gtm engineer

InvoiceCloud

<div><div>About InvoiceCloud:

InvoiceCloud is a fast-growing fintech leader recognized with 20 major awards in 2025, including USA TODAY and Boston Globe Top Workplaces, multiple SaaS Awards wins for Best Solution for Finance and FinTech, and national customer service honors from Stevie and the Business Intelligence Group. Judges also highlighted our mission to reduce digital exclusion and restore simplicity and dignity to how people pay for essential services, as well as our leadership in AI maturity and responsible innovation. It's an award-winning, purpose-driven environment where top talent thrives. To learn more, visit InvoiceCloud.com.</div>
Role Overview:

InvoiceCloud is a fast-growing fintech leader recognized with 20 major awards in 2025, including USA TODAY and Boston Globe Top Workplaces, multiple SaaS Awards wins for Best Solution for Finance and FinTech, and national customer service honors from Stevie and the Business Intelligence Group. Judges also highlighted our mission to reduce digital exclusion and restore simplicity and dignity to how people pay for essential services, as well as our leadership in AI maturity and responsible innovation. It's an award-winning, purpose-driven environment where top talent thrives. To learn more, visit InvoiceCloud.com.

Job Details: 
We are seeking a highly skilled and results-oriented GTM Engineer to support the Revenue Operations team. This role will play a key part in advancing InvoiceCloud's mission to drive digital transformation for clients and enhance customer engagement.

The ideal candidate operates as a proactive, trusted partner&mdash;capable of managing complex responsibilities, collaborating across teams, and maintaining the high standards of professionalism and innovation that define InvoiceCloud's culture.

Success Profile:

This role is anchored in our company's core competencies. These competencies reflect the mindsets and behaviors that define success in this role. Below is how each competency translates into meaningful impact and outcomes for this position.

 Results-Driven
<ul>
<li>Write SQL in Snowflake to build views, scoring models, and ad hoc analyses that support GTM decision-making 
<ul><li>Maintain and improve pipeline and buying signal dashboards in Tableau</li><li>Collaborate with SDRs, AEs, and Marketing to understand workflow pain points and translate them into engineering solutions</li><li>Surface data quality issues and automation gaps proactively before they affect pipeline</li></ul></li>
</ul>
 Drives Efficiency
<ul>
<li>Build tables, waterfalls, and enrichment workflows in Clay that power prospecting and lead scoring 
<ul><li>Design and maintain data pipelines from Clay into Salesforce, ensuring clean field mapping, deduplication, and record integrity</li><li>Connect and orchestrate data across the GTM stack: Clay, SFDC, Marketo, 6sense, and Snowflake</li><li>Develop and deploy automations that reduce manual work across Sales, Marketing, and RevOps</li></ul></li>
</ul>
 Takes Ownership
<ul>
<li>Own Clay as the primary GTM engineering platform and manage its ongoing optimization and scalability 
<ul><li>Build AI-powered workflows using Claude, ChatGPT, and other LLMs to automate research, personalization, and signal processing at scale</li><li>Use tools like Claude Code and Lovable to rapidly prototype internal tools and workflow applications</li><li>Document data logic, workflow architecture, and process changes as you build</li></ul></li></ul> 


Requirements

Required:
<ul>
<li>Bachelor's degree in Computer Science, Software Engineering, or a related technical field</li>
</ul><ul><li>Strong SQL skills &mdash; comfortable writing complex queries, CTEs, and window functions</li>
</ul><ul><li>Hands-on experience with AI tools: LLM APIs (Claude, OpenAI), prompt engineering, and AI-assisted development (Claude Code, Cursor, or similar)</li>
</ul><ul><li>Experience with Clay or a strong desire to become an expert quickly &mdash; this is your primary tool</li>
</ul><ul><li>Familiarity with workflow automation platforms, ideally n8n or similar (Zapier, Make)</li>
</ul><ul><li>Experience with low-code/no-code app builders such as Lovable, Bolt, or v0</li>
</ul><ul><li>1&ndash;3 years of professional experience; strong internship or project work welcome</li>
</ul><ul><li>Genuine interest in sales and marketing &mdash; you want to understand the GTM motion, not just build abstractions</li>
</ul>
Nice to Have:
<ul>
<li>Experience with Salesforce data models and SFDC integrations</li>
</ul><ul><li>Familiarity with Snowflake, dbt, or other data warehouse tooling</li>
</ul><ul><li>Exposure to ABM platforms like 6sense or intent data concepts</li>
</ul><ul><li>Python skills for scripting, API integrations, or ML experimentation</li>
</ul><ul><li>Prior work in a RevOps, sales ops, or marketing ops context</li></ul> 


Benefits:

We offer a competitive benefits program including:
<ul>
<li>Medical, dental, vision, life &amp; disability insurance</li>
</ul><ul><li>401(k) plan with company match</li>
</ul><ul><li>Flexible Time Off (FTO), wellbeing days, paid holidays, and summer Fridays</li>
</ul><ul><li>Mental health resources</li>
</ul><ul><li>Paid parental leave &amp; Backup Care</li>
</ul><ul><li>Tuition reimbursement</li>
</ul><ul><li>Employee Resource Groups (ERGs)</li></ul><div> 

InvoiceCloud is committed to providing equal employment opportunities to all employees and applicants. We do not tolerate discrimination or harassment of any kind based on race, color, religion, age, sex, nationality, disability, genetic information, veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected under applicable laws.

This commitment applies to all aspects of employment, including recruitment, hiring, placement, promotion, termination, layoff, recall, transfer, leave, compensation, and training.

If you require a disability-related or religious accommodation during the application or recruitment process, and wish to discuss possible adjustments, please contact jobs@invoicecloud.com.

Click here to review InvoiceCloud's Job Applicant Privacy Policy.

For recruitment agencies: InvoiceCloud does not accept unsolicited resumes from agencies. Please do not forward resumes to our job aliases, employees, or any other company location. InvoiceCloud is not responsible for any fees associated with unsolicited submissions.</div></div>

GTM Engineer

Lorikeet

<div><h2 class="jobSectionHeader">About Us</h2> 
Lorikeet is redefining what customer support looks like &mdash; and we're just getting started. 
We build AI that handles complex, high-volume support for fintechs, healthtechs, marketplaces, and delivery services. Not chatbot-tier AI. The kind that actually resolves tickets, gives support teams their time back, and raises the bar for what software can do. 
We're backed by over $50M USD from QED, Blackbird, and Square Peg, with backing from operators like Claire Hughes Johnson (ex-Stripe COO) and Cristina Cordova (Linear COO), plus founders of Canva, Atlassian, and Airwallex. We're the first company since Canva to be funded at early stage by all three of Australia's top VC funds &mdash; which tells you something about the calibre of people who've looked closely at what we're building and said yes. 
Our customers include some of the largest telehealth, fintech, and marketplace companies in the US and Australia &mdash; many handling over a million support tickets a year. The problems are real, the scale is real, and the work matters. 
If you want to build something that genuinely changes how businesses and customers interact &mdash; this is the place.<h2 class="jobSectionHeader">
About the role</h2>
We're looking for a GTM Engineer to own the systems that generate pipeline &mdash; someone who thinks like an engineer but executes like a marketer. You'll build AI-powered marketing infrastructure, run signal-based prospecting at scale, and drive growth loops across organic, paid, and lifecycle marketing.
This isn't a traditional demand gen role. You'll use Claude Code, Clay, and modern AI tooling to build things that would have required a team of five a few years ago. You'll own experimentation velocity, not just campaign execution.
You'll report to the Head of Marketing and work cross-functionally with sales, product, and forward-deployed engineering.<h2 class="jobSectionHeader"> 
What you'll do</h2>
Build AI-powered marketing infrastructure<ul><li>
Design and operate AI agents that run marketing workflows autonomously &mdash; including lead enrichment, campaign personalisation, content production, and signal monitoring</li><li>
Build experimentation infrastructure that tests messaging, channels, and sequences faster than traditional marketing teams thought possible</li><li>
Create self-improving systems with evals, feedback loops, and guardrails that get better without constant supervision</li></ul> 
Run signal-based prospecting<ul><li>
Build and optimise outbound engines using Clay, Apollo, RB2B, Unify, Instantly, and similar tools</li><li>
Surface buying signals (hiring, funding, competitor moves, contract renewals) and route them to sales with full context</li><li>
Design enrichment workflows that prioritise accounts automatically and identify warm intro paths</li></ul> 
Drive growth loops<ul><li>
Own lifecycle marketing: nurture sequences, re-engagement campaigns, and credit consumption alerts that drive expansion</li><li>
Run 1:many ABM campaigns targeting industry marketing account lists</li><li>
Build and iterate on paid campaigns (LinkedIn, Google, Reddit) with rapid A/B testing</li><li>
Connect organic content (Steve's LinkedIn, SEO/GEO) to conversion infrastructure</li></ul> 
Own experimentation velocity<ul><li>
Run 4&ndash;6 marketing experiments per month with clear hypotheses, metrics, and iteration cycles</li><li>
Document what works and systematise successful experiments into repeatable playbooks</li><li>
Track pipeline influence, reply rates, meetings booked, and cost per meeting across all channels</li></ul><h2 class="jobSectionHeader"> 
What we're looking for</h2><ul><li> 
3&ndash;6 years in growth marketing, marketing ops, revenue ops, or a hybrid sales/marketing role at a B2B SaaS company</li><li>
Genuine fluency with AI tools &mdash; building with Claude Code, Cursor, or similar, not waiting for someone else to build for you</li><li>
Experience with the modern GTM stack: Clay, Apollo, HubSpot, Unify, or similar (or demonstrated ability to learn fast)</li><li>
Quantitative mindset: you think in funnels, conversion rates, cohort analysis, and attribution models</li><li>
Comfort with ambiguity: we're building the playbook, not executing an existing one</li><li>
Consulting or product background is a plus &mdash; as is experience in growth or as an SDR/BDR</li><li>
Strong communication skills: you'll work across sales, product, and marketing</li></ul></div>

Pallet

<div><div>About Pallet
Pallet is building AI Agents to transform logistics &mdash; a $12 trillion global industry. We've raised $50M from top investors, including General Catalyst, Bessemer Venture Partners, and Bain Capital Ventures. In under two years, we've achieved 700% revenue growth and are just getting started.

Our mission is to increase the efficiency of the global supply chain by automating the manual workflows that slow logistics teams down &mdash; from scheduling and appointment setting to data entry and load management. Our flagship platform provides end-to-end visibility, control, and optimization, while our newest product, CoPallet, introduces AI Agents that can understand and execute requests in real time, and integrate directly with customer systems.

As logistics providers look to generative AI to drive efficiency, many are turning to Pallet to lead the way. With deep industry expertise and cutting-edge AI capabilities, we're positioned to build the next $10B company in logistics.

Join us and work alongside leaders from Google, DoorDash, YC, and more to shape the future of logistics tech.</div>
You could be a Sales Engineer anywhere, why us?
<ul>
<li>Work directly with Andrew Geisse, VP of Revenue a sales leader with deep experience scaling enterprise GTM orgs</li>
<li>Help transform a massive industry and scale us toward a $10B+ business.</li>
<li>Build the Sales Engineering function from scratch; a founding role, huge ownership.</li>
</ul>
About the opportunity:

We're hiring a GTM / Sales Engineer&mdash; a hybrid technical and customer-facing role that connects our AI platform to the real workflows of the world's largest logistics companies.

You'll own technical validation and custom demos, work directly with Sales, Product, and Engineering, and drive proofs of concept that show customers what's possible when AI meets logistics. This is a founding role with the opportunity to build the playbook and eventually scale the Sales Engineering org.

Why this role is different:
<ul>
<li>Founding member of the GTM/Sales Engineering team &mdash; help shape process, tooling, and best practices.</li>
<li>Combines hands-on integration and workflow design with storytelling and customer credibility.</li>
<li>Work directly with executives and customers across the enterprise logistics ecosystem.</li>
<li>Learn deeply about AI agent architecture (browser automation, voice AI, RAG/memory systems).</li>
</ul>
How you will make an impact:
<ul>
<li>Own and deliver technical demos that accelerate deals &mdash; translate real customer workflows into high-impact, tailored experiences.</li>
<li>Build quick integrations and prototypes using Zapier, Retool, or Make to demonstrate value fast.</li>
<li>Map and reason through data flows across TMS, WMS, and CRM systems &mdash; understanding APIs, schemas, and webhooks.</li>
<li>Partner with Sales on proofs of concept and technical validation throughout the deal cycle.</li>
<li>Communicate clearly across audiences &mdash; from operations leads to CTOs, adapting depth and framing as needed.</li>
<li>Enable the GTM team &mdash; build demo templates, run feature briefings, and improve internal technical fluency.</li>
<li>Feed insights back to Product &mdash; capture workflow pain points and feature requests from the field to shape roadmap direction.</li>
</ul>
Preferred experience:
<ul>
<li>5+ years in a Sales Engineer, Solutions Engineer, or Forward Deployed Engineer role, ideally at a high-growth B2B SaaS or AI company.</li>
<li>Strong technical fluency &mdash; able to reason about APIs, data schemas (JSON), and system integrations.</li>
<li>Experience with automation or AI-driven products (e.g., browser automation, RAG, voice AI, etc.).</li>
<li>Comfortable building quick prototypes with low-code tools (Zapier, Make, Retool, Postman).</li>
<li>Excellent storytelling and presentation skills &mdash; able to engage both technical and executive audiences.</li>
<li>High curiosity and adaptability &mdash; thrives in ambiguity and learns fast.</li>
</ul>
Our Benefits:
<ul><li> Health, Vision, and Dental benefits</li>
<li>️ Flexible PTO</li>
<li>➕ Life Insurance and Accidental Insurance</li>
❤️&zwj;<li> Short-Term Disability Coverage</li>
<li> Generous salary and equity for all staff</li>
<li> 401k option; helping you save for the future</li>
<li> Yearly learning and development stipend</li>
<li> Commuter benefits</li>
<li> Uber ride stipend if you ever have to work late in the office</li>
<li> Daily catered lunches provided by Sharebite (every meal you order, one meal gets donated)</li>
<li> Monthly happy hours</li>
 Annual Company Offsites; our last one was in Palm Springs
</ul>
Interview Process:
<ul>
<li>Intro Call with Talent Team - 30 mins</li>
<li>Technical Take-Home + Schedule Presentation (paid $100)</li>
<li>Final Interview - 2 hours</li>
<li>Executive Review with CEO - 45 mins</li>
</ul>
Compensation:

The estimated salary range for this role is $190,000 - $250,000 OTE depending on experience and skill set. In addition to base salary, we offer competitive equity, benefits, and opportunities for growth. Final compensation will be determined based on a combination of factors, including experience, qualifications, and location.

Location:

This role is open to remote in Central/Eastern Timezone or New York City Office.

Travel:
<ul>
<li>Travel will be involved with this role, 20-30%</li>
</ul>
Pallet is proud to be an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</div>

Sales Engineer (Remote) East Coast USA

Qureos

About Qureos Hiring is broken. Slow. Manual. Expensive.At Qureos, we’re rebuilding how companies hire using AI, structured processes, and smart automation.We move fast. We test aggressively. We scale what works.Now we’re looking for a GTM Engineer who can build the engine behind our revenue machine.If you enjoy scraping clean data, wiring tools together, automating workflows, and watching pipeline velocity improve because of systems you built — keep reading. The Role This isn’t traditional RevOps.This is hands-on, technical GTM engineering.You’ll sit at the intersection of:<ul><li>Sales</li><li>Growth</li><li>Data</li><li>Automation</li></ul> Your mission: Build and optimize the infrastructure that powers our entire revenue engine. What You’ll Own <ol><li>Lead Intelligence &amp; List Building - Scrape and enrich lead data using tools and scripts - Build high-quality, segmented lead lists - Use LinkedIn Sales Navigator, scraping tools, APIs, and enrichment platforms - Continuously improve data quality and targeting logic - Outbound shouldn’t rely on guesswork. It should run on signal.  </li><li>GTM Automations - Build automations using Make / Zapier - Connect HubSpot, Zoho, LinkedIn, Airtable, and other tools - Design workflows that eliminate manual tasks - Automate lead routing, enrichment, tagging, and lifecycle transitions - If it’s repetitive, it should be automated.  </li><li>Sales &amp; SDR Sequences - Set up and optimize outbound sequences - Structure email + LinkedIn cadences - Align messaging workflows with ICP segments - Improve conversion rates across touchpoints - Sequences are systems. Systems should be engineered.  </li><li>Integrations &amp; Infrastructure - Connect tools across the revenue stack - Build API-based integrations where needed - Write Python scripts for scraping and automation - Maintain data integrity across systems - Troubleshoot workflow issues proactively - You should be comfortable going from no-code to code when needed.  </li><li>Reporting &amp; Revenue Insights - Review performance numbers across the funnel - Track pipeline coverage and velocity - Maintain clean dashboards and reporting structures - Use Mixpanel, Airtable, CRM data to provide actionable insights - Identify bottlenecks and propose fixes - This role is not just building systems — it’s improving them.</li></ol> Who You Are <ul><li>2–5 years experience in GTM, RevOps, Growth Ops, or technical sales operations</li><li>Comfortable with both no-code tools and writing scripts</li></ul> Experience with: <ul><li>HubSpot</li><li>Zoho</li><li>LinkedIn Sales Navigator</li><li>Make / Zapier</li><li>Python (scraping / automation)</li><li>Mixpanel</li><li>Airtable</li><li>Strong understanding of outbound and pipeline mechanics</li><li>Numbers-driven, you care about conversion rates, velocity, and coverage</li><li>Builder mindset: high ownership, fast execution</li><li>Comfortable working in ambiguity</li><li>Thinks in systems, not tasks</li></ul> You don’t wait for instructions.You identify inefficiencies and fix them. What Good Performance Looks Like <ul><li>Clean, scalable GTM infrastructure</li><li>2–3x pipeline coverage maintained</li><li>Reduced manual work across SDR &amp; sales teams</li><li>Accurate reporting and visibility</li><li>Faster lead-to-meeting conversion</li><li>Revenue engine that runs smoother every month</li></ul> Why Join Qureos <ul><li>Build the backbone of a fast-scaling AI company</li><li>High ownership and autonomy</li><li>Direct impact on revenue growth</li><li>Work closely with growth and leadership</li><li>No bureaucracy. Just speed and execution.</li></ul> If building systems that drive revenue excites you more than maintaining spreadsheets, apply.Let’s engineer the growth engine.

Revenue Operations Specialist

Motive

<div><div>Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.</div><div><div>

About the Role:

The Sales Data Quality Analyst II (L4) is a pivotal member of the GTM Strategy and Sales Operations organization, dedicated to ensuring that Salesforce data remains accurate, comprehensive, and actionable across all sales motions. Serving as the primary subject-matter expert for sales data integrity, this role focuses on account and contact data, segmentation, and global hierarchy management (including the UK and Mexico). The Analyst II will design and maintain sophisticated data quality frameworks, conduct deep-dive analyses using SQL and Salesforce, and convert complex data challenges into clear business insights and remediation strategies that bolster pipeline health, territory planning, and executive decision-making.

Responsibilities:
<ul>
<li>As a Sales Data Quality Analyst II, the person in this role is expected to:</li>
<li>Lead high-impact data quality investigations and diagnostics</li>
<li>Proactively identify data issues and anomalies across accounts, contacts, and opportunities.Use SQL and Salesforce reporting to perform root-cause analysis and quantify business impact.</li>
<li>Establish and maintain rigorous data quality standards</li>
<li>Help define what &ldquo;good&rdquo; looks like for sales data (e.g., completeness, consistency, and accuracy thresholds).Contribute to and maintain data quality scorecards, rules, and documentation.</li>
<li>Engineer and oversee proactive data monitoring frameworks</li>
<li>Build, maintain, and iterate on automated checks and recurring reports that monitor data health (e.g., duplicate detection, missing key fields, invalid hierarchies).Surface prioritized issue lists and trends to GTM stakeholders.Support segmentation and enrichment initiativesPartner with regional teams (e.g., UK contact enrichment, Mexico account segmentation) to define data requirements and coverage goals.Validate enrichment inputs and outputs, ensuring they meet agreed standards before they are rolled out to sales teams.</li>
<li>Architect account hierarchy and structural integrity</li>
<li>Support the design and maintenance of parent&ndash;child account hierarchies in Salesforce.Ensure that account structures reflect real-world corporate relationships and support roll-up reporting and planning.Partner with Sales, RevOps, and GTM StrategyWork closely with business stakeholders to understand how data is used in daily workflows and executive reporting.Translate data quality findings into clear, actionable recommendations tied to sales outcomes.</li>
<li>Standardize documentation and operationalize for scale</li>
<li>Create and maintain process documentation, runbooks, and data dictionaries related to key sales data objects and fields.Recommend process and system changes that reduce recurring data issues and support sustainable data quality improvements.</li>
</ul>
Qualifications:
<ul>
<li>Bachelor&rsquo;s degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Economics, Business Analytics) or equivalent practical experience in sales data, analytics, or operations.</li>
<li>Advanced SQL Proficiency: Expert ability to perform data validation, profiling, and reporting across large, complex datasets.</li>
<li>Salesforce Expertise: Strong working knowledge of Salesforce objects (Accounts, Contacts, Opportunities, custom GTM fields), including complex hierarchies and segmentation logic.</li>
<li>AI &amp; Automation Proficiency: Experience leveraging AI/ML and LLM-powered tools to accelerate analysis, documentation, and data quality investigations while applying strong human judgment and validation.</li>
<li>Data Enrichment: Familiarity with data enrichment workflows and rigorous quality checks for third-party data sources.</li>
<li>Analytical Problem-Solving: Ability to perform structured root-cause analysis and bridge technical issues with tangible business impact.</li>
<li>Strategic Prioritization: Proven comfort in prioritizing issues based on impact, effort, and evolving stakeholder needs.</li>
<li>Executive Communication: Ability to communicate complex findings in a clear, concise, and business-friendly way to sales leadership.</li>
<li>Stakeholder Management: Skill in managing expectations, aligning on priorities, and driving accountability for remediation plans.</li></ul></div> 

</div><div>Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here.

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.</div></div>

Sales Data Quality Analyst II New

<div><div>Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.</div><div>

About the Role:

The Sales Data Quality Analyst II (L4) is a pivotal member of the GTM Strategy and Sales Operations organization, dedicated to ensuring that Salesforce data remains accurate, comprehensive, and actionable across all sales motions. Serving as the primary subject-matter expert for sales data integrity, this role focuses on account and contact data, segmentation, and global hierarchy management (including the UK and Mexico). The Analyst II will design and maintain sophisticated data quality frameworks, conduct deep-dive analyses using SQL and Salesforce, and convert complex data challenges into clear business insights and remediation strategies that bolster pipeline health, territory planning, and executive decision-making.

Responsibilities:
<ul>
<li>As a Sales Data Quality Analyst II, the person in this role is expected to:</li>
<li>Lead high-impact data quality investigations and diagnostics</li>
<li>Proactively identify data issues and anomalies across accounts, contacts, and opportunities.Use SQL and Salesforce reporting to perform root-cause analysis and quantify business impact.</li>
<li>Establish and maintain rigorous data quality standards</li>
<li>Help define what &quot;good&quot; looks like for sales data (e.g., completeness, consistency, and accuracy thresholds).Contribute to and maintain data quality scorecards, rules, and documentation.</li>
<li>Engineer and oversee proactive data monitoring frameworks</li>
<li>Build, maintain, and iterate on automated checks and recurring reports that monitor data health (e.g., duplicate detection, missing key fields, invalid hierarchies).Surface prioritized issue lists and trends to GTM stakeholders.Support segmentation and enrichment initiativesPartner with regional teams (e.g., UK contact enrichment, Mexico account segmentation) to define data requirements and coverage goals.Validate enrichment inputs and outputs, ensuring they meet agreed standards before they are rolled out to sales teams.</li>
<li>Architect account hierarchy and structural integrity</li>
<li>Support the design and maintenance of parent&ndash;child account hierarchies in Salesforce.Ensure that account structures reflect real-world corporate relationships and support roll-up reporting and planning.Partner with Sales, RevOps, and GTM StrategyWork closely with business stakeholders to understand how data is used in daily workflows and executive reporting.Translate data quality findings into clear, actionable recommendations tied to sales outcomes.</li>
<li>Standardize documentation and operationalize for scale</li>
<li>Create and maintain process documentation, runbooks, and data dictionaries related to key sales data objects and fields.Recommend process and system changes that reduce recurring data issues and support sustainable data quality improvements.</li>
</ul>
Qualifications:
<ul>
<li>Bachelor's degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Economics, Business Analytics) or equivalent practical experience in sales data, analytics, or operations.</li>
<li>Advanced SQL Proficiency: Expert ability to perform data validation, profiling, and reporting across large, complex datasets.</li>
<li>Salesforce Expertise: Strong working knowledge of Salesforce objects (Accounts, Contacts, Opportunities, custom GTM fields), including complex hierarchies and segmentation logic.</li>
<li>AI &amp; Automation Proficiency: Experience leveraging AI/ML and LLM-powered tools to accelerate analysis, documentation, and data quality investigations while applying strong human judgment and validation.</li>
<li>Data Enrichment: Familiarity with data enrichment workflows and rigorous quality checks for third-party data sources.</li>
<li>Analytical Problem-Solving: Ability to perform structured root-cause analysis and bridge technical issues with tangible business impact.</li>
<li>Strategic Prioritization: Proven comfort in prioritizing issues based on impact, effort, and evolving stakeholder needs.</li>
<li>Executive Communication: Ability to communicate complex findings in a clear, concise, and business-friendly way to sales leadership.</li>
<li>Stakeholder Management: Skill in managing expectations, aligning on priorities, and driving accountability for remediation plans.</li></ul></div> 

<div>Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here.

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.</div></div>

Sales Data Quality Analyst II

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