Ads helps brands of all sizes put their products in front of millions of high-intent customers. With products, tools, insights, and automation, our ads platform drives measurable impact from discovery to purchase—making your analyses central to how we grow the pie for advertisers, retailers, and customers alike.

About the Job

• Own critical portions of Instacart Ads revenue initiatives, including planning, forecasting, deal approvals, and resource investments.
• Partner with Ads Product, Carrot Ads, and our enterprise SaaS team to translate strategy into measurable financial outcomes and recommend actions that drive revenue.
• Design and implement financial processes and dashboards that leverage internal data and KPIs to monitor performance, surface insights, and automate recurring reporting.
• Build monthly and quarterly performance materials for leadership, including forecast updates, variance analyses, and materials for board and investor reviews.
• Conduct ad hoc financial modeling and deep dives on initiatives such as SaaS performance, pricing and packaging, cohort performance, and attribution; self-serve data with SQL when needed.

About You

Minimum Qualifications

• Bachelor’s degree in Engineering, Computer Science, Mathematics, Economics, Finance, Business, or a related field; or equivalent practical experience.
• 2+ years of experience in strategic finance at a high growth technology company, investment banking, or consulting
• Advanced proficiency in Excel/Google Sheets, including building driver-based financial models, cohort analyses, and scenario/sensitivity modeling.
• Experience building revenue forecasts and translating KPIs into financial outcomes for an operating business.
• Proven ability to create executive-ready materials and present insights to cross-functional and senior audiences.

Preferred Qualifications

• Intermediate SQL (e.g., joins, window functions) and experience working with large datasets; familiarity with Looker or Tableau.
• Experience in digital advertising, ad tech, e-commerce media, or SaaS monetization models.
• Experience preparing materials for board and investor audiences.
• Ability to support West Coast business hours in a distributed, remote environment.
• Self-starter who thrives in fast-changing environments; collaborative, low-ego approach—and an appreciation for good food puns.

#LI-Remote

In 1978, Gary Thuerk sent the world’s first email marketing campaign to about 400 recipients, kicking off an entire industry and earning himself the title 'Father of Spam'—though he himself preferred to be known as the 'Father of Email Marketing.' While we're aiming for something a bit more charming than unsolicited messages to unsuspecting inboxes, we are looking for a Lifecycle Marketing Manager to carry on Gary’s legacy—with less controversy and way more creativity! At Mercury, we’re on a mission to turn email marketing into an art form, one irresistible click at a time.

As a Lifecycle Marketer and part of the larger Growth Marketing team, you will be responsible for strategizing and optimizing the customer lifecycle of Mercury users, with a focus on product adoption, cross-sell, and upsell. You’ll work closely with product marketing, data science, and engineering to maximize the number of users who use Mercury features and products and retain on the platform.

*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.

You will:

• Execute and optimize customer lifecycle programs that drive product adoption, cross-sell, and upsell
• Partner with growth, product, and data teams to identify friction points in the user journey and build messaging strategies that address them
• Own and iterate on customer lifecycle journeys — writing briefs, managing QA, setting logic, and analyzing performance to improve conversion
• Use data to inform messaging strategy and audience segmentation, working closely with data science to define and track KPIs tied to product adoption and retention
• Collaborate with copywriters, designers, and product marketers to build high-quality, user-focused communications that guide users toward value
• Bring a test-and-learn mindset to the role — propose experiments, launch A/B tests, and iterate based on results

You should have:

• 4+ years of experience in lifecycle or email marketing
• Hands-on proficiency with email as a channel, and in enterprise-level marketing automation tools (bonus points for experience with Customer.io)
• Experience using tools like Omni, Hex, Looker, or similar to analyze marketing experiments
• AI fluency with demonstrated examples of optimizing workflows and campaigns with custom skills and/or agentic flows
• B2B or B2C SaaS experience is a strong plus

The total rewards package at Mercury includes base salary, equity (stock options), and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $128,600 - $144,600
• US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $115,700 - $130,100
• Canadian employees (any location): CA$121,500 - $136,700

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

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. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024.

[Please see the independent bias audit report covering our use of Covey for more information.] 

#LI-SE1

Tucows (NASDAQ:TCX, TSX:TC) is possibly the biggest Internet company you’ve never heard of. We started as a simple shareware site in 1993 and have since grown into a stable of businesses: Tucows Domains, Ting Internet and Wavelo.

We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet!

Today, over one thousand people work in over 20 countries to help us make the Internet better. If this sounds exciting to you, join the herd!

About the Opportunity

As the Manager of Financial Data, Planning & Analytics, you will be an integral part of the Tucows Corporate Finance team. This role is responsible for leading financial planning and analysis (FP&A) across all business segments while transforming and optimizing financial systems and reporting infrastructure.

You will oversee the annual budget and quarterly forecast processes, ensuring best practices across finance teams. As a key strategic partner, you will provide executive leadership with financial consultation, reporting, insights, and analysis. A strong emphasis is placed on efficiency, automation, and AI-driven integration to modernize workflows and enhance decision-making.

This is a remote position for applicants in Canada. Some travel to our headquarters in Toronto will be required. 

Key Responsibilities

Budgeting & Forecasting

• Lead and own the annual budgeting and planning cycle, ensuring coordination across all business unit finance teams.

• Maintain and improve forecasting processes, including quarterly forecasting and continuous planning methodologies.

• Develop long-term financial forecasts and models to support strategic decision-making.

Financial Systems & Process Transformation

• Drive modernization of financial systems and reporting infrastructure to enhance efficiency, automation, and AI-driven analytics.

• Oversee administration, optimization, and integration of financial systems (ERP, BI tools, planning software).

• Partner with IT and finance teams to implement AI-driven automation and machine learning for forecasting and decision-making.

• Assess and optimize financial processes and technology, ensuring scalability and automation opportunities.

Reporting & Business Insights

• Develop and maintain management reporting, dashboards, and KPIs to track performance against budget, forecast, and prior periods.

• Prepare executive-level reports and dashboards, leveraging AI-powered insights and automated tools.

• Support Board and Audit Committee presentations, ensuring data accuracy and KPI tracking.

• Contribute financial insights to quarterly and annual management discussions and regulatory filings (e.g., 10K and 10Q).

Analysis, Business Partnership & Support

• Act as a strategic finance business partner to corporate leadership, helping shape financial strategy and operational efficiency.

• Lead monthly variance analysis, collaborating with executives to identify and resolve budget discrepancies.

• Provide decision-support analysis for business initiatives and procurement decisions.

• Research broader economic trends and incorporate findings into financial models and forecasts.

Knowledge, Skills & Abilities

• Experience in technology, SaaS, telecommunications, or other high-growth industries.

• Hands-on experience with AI-powered financial automation and finance system implementations.

• Strong understanding of data pipelines, API integrations, and cloud-based financial platforms.

• Subject matter expertise in FP&A best practices with a focus on continuous process improvement.

• Proven leadership with ability to balance business requirements and people management.

• Service-oriented mindset with strong stakeholder management skills.

• Excellent communication skills (oral, written, and visual) for presenting insights at all levels.

• Independent problem solver with strong research and information-gathering abilities.

• Advanced financial modeling and superior analytical skills with high accuracy and attention to detail.

Qualifications

• Bachelor’s degree in Finance, Accounting, or related field (CPA or CFA preferred).

• 6+ years of experience in financial planning, analysis, and financial systems transformation.

• 2+ years of management experience overseeing FP&A processes and teams.

• Strong proficiency in financial modeling, data analysis, and financial automation tools.

• Experience with ERP systems (e.g., Sage Intacct, NetSuite) and BI tools (e.g., Looker, Tableau, Power BI).

• Proven ability to automate processes, integrate AI-driven tools, and optimize financial reporting structures.

• Strong leadership and collaboration skills across finance and operational teams.

• Excellent communication skills with ability to present findings to executive leadership.

The base salary range for this position is $104,000 to $120,000. Range shown in $CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits

Want to know more about what we stand for? At Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

We use AI-enabled tools throughout our recruitment process to help us work more efficiently and consistently. These tools support our hiring teams by organizing and reviewing information, while final hiring decisions are always made by people.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here.

#LI-JL1

#LI-Remote

Tucows (NASDAQ:TCX, TSX:TC) is possibly the biggest Internet company you’ve never heard of. We started as a simple shareware site in 1993 and have since grown into a stable of businesses: Tucows Domains, Ting Internet and Wavelo.

We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet!

Today, over one thousand people work in over 20 countries to help us make the Internet better. If this sounds exciting to you, join the herd!

About the Opportunity

As the Manager of Financial Data, Planning & Analytics, you will be an integral part of the Tucows Corporate Finance team. This role is responsible for leading financial planning and analysis (FP&A) across all business segments while transforming and optimizing financial systems and reporting infrastructure.

You will oversee the annual budget and quarterly forecast processes, ensuring best practices across finance teams. As a key strategic partner, you will provide executive leadership with financial consultation, reporting, insights, and analysis. A strong emphasis is placed on efficiency, automation, and AI-driven integration to modernize workflows and enhance decision-making.

This is a remote position for applicants in Canada. Some travel to our headquarters in Toronto will be required. 

Key Responsibilities

Budgeting & Forecasting

• Lead and own the annual budgeting and planning cycle, ensuring coordination across all business unit finance teams.

• Maintain and improve forecasting processes, including quarterly forecasting and continuous planning methodologies.

• Develop long-term financial forecasts and models to support strategic decision-making.

Financial Systems & Process Transformation

• Drive modernization of financial systems and reporting infrastructure to enhance efficiency, automation, and AI-driven analytics.

• Oversee administration, optimization, and integration of financial systems (ERP, BI tools, planning software).

• Partner with IT and finance teams to implement AI-driven automation and machine learning for forecasting and decision-making.

• Assess and optimize financial processes and technology, ensuring scalability and automation opportunities.

Reporting & Business Insights

• Develop and maintain management reporting, dashboards, and KPIs to track performance against budget, forecast, and prior periods.

• Prepare executive-level reports and dashboards, leveraging AI-powered insights and automated tools.

• Support Board and Audit Committee presentations, ensuring data accuracy and KPI tracking.

• Contribute financial insights to quarterly and annual management discussions and regulatory filings (e.g., 10K and 10Q).

Analysis, Business Partnership & Support

• Act as a strategic finance business partner to corporate leadership, helping shape financial strategy and operational efficiency.

• Lead monthly variance analysis, collaborating with executives to identify and resolve budget discrepancies.

• Provide decision-support analysis for business initiatives and procurement decisions.

• Research broader economic trends and incorporate findings into financial models and forecasts.

Knowledge, Skills & Abilities

• Experience in technology, SaaS, telecommunications, or other high-growth industries.

• Hands-on experience with AI-powered financial automation and finance system implementations.

• Strong understanding of data pipelines, API integrations, and cloud-based financial platforms.

• Subject matter expertise in FP&A best practices with a focus on continuous process improvement.

• Proven leadership with ability to balance business requirements and people management.

• Service-oriented mindset with strong stakeholder management skills.

• Excellent communication skills (oral, written, and visual) for presenting insights at all levels.

• Independent problem solver with strong research and information-gathering abilities.

• Advanced financial modeling and superior analytical skills with high accuracy and attention to detail.

Qualifications

• Bachelor’s degree in Finance, Accounting, or related field (CPA or CFA preferred).

• 6+ years of experience in financial planning, analysis, and financial systems transformation.

• 2+ years of management experience overseeing FP&A processes and teams.

• Strong proficiency in financial modeling, data analysis, and financial automation tools.

• Experience with ERP systems (e.g., Sage Intacct, NetSuite) and BI tools (e.g., Looker, Tableau, Power BI).

• Proven ability to automate processes, integrate AI-driven tools, and optimize financial reporting structures.

• Strong leadership and collaboration skills across finance and operational teams.

• Excellent communication skills with ability to present findings to executive leadership.

The base salary range for this position is $104,000 to $120,000. Range shown in $CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits

Want to know more about what we stand for? At Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

We use AI-enabled tools throughout our recruitment process to help us work more efficiently and consistently. These tools support our hiring teams by organizing and reviewing information, while final hiring decisions are always made by people.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here.

#LI-JL1

#LI-Remote

Ilir Sela started Slice with the belief that local pizzerias deserve all of the advantages of major franchises without compromising their independence. Starting with his family’s pizzerias, we now empower over tens of thousands of restaurants with the technology, services, and collective power that owners need to better serve their digitally minded customers and build lasting businesses. We’re growing and adding more talent to help fulfill this valuable mission. That’s where you come in.

The Role:

We’re looking for a highly analytical, execution-focused Manager, Sales Strategy & Operations to help scale and optimize our sales organization. This is a senior, high-autonomy role for an operator who can take ambiguous, company-level problems and drive them from hypothesis to outcome with minimal oversight. You’ll partner directly with our CRO, VP of Analytics, and senior leaders across Product, Finance, and Marketing to own end-to-end strategic initiatives, architect the operating cadences that scale our GTM motion, and drive revenue outcomes. This is an ideal role for someone who loves turning data into action, building scalable processes, and influencing outcomes.

What You'll Do:

• Lead annual and quarterly planning with sales leadership, including territory design, capacity modeling, and quota setting
• Diagnose sales performance trends and identify opportunities to improve conversion, productivity, and revenue growth
• Build and own dashboards, forecasts, and reports to track pipeline health, attainment, and key KPIs
• Lead pricing, packaging, and go-to-market analyses
• Own and optimize sales processes across the funnel (lead → opportunity → close)
• Own CRM hygiene and data integrity; ensure accurate reporting and consistent usage
• Drive cross-functional efforts to implement and optimize tools, workflows, and automations
• Own deal execution across approvals, discount analysis, and deal desk activities
• Act as a strategic partner to Sales, Marketing, Finance, and Customer Success
• Translate leadership goals into operational plans and measurable outcomes
• Lead sales enablement initiatives, including documentation, playbooks, and training materials
• Identify inefficiencies and drive process improvements
• Lead strategic analyses and special projects in support of leadership priorities

The Winning Recipe:

• 4–8 years of experience in sales operations, strategy, consulting, analytics, or a related role
• Strong analytical skills with the ability to interpret data and communicate insights clearly
• Experience working with CRM systems (e.g., Salesforce, HubSpot)
• Advanced Excel/Google Sheets skills; comfort with dashboards and reporting
• Strong organizational skills and attention to detail
• Ability to manage multiple projects in a fast-paced environment
• Experience using AI tools
• Familiarity with BI tools (Looker, Tableau, Power BI)
• SQL or data querying experience
• Excellent written and verbal communication skills, with the ability to present insights and recommendations clearly to stakeholders

The Extras:

Working at Slice comes with a comprehensive set of benefits, but here are some of the unexpected highlights:

• Flexible PTO
• Market leading medical, vision and dental insurance
• 401K matching up to 4%
• Wellness reimbursement/stipend
• Weekly pizza stipend (Yes, that’s a thing!)

Salary Range: $110-130k

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

The Hiring Process:

You’ll find a summary of the expected interview process below. We’ll stick to this as closely as possible, but please note this may be subject to change. This entire process is expected to take 2-3 weeks to complete and you’d be expected to start on a specific date.

• Application
• 30 minute introductory Recruiter meeting
• 30 minute Hiring Manager interview
• 30 minute Technical interview
• 30 minute final Cultural Interview

Pizza brings people together. Slice is no different. We’re an Equal Opportunity Employer and embrace a diversity of backgrounds, cultures, and perspectives. We do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. We are also proud members of the Diversity Mark NI initiative as a Bronze Member.

Privacy Notice Statement of Acknowledgment

When you apply for a job on this site, the personal data contained in your application will be collected by Slice. Slice is keeping your data safe and secure. Once we have received your personal data, we put in place reasonable and appropriate measures and controls to prevent any accidental or unlawful destruction, loss, alteration, or unauthorised access. If selected, we will process your personal data for hiring /employment processes, as well as our legal obligations.

If you are not selected for the job position and you have given consent on the question below (by selecting "Give consent") we will store and process your personal data and submitted documents (CV) to consider eligibility for employment up to 365 days (one year). You have the right to withdraw your previously given consent for storing your personal data and CV in the Slice database considering eligibility for employment for a year. You have the right to withdraw your consent at any time.

For additional information and / or exercise of your rights to the protection of personal data, you can contact our Data Protection Officer, e-mail: privacy@slicelife.com