About Roku

Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetize large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available around the world through direct retail sales and licensing arrangements with TV brands and pay TV operators.

Roku Channel has quickly become a leading streaming app for free, live, and subscription based premium content. Whether you are in your living room, on your mobile, or at your desktop, Roku Channel has an always-changing selection of Hollywood hits, classics, live news, hit TV shows and family programs to keep you entertained.  Roku made streaming possible and Roku Channel is changing the way we watch it.

The Role

Roku is seeking an International Content Partnerships Manager to join the ad-supported VOD/ linear partner growth team focused on The Roku Channel.  This team is responsible for the overall success of key partners on Roku Channel. Success is measured by delivering on and exceeding expectations with respect to user engagement (as defined by reach and streaming hours), financial results (revenue, gross profit) and other key health and growth metrics.

The role requires a diverse range of direct-to-consumer video experience across partner management, content programming, product, and marketing. The right individual has proven experience building relationships with content partners, developing data driven growth strategies, then rolling up their sleeves to execute and achieve these goals. To be successful, the candidate will require the ability to work across and organize a diverse range of internal departments, such as editorial, content acquisition, data analytics and marketing.

For Canada Only - The estimated annual salary for this position is between $100,800 - $119,000 annually.

Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location.

This posting is to fill a vacancy on our team, unless otherwise noted.

This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

Roku uses AI tools in its recruiting processes.

In This Role You Will

Account Management

• Act as the day-to-day partner relationship manager to grow international partners within Roku Channel
• Leverage deep experience and knowledge of content strategy and acquisitions within the Canadian and/or UK markets (experience in both is highly preferred) to drive regional growth.
• Drive communication, education, data management across managed partners
• Support the onboarding of new content partners
• Coordinate the submission, selection and launch of new partner content, communicating with partners and working internally with Programming, Acquisition and Operational teams 

Partner Growth Strategy

• Create and present performance evaluations for partners, including comprehensive quarterly business reviews
• Develop internal partner playbooks that offer executive staff a concise overview of partnerships along with actionable strategic plans
• Build deep partner expertise, developing strong internal and external workflows to provide best-in-class service to partners
• Leverage data, market research and insights to evaluate new content partnership opportunities to Roku Channel
• Contribute to other content partnership areas as business needs arise 

Cross-Functional Collaboration

• Collaborate with content acquisition, content operations, editorial, and marketing on deal lifecycle and execution through partner roll out
• Assist in the development and implementation of marketing and editorial strategies that maximize user engagement
• Work with product and analytics teams to drive automation, enhanced reporting and tools to improve the efficiency of strategic plans
• Aggregate feedback from internal and external stakeholders into comprehensive and actionable trackers to drive process improvement
• Perform other tasks, projects, and responsibilities as assigned by leadership  

Experience / Qualifications

• 5-7 years of relevant experience in a top media, entertainment, technology company, management consulting firm, or investment bank, in a partnerships, strategy, program planning, or analytical role.
• Background in content strategy and/or acquisitions within the Canadian and/or UK markets (experience in both is highly preferred)
• Experience delivering results in consultative, partnerships, and/or business development environments
• Strong analytical skills including creating / managing financial and operational KPIs (preferably with experience in a highly-demanding environment where complex analysis is performed)
• Experience conducting quantitative (including modeling) & qualitative analysis to drive results leveraging a strong understanding of video streaming business models (MVPD, TVE, SVOD, AVOD, TVOD)
• Ability to cultivate and build strong relationships with content partners and industry counterparts
• Bachelor's degree in business, finance, accounting, or economics, or equivalent; MBA preferred but not required
• Familiarity with Airtable, Confluence, Salesforce and Looker tooling a plus

#LI-CU1

We’re hiring a Senior Manager to lead Security Governance and the Security Third-Party Risk Management (TPRM) function. This role owns program strategy, operational maturity, and stakeholder alignment for security governance, vendor risk, and third-party integration risk. The manager will drive policy and control frameworks, remediate audit findings, deliver measurable program KPIs, and grow a high-performing team that executes vendor diligence, monitoring, and governance at scale.

Our Security Governance and TPRM programs must move from tactical firefighting to predictable, measurable operations that scale with the business. This leader will set the security risk posture, tighten governance and fourth-party oversight, improve tooling and automation adoption, and ensure timely, actionable escalations so senior leadership can make the right business decisions.

What You'll Do

Program strategy & governance

• Own Security Governance: maintain and evolve security policies, standards, and control frameworks (e.g., NIST CSF, ISO 27001), including mapping to controls and compliance requirements (SOC2, PCI, applicable regulations).
• Lead program maturity planning, roadmaps, and cross-functional governance forums (e.g., security steering committee, risk council).
• Define and enforce security risk appetite and decision criteria for third-party relationships and integrations.

Third-party risk management

• Lead the Security TPRM function across vendor lifecycle: intake/onboarding, due diligence (IRQ/DDQ/SME reviews), contracting handoffs, ongoing monitoring, periodic reviews, and offboarding.
• Ensure robust fourth-party oversight, including subprocessors, and manage remediation/QA cycles driven by Internal Audit and regulators.
• Oversee high-risk vendor decisions and escalations; establish clear RACI for partnership contracts and security acceptance criteria.

Operational excellence & tooling

• Own program KPIs, dashboards, and reporting (Jira STPRM Ops, AuditBoard, Sigma/BI, MetricStream). Drive improvements in throughput, turnaround, backlog age, and remediation velocity.
• Partner with Automation/TPRM Ops to operationalize threat-modeling outputs, integration inventories, pre-integration gates, and CI/CD checks; prioritize automations that reduce manual work and surface strategic escalations.
• Implement and maintain QA processes (quarterly QA), runbooks, SOPs for ticket ownership, and evidence standards.

People & stakeholder leadership

• Build, coach, and scale the Governance and TPRM teams: hiring, performance management, career development, and team morale.
• Act as the primary security contact for Legal, Procurement, Privacy, Product, and Engineering on vendor risk and governance matters.
• Represent Security in executive forums, audit meetings, and regulatory engagements; own remediation commitments and timelines.

Audit, compliance & risk reporting

• Serve as the security liaison for Internal Audit and external assessments; ensure timely remediation of findings and demonstrable progress.
• Produce regular program health reporting for senior leadership and Board-level stakeholders.

Success metrics (examples)

• Vendors reviewed per month and % critical vendors reviewed on schedule
• Average review turnaround time and backlog age distribution
• % tickets with clear owner and SLA met
• Time to remediate Internal Audit findings and completion rate
• Implementation count of automated checks/runbooks and pre-integration gates
• Team engagement / retention and time-to-productivity for new hires

What We Look For

• 7+ years in information security, risk management, or GRC roles, with a minimum of 3 years managing teams (or equivalent leadership experience).
• Demonstrated ownership of a TPRM program or security governance program in a regulated or high-growth technology environment (fintech preferred).
• Strong knowledge of security frameworks (NIST, ISO), compliance standards (SOC2, PCI), and vendor risk processes (IRQ/DDQ/SME assessments).
• Hands-on familiarity with TPRM/GRC tooling and observability: AuditBoard (or equivalent), Jira, BI tools (Sigma/Tableau/Looker), and experience with integrations/APIs.
• Excellent stakeholder management across legal, procurement, engineering, product, and executive leadership.
• Proven experience translating audit findings into operational remediation plans and measurable outcomes.
• Strong communication skills — able to present risk to technical and non-technical audiences and to influence decisions.
• Certifications such as CISSP, CISM, CRISC, or similar.
• Practical experience with threat-modeling approaches and third-party integration security (API, SSO/OAuth/SAML, TLS).
• Experience scaling automation for GRC/TPRM programs and integrating security checks into CI/CD pipelines.
• Prior experience in fintech or highly regulated industries.

This posting is for an existing vacancy.

Pay Grade - Q
Equity Grade - 6

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)

CAN base pay range per year: $198,000 - $248,000


#LI-Remote

About the Role

Apollo is seeking a Manager, GTM Analytics & Intelligence to join our Revenue Operations leadership team. This is a senior leadership role sitting at the intersection of GTM strategy, data infrastructure, and analytical execution. You will own the end-to-end analytical capability supporting Apollo's Sales and Post-Sales organizations — leading a team of analysts and serving as the authoritative voice on GTM data strategy, forecasting, metrics governance, and data-driven insight.

You will work closely with BI/Analytics, Sales Ops, CS Ops, Finance, and GTM leadership to define how we measure performance, model our ARR waterfall, standardize our metrics taxonomy, and operationalize the cadences that keep our go-to-market engine running with precision. This is a high- impact role for a senior analytics leader who combines deep technical rigor with the strategic instincts of a revenue operator.

What You'll Do

Team Leadership & Development

• Hire, build, and lead a team of GTM analysts dedicated to supporting Sales and Post-Sales functions, fostering a culture of analytical excellence, ownership, and continuous improvement.
• Set team priorities, manage cross-functional stakeholder relationships, and ensure analytical capacity is aligned to the highest-leverage GTM needs.
• Coach and develop analysts to grow as both technical practitioners and strategic business partners.

GTM Data Strategy & Governance

• Own and maintain Apollo's GTM data strategy — defining how GTM data is structured, governed, and trusted across the organization.
• Partner with the BI/Analytics team to inform reporting model design, establish data governance standards, and drive metrics standardization across Sales, Pipeline Generation, and Customer Success.
• Define, document, and operationalize core GTM metrics including ARR accounting logic, logo definitions, funnel metrics, retention, and expansion — ensuring consistency and confidence across all reporting surfaces.
• Ensure Salesforce and connected data sources are well-understood, accurately modeled, and effectively leveraged across all reporting and analytical workflows.

Analytical Forecasting

• Own and continuously improve Apollo's analytical forecasting capability across all GTM functions and ARR levers, including New Business Sales, Pipeline Generation, Pipeline Coverage, and Customer Retention.
• Build and maintain advanced forecasting models that integrate signals across the full ARR waterfall, enabling leadership to plan with confidence and act with foresight.
• Partner with Finance and GTM leadership on planning cycles, quota setting, and scenario modeling to support resource allocation and strategic decisions.

GTM Data Management & Operating Cadences

• Own the data management processes that underpin Apollo's GTM Operating Cadences — including QBRs, pipeline reviews, board reporting, and executive dashboards.
• Ensure timely, accurate, and actionable data is available to support recurring business reviews and ad hoc leadership requests.
• Define and maintain data pipelines and reporting infrastructure in partnership with BI/Analytics and RevOps.

Data Change Management

• Own and facilitate data change projects that impact GTM reporting, forecasting, or planning functions — including CRM migrations, metric redefinitions, system integrations, and tooling transitions.
• Lead cross-functional alignment on data changes, managing communications, timelines, and validation to ensure continuity of reporting and stakeholder trust.

GTM Strategy & Analytical Insights

• Serve as a strategic analytical partner to GTM leadership, delivering insights and exploratory analyses that surface opportunities, flag risks, and inform GTM strategy.
• Translate complex, ambiguous business questions into structured analyses and clear executive narratives.
• Proactively identify trends across sales performance, pipeline health, customer retention, and competitive dynamics that should influence GTM prioritization.

Qualifications and Experience

• 8+ years of experience in Revenue Operations, GTM Analytics, Strategy & Operations, or a closely related field, with at least 2–3 years in a people management capacity.
• Demonstrated ability to lead and develop high-performing analytical teams in a fast-paced, high-growth SaaS environment.
• Expert-level SQL skills, with the ability to build complex, performant queries and data models.
• Deep experience with Salesforce data and architecture.
• Proven track record of owning GTM data strategy — from metrics standardization and governance through reporting model design and stakeholder enablement.
• Strong experience building and maintaining revenue forecasting models across multiple ARR levers.
• Advanced proficiency in data visualization and storytelling using tools such as Tableau, Looker, or similar.
• Strong understanding of B2B SaaS GTM motions, including acquisition funnels, pipeline economics, 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, including executive audiences.
• Experience working in fast-paced, product-led, high-growth SaaS companies.
• Exceptional skills in cross-functional collaboration, data analysis, and operational problem solving.

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.

CRM Data & Analytics Lead
Toronto, hybrid

DEPT® is a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, our 4,000+ specialists deliver growth invention services across Brand & Media, Experience, Commerce, CRM, and Technology & Data. We’re 50|50 tech and marketing, partner-led, and first to move. Clients include Google, Lufthansa, Meta, eBay, and OpenAI. We have been certified B Corp and Climate Neutral since 2021.

This is a 12 month fixed term employee contract.

This posting reflects an existing vacancy.

JOB PURPOSE

This role is part of our Global Studios team. We create emotive yet conversion-focused ideas, products and campaigns at scale and speed. Our specialty is hyper-personalised, digital communications that change perceptions, shape new behaviours, and shift market share for our clients.

As a CRM Data & Analytics Lead, you will manage, analyze, and interpret customer data within a CRM system (Bluecore) to drive marketing, sales, and retention strategies. You will create reports and dashboards, ensure data integrity, segment audiences for campaigns, and provide actionable insights to improve customer experience and business growth.

WHAT YOU’LL DO:

• Data Analysis & Reporting: Create and maintain dashboards to monitor KPIs like customer engagement, sales pipelines, churn rates, and campaign performance.
• Data Integrity & Management: Clear, de-duplicate, and maintain CRM data accuracy, ensuring high-quality data for targeting.
• Customer Segmentation: Segment audiences for marketing campaigns to improve targeting and ROI.
• System Optimization: Configure CRM workflows and train users to maximize system adoption and efficiency.
• Strategic Insights: Analyze consumer behavior to identify upsell/cross-sell opportunities and improve retention

WHAT YOU BRING:

• Strong knowledge of SQL, Excel, and CRM platforms (e.g., Bluecore, Salesforce, HubSpot). 
• Experience with BI tools like Tableau, Power BI, or Looker to present data clearly.
• Ability to interpret complex data, apply statistical methods, and translate findings into business actions.
• Strong communication skills to work with marketing, sales, and IT teams

The anticipated annual salary range for this position is $90,000 - $115,000 CAD. Salary is based on relevant experience, expertise, and organizational impact.

WE OFFER

• A flexible, hybrid working policy.
• An excellent salary based on experience and equal pay policies.
• Mental health support, and company sick pay scheme.
• 15 days paid holiday annually (plus Public Holidays).
• Refreshments are provided in the office all week.
• Enhanced family friendly policies to support new parents.
• Social and Cultural Events, plenty of opportunities to connect with colleagues through organised activities and celebrations.
• Inspirational Talks, bringing the outside in with regular guest speakers and events.
• Learning and Development, supporting your growth with continuous opportunities to learn and advance.
• Buddy Programme: You will be paired with a ‘Buddy’ to help you through your first weeks’ at DEPT®.
• A reputation for doing good. DEPT® has been a Certified B Corp® since 2021 and named ‘Agency of the Year’ at both The Lovies and The Webby Awards.
• Awesome clients. Whether big or small, local or global — at DEPT® you’ll get the opportunity to work with clients of all sizes and across all industries. And we celebrate all of our successes together!
• The opportunity for possibility. We want to enable you to do what you do best and help you develop your skills further with training, development and certifications.

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

AI Disclosure: At DEPT®, we use AI-assisted technology (Metaview) to capture notes and summarize interview conversations, so our interviewers can stay fully focused. Using the AI is optional, just let us know if you’d prefer it not be used.

DIVERSITY, EQUITY & INCLUSION 

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

About Us

At Prenuvo, we are on a mission to flip the paradigm from reactive “sick-care” to proactive health care. Our award-winning whole body scan is fast (under 1 hour), safe (MRI has no ionizing radiation), and non-invasive (no contrast). Our unique integrated stack of optimized hardware, software, and increasingly AI, coupled with the patient-centric experience across our domestic and global clinics, have allowed us to lead the change against “we caught it too late again".

We are looking for an Annotation Program Manager to join our AI Research team. This is a program management role at its core and the operational backbone of our AI model delivery pipeline. The right person owns the systems, cadence, and accountability structures that keep annotation work moving at scale, working cross-functionally across AI Research, product, and clinical functions to coordinate priorities and drive accountability with stakeholders who have competing demands.

This is a senior-scope individual contributor role with direct accountability to research leadership and visibility across the full AI Annotations program portfolio. Annotation domain knowledge is useful context, but Program Management depth is the job. This person provides the operational architecture and the discipline to keep every team moving against it. Jira architecture and cross-tool program visibility are core to this role from day one.

This position is hybrid, preferably based in Vancouver for regular on-site collaboration with our expert teams.

Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people’s lives!

What you'll do

• Own the annotation program as a portfolio: maintain a unified view of all active workstreams, dependencies, timelines, and risks across teams and vendors at all times.
• Own Jira architecture end-to-end: hierarchy design, custom fields, workflow automation, sprint configuration, and cross-board reporting wired to Google Sheets and Looker to create visibility on SLA frameworks, QC loops, and vendor accountability. 
• Manage external annotation vendor relationships, setting expectations clearly, tracking against commitments, and escalating on the record when delivery is at risk.
• Partner with radiologists and research leads to translate clinical requirements into structured, executable annotation guidelines, then hold contributors to those standards consistently.
• Anticipate capacity gaps, dependency conflicts, and delivery risks in advance, surfacing them with a proposed path forward.
• Support regulatory and clinical validation efforts by ensuring annotation workflows produce audit-traceable, documentation-ready outputs.

What you'll bring

Must-have:

• 7+ years in program or operations management, with ownership of a multi-team, multi-dependency program from strategy through execution, including capacity planning across internal teams and external vendors. Comfortable operating with light oversight.
• Deep Jira administration experience: built it from scratch for a multi-team program, including hierarchy design, issue schemas, workflow automation, and dashboard reporting connected to external tools.
• Strong Google Sheets fluency, including Apps Script automation, has written scripts to solve real operational problems.
• Experience building or maintaining dashboards (Looker, Tableau, or equivalent) to make program status visible to non-technical stakeholders.
• A track record of managing external vendors or cross-functional partners against hard timelines and quality standards, with documented escalation when commitments slip.
• Clean escalation skills, and the ability to raise problems up the chain transparently, without going behind anyone's back, and without losing the relationship.
• Fluency with AI tools, i.e., using LLMs to draft documentation, automate repetitive tasks, and write scripts, and a default orientation toward finding AI-assisted shortcuts before doing things manually.

Nice-to-have:

• Health tech, MedTech, or clinical research background, familiarity with regulated environments and expert stakeholders, including quality management systems or audit-traceable workflow requirements.
• Experience managing annotation programs or data labeling operations at scale.
• Familiarity with annotation platforms such as RedBrick AI, Labelbox, or Encord.

Our Values 

First: we are Pioneers

• Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit and determination to maintain momentum. This journey is as challenging as it is rewarding.

Second: we are Platform-Builders

• We’re always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of what’s ahead – in a mindset of ownership and duty to our mission.

Above all: we are Patients

• We could all be the next person who walks through our very doors, seeking clarity or peace of mind. We are proud of our impact on our patients’ lives, and we won’t stop till everyone can benefit from our work.

What We Offer

• An avenue to make a positive impact on people's lives and their health
• We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member 
• Growth opportunities are at the heart of our people journey, we’re doing big things with bright minds - there is no single path to success, it can be shaped along the way
• Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize 
• Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it
• We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family
• Prenuvo offers eligible Canadian employees access to both RRSP and TFSA retirement savings plans, with immediate, optional enrollment and the flexibility to invest and save for the future on your own terms. While Prenuvo provides access to these plans, the company does not currently offer matching contributions.
• The base salary for this role ranges from $110,000-$130,000 CAD, depending upon experience and geographic location

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

As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal, provincial, and state rules.

Please be advised that official communication from our recruitment team will only come from our authorized domain [prenuvo.com]. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to jobs@prenuvo.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. 

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

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

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

About Clutch

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

About the role

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

What you’ll do

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

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

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

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

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

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

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

What we’re looking for

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

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

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

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

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

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

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

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

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

Why you’ll love it at Clutch

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

• Competitive compensation and equity incentives

• Generous time off program

• Health & dental benefits

Employment Type

Existing, Permanent Full-Time

Compensation & Benefits

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

• Equity incentives

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

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

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

About Clutch:

We’re on a mission to reinvent the way people buy, sell, and own cars. Are you game?

Clutch is Canada’s largest online used car retailer, delivering a seamless, hassle-free car-buying experience to drivers everywhere. Customers can browse hundreds of cars from the comfort of their home, get the right one delivered to their door, and enjoy peace of mind with our 10-Day Money-Back Guarantee… and that’s just the beginning.

Named two years in a row to the Globe & Mail’s list of the Top Growing Companies in Canada and also awarded spots on Deloitte’s Technology Fast 50™ and Fast 500™ lists, we’re looking to add curious, hard-working, and driven individuals to our growing team.

Headquartered in Toronto, Clutch was founded in 2017 and currently services Ontario, New Brunswick, Nova Scotia, and Prince Edward Island. Clutch is backed by a number of world-class investors, including D1 Capital, Canaan, Real Ventures, BrandProject, and BMO. To learn more, visit clutch.ca.

About The Role

We’re looking for a Senior Manager, Pricing Strategy to lead pricing performance across Clutch’s vehicle acquisition and retail channels.

This role sits within our Vehicle Markets Group and owns the strategy behind how we price vehicles across acquisition, retail, wholesale, and export channels. You’ll develop the frameworks and insights that guide pricing decisions across 10,000+ weekly offers and a dataset of 250,000+ customer offers with live market valuations.

You’ll translate market data, customer behavior, and inventory dynamics into pricing strategies that optimize conversion, margin, inventory turn, and capital efficiency. Working closely with Data, Operations, Finance, and leadership, you’ll test pricing strategies, refine pricing models, and drive decisions across the vehicle lifecycle — from acquisition through final disposition.

This is a high-impact role with direct influence on Clutch’s marketplace economics and company performance.

What You’ll Do

• Lead the development and evolution of Clutch’s pricing strategy across vehicle acquisition, retail, wholesale, and export channels
• Analyze offer pricing, conversion, and margin performance to identify opportunities to improve volume, margin, and capital efficiency
• Evaluate bid/ask dynamics and customer response to pricing across key vehicle segments
• Design and run A/B pricing experiments to test and improve pricing strategies
• Refine pricing curves using current and historical market data to optimize conversion and profitability
• Analyze sold vs. unsold inventory to understand spread, days-to-sell, and inventory velocity
• Support inventory mix and disposition decisions by evaluating expected turn, GPU, and risk exposure
• Translate data and market insights into clear pricing recommendations for leadership
• Partner with Data Engineering, Operations, and Finance to build scalable reporting and ensure pricing insights drive operational decisions

What We’re Looking For

• 7-10+ years of experience in pricing, analytics, strategy, BizOps, consulting, or a related role in a data-driven or high-growth environment
• Strong analytical foundation with experience using SQL, BI tools (Looker, Tableau), and advanced spreadsheet modeling
• Proven track record of translating data into strategic recommendations that drive measurable business impact
• Strong business judgment across pricing strategy, marketplace dynamics, unit economics, and inventory management
• Experience influencing cross-functional stakeholders and senior leadership
• Ability to operate at both the strategic and operational level in a fast-paced environment
• Excellent communication skills with the ability to simplify complex analyses into clear recommendations
• Willing to work from our downtown Toronto headquarters (60 Adelaide Street East)

Salary: 130,000$ - 180,000$

Why you’ll love it at Clutch: 

• Be part of a disruptive, tech-driven company that is transforming the automotive industry, one of the largest and fastest growing B2C startups in Canada.
• A unique opportunity to join a well funded business with product market fit, but lots of space to drive an impact and learn.
• Freedom to innovate and ownership of your role - work on meaningful and challenging projects that have a direct impact on the business.
• Opportunities for growth and development in a rapidly scaling company.
• Competitive compensation and equity incentives!
• Health & Dental benefits. 

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

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