gtm engineer

Liquid Technologies

Job Title: Outbound Sales Automation / GTM EngineerExperience: 3-5 years (flexible for strong operators)Role OverviewWe&rsquo;re looking for an Outbound Sales Automation / GTM Engineer who can design, build, and optimize scalable outbound systems. This role blends sales ops, growth engineering, and automation, focused on turning ICPs into booked meetings through email, LinkedIn, CRM, and AI-driven workflows.You&rsquo;ll own the outbound motion end-to-end &mdash; from data and tooling to messaging, deliverability, and conversion.Key ResponsibilitiesOutbound System Architecture<ul><li>Build and maintain outbound engines using tools like Smartlead, Instantly, Apollo, GoHighLevel, HubSpot, Salesforce, etc.</li><li>Design multi-channel sequences (email, LinkedIn, calls, WhatsApp where relevant).</li><li>Set up AI-assisted SDR workflows (lead enrichment, personalization, follow-ups).</li></ul>Data, Targeting &amp; ICP<ul><li>Define and refine ICPs, personas, and buying signals.</li><li>Source, clean, enrich, and segment lead lists (Sales Navigator, ContactOut, Apollo, Clay, etc.).</li><li>Implement account-based outbound (ABM) for high-value targets.</li></ul>Messaging &amp; Conversion<ul><li>Collaborate on cold email and LinkedIn copy (pain-driven, outcome-focused).</li><li>A/B test subject lines, hooks, CTAs, and sequencing logic.</li><li>Optimize for meeting booked, not just open or reply rates.</li></ul>Deliverability &amp; Infrastructure<ul><li>Manage domains, inbox rotation, DNS (SPF, DKIM, DMARC).</li><li>Monitor spam health, warming, bounce rates, and sender reputation.</li><li>Ensure consistent inbox placement at scale.</li></ul>Automation &amp; Integrations<ul><li>Build no-code / low-code workflows using Zapier, Make, n8n.</li><li>Integrate outbound tools with CRMs, calendars, Slack, and analytics.</li><li>Automate reporting, lead routing, and follow-ups.</li></ul>Analytics &amp; Optimization<ul><li>Track funnel metrics: delivery &rarr; open &rarr; reply &rarr; meeting &rarr; close.</li><li>Create dashboards and weekly performance reports.</li><li>Continuously iterate GTM strategy based on data.</li></ul>Required Skills &amp; Experience<ul><li>Hands-on experience with cold email + LinkedIn outbound</li><li>Strong understanding of sales automation tools &amp; CRMs</li><li>Knowledge of email deliverability best practices</li><li>Comfortable with no-code / low-code automation</li><li>Analytical mindset with strong experimentation habits</li></ul>Application Question(s):<ul><li>Have you completed the following level of education: Bachelor's Degree?</li><li>What will be your expected salary in PKR?</li><li>What is your current salary in PKR?</li><li>Do you have 3+ years of experience in outbound sales automation or GTM operations?</li><li>Are you comfortable to manage your commute to Zamzama Phase V?</li><li>Have you built automation workflows and integrations using tools like Zapier, Make, or similar no-code platforms?</li></ul>Work Location: In person

GTM Engineer

Valsoft

<div>GTM Engineer - GTM Engineer - DockMaster
About Dockmaster.com
Dockmaster.com is the leading marina management platform serving entertainment attractions and venues across the waterfront industry. Our software powers dock operations, reservations, billing, and guest experiences for marinas nationwide.
We&rsquo;re building a modern revenue engine to match our ambitions &mdash; and this role is at the center of that transformation.
The GTM Engineer is a hybrid builder&ndash;operator who designs and maintains the technical infrastructure that powers Dockmaster&rsquo;s revenue engine. Rather than manually running sales and marketing operations, you&rsquo;ll build systems that automate, scale, and optimize them. You&rsquo;ll sit at the intersection of engineering, data, and go-to-market strategy &mdash; turning workflows that take hours into systems that run in seconds. In short: you don&rsquo;t just run the playbook &mdash; you build the machine that runs it.
Working cross-functionally with Sales, Marketing, Product, and Professional Services. You&rsquo;ll be embedded within the revenue team but operate with significant autonomy &mdash; think of yourself as the engineering arm of the go-to-market organization.
Collaborates With Sales (SDRs, AEs), Marketing, Product, Data, Professional Services, Product Manager, Sales, Marketing Lead.
Why Dockmaster<ul><li>
Ground-floor opportunity to build the entire GTM technical infrastructure from scratch</li><li>
Direct impact on revenue &mdash; your systems will power every dollar of new business</li><li>
Work alongside a leadership team that values speed, experimentation, and automation-first thinking</li><li>
Category-defining SaaS platform in a vertical with massive, untapped potential</li><li>
Autonomy to choose your tools, design your systems, and own the outcomes</li></ul>
The successful candidate will be based anywhere in the US, working in a remote work model!
What your day will look like:
Sales Automation and Productivity
<ul><li>Build and maintain tools that dramatically increase SDR and AE productivity across the full sales cycle</li><li>
Design automated lead enrichment pipelines that append firmographic, technographic, and intent data to inbound and outbound leads in real time
</li><li>Build prospecting automation workflows that surface high-fit accounts based on ICP criteria and buying signals
</li><li>Architect CRM workflow automations in HubSpot to enforce pipeline hygiene, automate stage progression, and trigger internal notifications
</li><li>Develop AI-driven outbound messaging sequences that personalize at scale using prospect-specific context
</li><li>Create meeting booking automation to reduce scheduling friction and increase connect rates
</li></ul>Growth, Infrastructure and Pipeline Generation
<ul><li>Create the systems that generate and nurture a pipeline without constant manual intervention</li><li>
Build automated outbound campaign engines that execute multi-channel sequences (email, LinkedIn, phone) on a defined cadence
</li><li>Develop AI-generated personalized outreach at scale, adapting messaging to prospective industry, role, and stage
</li><li>Implement data scraping and lead sourcing workflows to build targeted prospect lists from public data sources
</li><li>Create trigger-based prospecting systems (e.g., a marina raises funding or announces expansion AI detects personalized outreach generated SDR notified)
</li><li>Support product-led growth workflows that convert trial users into qualified pipeline
</li></ul>AI-Powered GTM Leverage
<ul><li>AI across the revenue stack to give Dockmaster an outsized competitive advantage in speed and personalization</li><li>
Build and manage AI SDR assistants that handle initial prospect engagement, qualification, and handoff
</li><li>Develop AI-generated demo environments and personalized demo prep packets</li><li>
Create AI proposal and SOW generation tools that reduce deal cycle time
</li><li>Implement AI call summary and coaching workflows that feed insights back into the sales process
</li><li>Build AI-based prospective research tools that deliver actionable account briefs before every call
</li></ul>Data and Revenue Analytics
<ul><li>Build the dashboards and models that give leadership real-time visibility into revenue performance</li><li>
Design pipeline analytics dashboards that track stage velocity, conversion rates, and bottlenecks</li><li>
Build and refine lead scoring models that prioritize the highest-value opportunities for sales</li><li>
Implement end-to-end conversion tracking across marketing and sales touchpoints
</li><li>Create experimentation analysis frameworks to measure the impact of GTM tests
</li><li>Develop attribution systems that connect marketing spending to closed revenue
</li></ul>Experimentation and Rapid Growth Testing
<ul><li>Run a high-velocity experimentation program that continuously improves GTM performance
</li><li>Target: 10&ndash;20 experiments per month</li><li>
Test different ICP segments to identify under-penetrated verticals within the marina and entertainment industry
</li><li>A/B test outreach messaging across channels, personas, and value propositions
</li><li>Run pricing and packaging experiments in collaboration with product and finance
</li><li>Optimize the demo POC close conversion funnel with structured tests and measurement
</li><li>Document findings in a shared experiment log to build institutional knowledge</li></ul>
Tech Stack and Tools:
You&rsquo;ll be expected to work fluently across the following (or equivalent) tools:
<ul><li>Category Tools CRM and Sales Engagement HubSpot (primary), Salesforce familiarity a plus
</li><li>Enrichment and Prospecting ZoomInfo
</li><li>AI and LLMs OpenAI APIs, Claude, custom AI workflows
</li><li>Data and Analytics SQL, Looker / Metabase / HubSpot reporting, Google Sheets
</li><li>Outreach and Sequencing HubSpot Sequences, Outreach, or equivalent
</li><li>Dev and Scripting Python, JavaScript/Node.js, REST APIs</li></ul>
About You:
<ul><li>3+ years of experience in revenue operations, sales engineering, growth engineering, or a technical GTM role</li><li>
Hands-on proficiency building automations in CRM platforms (HubSpot strongly preferred)</li><li>
Working knowledge of APIs, webhooks, and integration platforms (Zapier, Make, or custom code)</li><li>
Experience implementing AI/LLM-powered workflows in a business context</li><li>
Strong analytical skills with the ability to build dashboards and interpret pipeline data</li><li>
Bias toward action: you ship fast, measure results, and iterate</li><li>
Excellent cross-functional communication &mdash; able to translate between sales, marketing, and engineering</li><li>
Experience in B2B SaaS, ideally selling into niche or vertical markets</li><li>
Background in the marina, attractions, hospitality, or venue management space</li><li>
Proficiency in Python or JavaScript for building custom tools and scripts</li><li>
Familiarity with Clay, Apollo, or similar enrichment and prospecting platforms</li><li>
Track record of running structured growth experiments with measurable outcomes</li><li>
Fluent in English, both written and verbal, is essential</li><li>
Legally authorized to work in the US</li></ul>
For information about DockMaster, please visit our website at www.dockmaster.com
We thank all applicants for their interest; however, only those candidates selected for an interview will be contacted.
#Dockmaster</div>

GTM Engineer - DockMaster

HumanSignal

<div>
 
 The future of AI &mdash; whether in training or evaluation, classical ML or agentic workflows &mdash; starts with high-quality data.
 
 
 
 At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
 
 
 Our open-source product,
 
 Label Studio
 
 , has become the
 
 de facto standard
 
 for labeling and evaluating data across modalities &mdash; from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems.
 
 
 
 Label Studio Enterprise
 
 builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines &mdash; powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems &mdash; we'd love to talk.
 
 
 
 About the Role
 
 
 
 We're looking for an ambitious AI Engineer to
 
 transform how our go-to-market team operates
 
 . San Francisco, Austin, or Lisbon are preferred locations where you can collaborate with team members, but the position is remote or hybrid.
 
 
 As the founding GTM engineer, you will architect and build the AI-powered systems that power our entire GTM motion, owning the technology stack, partnering with stakeholders to define the workflows, deploying AI agents and apps, and continuously improving how the company acquires, activates, and grows customers.
 
 
 This is a highly hands-on role for someone who enjoys
 
 shipping systems, experimenting rapidly, and solving messy real-world problems with software.
 
 
 
 
 Why This Role Matters
 
 
 
 This role is a force multiplier for the entire company. You'll build the infrastructure that allows the GTM team to
 
 move faster, learn faster, and scale without proportional headcount.
 
 You'll help us:
 
 
 <ul>
 <li>
 Turn GTM from a set of tools into a cohesive, intelligent system
 </li>
 <li>
 Scale workflows without scaling headcount
 </li>
 <li>
 Improve signal quality and timing for marketing and sales
 </li>
 <li>
 Increase learning velocity across the entire funnel
 </li>
 <li>
 Shape how an open-source, bottom-up product grows into enterprise adoption
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 
 Build &amp; Automate the foundational GTM AI stack
 
 
 
 <ul>
 <li>
 Design, build, and maintain AI systems across marketing, PLG, sales, and post-signup activation
 </li>
 <li>
 Own integrations and workflows across tools like CRM, marketing automation, product analytics, data warehouse, enrichment tools, and internal services
 </li>
 <li>
 Build internal tools and lightweight services that accelerate GTM teams
 </li>
 <li>
 Replace manual workflows with scalable, automated systems
 
 
 </li>
 </ul>
 
 AI-Powered Systems &amp; Agents
 
 
 
 Design and deploy
 
 AI-driven workflows and agents
 
 that augment GTM teams.
 
 
 Examples include:
 
 
 <ul>
 <li>
 Lead qualification, inbound lead routing, and enrichment
 </li>
 <li>
 Personalized lifecycle marketing and outbound messaging
 </li>
 <li>
 Sales assist tools for deal intelligence and account research
 </li>
 <li>
 Automated account insights, pipeline analysis, and deal lifecycle management
 </li>
 <li>
 User onboarding, activation, and expansion signals
 
 
 </li>
 </ul>
 You'll continuously improve these systems using
 
 real performance data and feedback loops.
 
 
 
 
 Growth: PLG + Sales-Assisted Motion
 
 
 
 <ul>
 <li>
 Support a hybrid GTM model where open-source and self-serve users graduate into paid, sales-assisted customers
 </li>
 <li>
 Partner with Data &amp; Growth to build systems that surface product signals (usage, intent, readiness) to marketing and sales teams at the right time
 </li>
 <li>
 Partner closely with Product &amp; Marketing to turn usage insights into GTM leverage
 
 
 </li>
 </ul>
 
 Experimentation &amp; Learning
 
 
 
 Build the infrastructure that allows the GTM team to
 
 learn quickly and iterate with confidence.
 
 
 
 <ul>
 <li>
 Design and run experiments across acquisition, activation, conversion, and expansion
 </li>
 <li>
 Build experimentation frameworks (feature flags, A/B testing, measurement systems)
 </li>
 <li>
 Instrument systems to capture reliable data and insights
 </li>
 <li>
 Rapidly iterate based on results, not assumptions
 
 
 </li>
 </ul>
 
 Feedback Loops &amp; Continuous Improvement
 
 
 
 Create tight feedback loops between users, product signals, and GTM actions.
 
 
 <ul>
 <li>
 Partner with head of , accessible, and actionable across teams
 </li>
 <li>
 Turn qualitative and quantitative insights into system improvements
 </li>
 <li>
 Continuously optimize workflows, models, and automation based on real outcomes
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 
 Core Skills
 
 
 
 This is fundamentally an
 
 engineering role
 
 , not traditional GTM operations. We're looking for someone who enjoys
 
 building systems, not managing tools.
 
 
 
 <ul>
 <li>
 Strong engineering background (software, data, or growth engineering)
 </li>
 <li>
 Comfortable shipping production code (APIs, services, scripts, internal tools)
 </li>
 <li>
 Experience working with data pipelines, analytics, and experimentation frameworks
 </li>
 <li>
 Hands-on experience with AI/LLMs, prompt engineering, or agent-based systems
 
 
 </li>
 </ul>
 
 Collaboration &amp; Ownership
 
 
 
 <ul>
 <li>
 Ability to work cross-functionally with Product, Engineering, Marketing and Sales
 </li>
 <li>
 Comfortable operating with ambiguity and defining the problem as you go
 </li>
 <li>
 Strong communicator who can translate between technical and GTM stakeholders
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with open-source or developer-focused products
 </li>
 <li>
 Familiarity with CRM systems (e.g., Salesforce, HubSpot), CDPs, and marketing automation
 </li>
 <li>
 Experience building internal tools for sales or marketing teams
 </li>
 <li>
 Prior work in B2B SaaS, data, or AI-first companies
 </li>
 </ul>
</div>

AI Engineer (GTM)

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

ZainTech

<div>The Network Engineer is responsible for the design, implementation, monitoring, and optimization of enterprise network infrastructure to ensure high availability, performance, and security across the organization. The role focuses on maintaining and improving critical networking technologies including F5 application delivery controllers, Riverbed WAN optimization platforms, Cisco collaboration systems, and Cisco switching and routing environments.
The engineer will be outsourced to a government sector customer and plays a key role in proactively monitoring network performance, diagnosing complex issues, and implementing solutions that improve network reliability and efficiency. Working closely with infrastructure, security, and application teams, the Network Engineer contributes to maintaining stable operations while supporting the organization&rsquo;s evolving connectivity and collaboration requirements.
Responsibilities:
Network Infrastructure Management<ul><li>
Design, configure, and maintain enterprise network infrastructure to ensure high availability and optimal performance.</li><li>
Administer and support Cisco switching and routing environments, including VLANs, routing protocols, and network segmentation.</li><li>
Manage network connectivity across data centers, offices, and remote environments.</li><li>
Implement network configurations aligned with organizational standards, security policies, and best practices.</li></ul>
Application Delivery &amp; Load Balancing<ul><li>
Manage and maintain F5 Application Delivery Controllers (ADC) including:
</li><li><ul><li>Local Traffic Manager (LTM)</li><li>
Global Traffic Manager (GTM)</li><li>
Web Application Firewall (WAF)</li></ul></li><li>
Configure and optimize load balancing policies to improve application availability and performance.</li><li>
Monitor application traffic and adjust configurations to ensure efficient traffic distribution and security.</li></ul>
WAN Optimization &amp; Network Performance<ul><li>
Implement and manage Riverbed WAN optimization solutions to improve network efficiency and application performance across distributed environments.</li><li>
Analyze WAN traffic patterns and identify opportunities to improve bandwidth utilization and network performance.</li><li>
Collaborate with infrastructure teams to enhance application delivery and network responsiveness.</li></ul>
Collaboration Infrastructure Support<ul><li>
Administer and support Cisco Collaboration solutions, including VoIP and Unified Communications platforms.</li><li>
Ensure stable operation of voice and collaboration services across the organization.</li><li>
Troubleshoot and resolve issues related to call quality, connectivity, and system integration.</li></ul>
Network Monitoring &amp; Troubleshooting<ul><li>
Continuously monitor network infrastructure using enterprise monitoring tools to ensure operational stability.</li><li>
Proactively identify potential performance issues, network bottlenecks, and service disruptions.</li><li>
Perform root cause analysis and implement corrective actions to minimize downtime and improve reliability.</li><li>
Escalate complex issues where required and coordinate with vendors or internal teams for resolution.</li></ul>
Reporting &amp; Performance Analysis<ul><li>
Generate detailed technical reports and network performance analyses for internal stakeholders.</li><li>
Monitor and report on key network KPIs including availability, latency, throughput, and utilization.</li><li>
Provide insights and recommendations to improve network efficiency, reliability, and scalability.</li><li>
Maintain up-to-date documentation for network configurations, architecture diagrams, and operational procedures.</li></ul> 

Requirements 
<ul><li>
7+ years of experience in enterprise network engineering or infrastructure operations roles.</li><li>
Bachelor&rsquo;s degree in Computer Engineering, Information Technology, or a related field.</li><li>
Strong hands-on experience with F5 technologies (LTM, GTM, WAF).</li><li>
Experience implementing and managing Riverbed WAN optimization solutions.</li><li>
Solid expertise in Cisco switching and routing technologies.</li><li>
Experience supporting Cisco Collaboration platforms including VoIP and Unified Communications.</li><li>
Strong troubleshooting capabilities across network, application delivery, and connectivity environments.</li></ul></div>

Network Engineer

Train With Ellie

<div>About Owner.com
Owner is the AI growth system for local restaurants. 
Our AI continuously improves SEO, marketing, and online ordering to grow first-party orders. Unlike other companies that force small business owners to master their software to drive sales, Owner gives them a proven system run by experts. 
Owner is like having an army of engineers and marketers on your side, just like the big chains. 
Our vision
We&rsquo;re starting by helping independent restaurants succeed online. 
But it&rsquo;s not just restaurants that need our help. Most local businesses are struggling with these same problems. Huge technology corporations are taking their customers, bleeding their profits, and making it hard for them to survive. 
Once we nail the solution for restaurants &ndash; we&rsquo;ll scale it into every other local business type. 
In the future we envision, tens of millions of local business owners will use our technology to succeed in the digital age. 
Read our Series C memo here 
Our traction
Since 2020, we've generated tens of millions in revenue and processed over half a billion dollars of online orders. 1 in 5 Americans have used an Owner.com website. 
More importantly, we&rsquo;ve helped over 20,000 restaurant owners, and saved them nearly $200 million in fees. 
Our team
Our team is now in the low hundreds. We&rsquo;ve got top talent from the most successful companies in SMB software, including: Shopify, HubSpot, DoorDash, ServiceTitan, Rappi, Faire and Stripe. 
We&rsquo;ll be scaling even faster in 2026 to keep pace with our customer growth. 
Where we work
Owner is a remote-first, global company headquartered in San Francisco, with a sales hub in Toronto. For a few of our roles we prioritize in-person collaboration at one of our office locations. Most of our teammates are distributed throughout the globe. Please review the role description and discuss with your recruiter for more details on location. 
Why we&rsquo;re looking for you 
We are building a scalable, modern Data Platform at Owner.com. As a GTM Analytics Engineer, you will play a pivotal role in shaping the data landscape and driving the strategic use of data across the organization, with a focus on go-to-market solutions. You will be instrumental in building SSOT models in DBT &amp; Snowflake, maintaining robust, scalable data pipelines, and enhancing our data infrastructure to support analytics and data-driven decision-making. 
This role is 100% remote and can be based anywhere in the United States or Canada.
The impact you will have<ul><li>
Design and implement scalable, efficient Data Products that drives business value within our GTM product. Examples include sales heatmap &amp; overall efficiency; quotas &amp; attainment; revenue attribution; marketing attribution; marketing spend efficiency; Reverse ETL from product to SFDC.</li><li>
Collaborate with stakeholders and GTM data scientists to understand business requirements and translate them into clear, actionable data outputs through effective data modeling.</li><li>
Improve time to insight by preparing SSOT data models as a core input for analysis in Sigma, our preferred BI tool.</li><li>
Optimize data pipeline systems from a variety of sources, ensuring data is accurate, timely, and consistent, Sample tools: hubspot, salesforce, talkdesk, marketing platforms. Make sure our Product / backend systems have a proper linkage with GTM systems.</li><li>
Improve GTM data quality, sharing data integrity guidelines, highlighting current issues, and collaborating with different stakeholders on implementation of proper fixes.</li></ul>
Who you&rsquo;ll work with<ul><li>
This role reports to our Director of Data Analytics, Piotr Rosiak.</li><li>
You will partner with data scientists, business analysts, and key stakeholders from related teams such as Rev-Ops, Sales, Marketing, Product, Finance.</li></ul>
What we&rsquo;re looking for<ul><li>
At least 5 years of experience in a data engineering or analytics engineering role.</li><li>
Expert in SQL and DBT: strong track record of designing conceptual data models, developing comprehensive data tests, and establishing a clear, efficient single source of truth (SSOT).</li><li>
A proven track record of developing and managing marketing / sales / GTM analytics from scratch.</li><li>
Ability to build comprehensive end to end Data products (snowflake, DBT, Sigma).</li><li>
Moderate Python experience would be considered an asset.</li><li>
Highly organized, with an eye for precision and a love for keeping things tidy.</li><li>
Experience with SaaS and/or startups is highly preferred.</li><li>
Prior experience in the restaurant industry is a plus!</li></ul>
Pay and benefits<ul><li>
The estimated base salary range for this role is $160,000 to $180,000 for US-based roles, plus a generous equity pre-IPO equity package. For salary ranges in other geo locations, please discuss with your recruiter.</li><li>
Other benefits include comprehensive health coverage, work from anywhere (100% remote workplace), unlimited PTO - plus extra fun perks!</li></ul>
 Notice - Employment Scams
Communication from our team regarding job opportunities will only be made by an Owner team member with an @owner.com email address.
We do not conduct interviews over email or chat platforms, and we will never ask you to provide personal or financial information such as your mailing address, social security number, credit card numbers or banking information. If you believe you are being contacted by scammer, please mark the communication as &quot;phishing&quot; or &ldquo;spam&rdquo; and do not respond.</div><div></div>

Analytics Engineer, GTM

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