growth 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

Collective

<div>
 
 About Collective
 
 
 
 Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork.
 
 
 Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, Google&rsquo;s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft.
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for an exceptional software engineer to join our Growth team. In this role, you&rsquo;ll be a key contributor in designing and building both our member-facing products and internal systems. Your work will span critical areas such as the growth funnel, couponing, sales and marketing enablement tools, and member activation flows.
 
 
 Our team is small and moves quickly. We operate with a high degree of autonomy and expect strong ownership from every engineer. This is a unique opportunity to work on impactful projects that directly shape our growth funnel and member onboarding experience. You&rsquo;ll help design and build systems that accelerate member activation, improve conversion, and ensure a seamless journey from first touch to long-term engagement.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Build end-to-end product features in close partnership with Growth product and design teams.
 </li>
 <li>
 Write high-quality, reliable code that&rsquo;s easy to maintain and scale.
 </li>
 <li>
 Collaborate with the team to make key architectural decisions that drive scalability.
 </li>
 <li>
 Lead by example, foster a culture of egoless learning, and mentor other engineers.
 </li>
 <li>
 Approach problems with a strong product mindset, balancing technical decisions with user impact.
 </li>
 <li>
 Take extreme ownership across the full lifecycle: design, execution, launch, and post-production support.
 </li>
 <li>
 Drive initiatives that grow our member base to the next level of scale.
 </li>
 <li>
 Enhance customer activation flows to ensure a smooth onboarding experience.
 
 
 </li>
 </ul>
 
 Tech Stack &amp; Environment
 
 
 
 <ul>
 <li>
 Core: Python (Django/FastAPI), React, TypeScript.
 </li>
 <li>
 Data/Infra: PostgreSQL, Redis, AWS, Docker/Kubernetes.
 </li>
 <li>
 AI/ML (Emerging): LLM integration (OpenAI/Anthropic), LangChain/LangGraph, Vector Databases, and Agentic frameworks.
 
 
 </li>
 </ul>
 
 What You'll Bring
 
 
 
 <ul>
 <li>
 3+ years of professional working experience in full-stack development with a strong focus on backend systems (e.g., Python, Django), and the flexibility to dive into frontend or other areas as needed to move the product forward.
 </li>
 <li>
 Proficiency in Python and PostgreSQL, with solid familiarity in AWS technologies, React, and Next.js.
 </li>
 <li>
 Curiosity to explore new technologies, with the ability to thoughtfully leverage AI to enhance product experiences while understanding its limitations.
 </li>
 <li>
 A strong sense of urgency and ownership in driving projects from design through execution and support.
 </li>
 <li>
 Experience with programming languages commonly used in AI/ML (e.g., Python) and web development.
 </li>
 <li>
 Strong communication and interpersonal skills.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Hybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility
 </li>
 <li>
 Fresh Lunch: Provided on in-office days
 </li>
 <li>
 Commuter Support: $150 monthly reimbursement for transit expenses
 </li>
 <li>
 Health &amp; Wellness: $200 quarterly reimbursement to support your well-being
 </li>
 <li>
 Time Off: Flexible PTO plus 14 company holidays
 </li>
 <li>
 Comprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents
 </li>
 <li>
 Parental Leave: 16 weeks fully paid
 </li>
 <li>
 Retirement &amp; Ownership: 401k plan plus an equity package
 </li>
 <li>
 Team Connection: Quarterly virtual events and an annual in-person summit
 </li>
 </ul>
</div>

Full Stack Software Engineer (Growth)

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

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

California Institute of Technology

<div><div>Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community.<h4 class="jobSectionHeader">
Job Summary</h4>
The Research Engineer will be responsible for the development of a thermal laser epitaxy system, leading the design, integration, and optimization of advanced laser-based deposition equipment for materials growth and thin-film research. The role involves developing and refining thermal and optical subsystems, conducting experimental validation, and translating research requirements into reliable instrumentation. In addition to system development, the Research Engineer will oversee laboratory infrastructure, including equipment maintenance, safety compliance, and coordination of facility upgrades to support ongoing experimental work. This position combines hands-on engineering, experimental research support, and operational management of laboratory resources.<h4 class="jobSectionHeader">
Essential Job Duties</h4><ul><li>
Design and Development of a Thermal Laser Epitaxy System: Lead the design, development, and optimization of a thermal laser epitaxy system for advanced materials growth, including integration of laser, thermal management, vacuum, motion control, and diagnostic subsystems.</li><li>
System Integration and Testing: Assemble, integrate, and commission hardware and software components of the epitaxy platform; conduct performance testing, calibration, and troubleshooting to ensure reliable and repeatable operation.</li><li>
Experimental Support and Process Development: Collaborate with research scientists to develop and refine epitaxial growth processes, design experiments, and analyze system performance to improve thin-film deposition quality and throughput.</li><li>
Instrumentation and Controls Engineering: Develop and maintain system control architecture, including sensors, data acquisition systems, and automation software to support precise control of temperature, laser parameters, and deposition conditions.</li><li>
Maintenance and Reliability Management: Establish preventive maintenance procedures, perform diagnostics and repairs on critical laboratory equipment, and coordinate service and upgrades to minimize downtime.</li><li>
Laboratory Infrastructure Management: Oversee laboratory infrastructure, including vacuum systems, gas delivery systems, cooling systems, power distribution, and safety equipment to ensure proper functionality and compliance with institutional standards.</li><li>
Safety and Compliance: Ensure adherence to laser safety, electrical safety, chemical handling, and laboratory operational protocols; maintain documentation and coordinate with the laboratory safety officer for training as required.</li><li>
Procurement and Vendor Coordination: Identify equipment needs, evaluate technical specifications, manage procurement processes, and coordinate with vendors and service providers for installation, maintenance, and upgrades.</li><li>
Documentation and Reporting: Prepare technical documentation including system designs, operating procedures, maintenance logs, and experimental reports to support reproducibility and knowledge transfer.</li><li>
Collaboration and Project Coordination: Work closely with an interdisciplinary team of researchers to support experimental campaigns, plan facility improvements, and ensure effective operation of laboratory resources.</li></ul><h4 class="jobSectionHeader">
Basic Qualifications</h4><ul><li>
Education: Ph.D. in Mechanical Engineering, Electrical Engineering, Materials Science, Applied Physics, or a closely related engineering or scientific field.</li><li>
Experience: Several years of hands-on experience in research engineering, scientific instrumentation development, or advanced laboratory environments.</li><li>
Engineering Knowledge: Strong understanding of thermal systems, optics/laser systems, vacuum technology, and precision instrumentation commonly used in materials growth or thin-film deposition.</li><li>
System Integration: Experience integrating complex hardware systems, including sensors, motion control, vacuum components, and data acquisition systems.</li><li>
Experimental Skills: Demonstrated ability to design, execute, and analyze laboratory experiments involving advanced materials processing or characterization.</li><li>
Troubleshooting: Strong diagnostic and problem-solving skills for complex electromechanical and optical systems.</li><li>
Technical Documentation: Ability to prepare clear technical documentation including system designs, standard operating procedures, and maintenance records.</li><li>
Laboratory Operations: Experience supporting laboratory infrastructure, including equipment maintenance, calibration, and facility operations.</li><li>
Collaboration and Communication: Ability to work effectively with multidisciplinary research teams and communicate technical information clearly.</li><li>
Safety Awareness: Knowledge of laboratory safety practices, particularly related to lasers, vacuum systems, electrical systems, and hazardous materials.</li></ul><h4 class="jobSectionHeader">
Preferred Qualifications</h4><ul><li>
Physical Vapor Deposition (PVD) Experience: Direct experience with PVD growth techniques such as laser-based deposition, molecular beam epitaxy (MBE), pulsed laser deposition (PLD), electron-beam evaporation, or thermal laser epitaxy/evaporation (TLE).</li><li>
Laser Systems Expertise: Experience designing, integrating, or operating high-power or pulsed laser systems used in research instrumentation.</li><li>
Vacuum and Thin-Film Systems: Advanced knowledge of ultra-high vacuum (UHV) systems, thin-film growth equipment, and associated diagnostics.</li><li>
Automation and Controls: Experience with laboratory automation, control systems, or programming environments (e.g., LabVIEW, Python, MATLAB, or similar tools).</li><li>
Instrumentation Design: Experience designing custom experimental apparatus, including mechanical components, optical layouts, and thermal management solutions.</li><li>
Facility or Laboratory Management: Experience managing shared laboratory facilities, coordinating equipment usage, and overseeing infrastructure improvements.</li><li>
Project Management: Demonstrated ability to manage technical projects, coordinate with vendors, and oversee equipment procurement and installation.</li><li>
Safety Certification or Leadership: Experience serving as a laboratory safety officer or managing compliance for laser or research laboratories.</li><li>
Publication or Research Record: Evidence of contributions to scientific research through technical reports, patents, or peer-reviewed publications related to materials processing or instrumentation.</li></ul><h4 class="jobSectionHeader">
Required Documents</h4><ul><li>
CV</li></ul>
</div><div><div><div><div><h2 class="jobSectionHeader">Hiring Range</h2>

$38.50 to $54.25 per hour 
 
The salary of the finalist(s) selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training.
 
 
As one of the largest employers in Pasadena, CA, Caltech is committed to providing comprehensive benefits to eligible employees and their eligible dependents. Our benefits package includes competitive compensation, health, dental, and vision insurance, retirement savings plans, generous paid time off (vacation, holidays, sick time, parental leave, bereavement, etc.), tuition reimbursement, and more. Non-benefit eligible employees will have access to some benefits such as onsite counseling and sick time. Learn more about our benefits and staff perks. 
<h2 class="jobSectionHeader">
EEO Statement</h2>

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, or national origin, disability status, protected veteran status, or any other characteristic protected by law. 
 
Caltech is a VEVRAA Federal Contractor.

To read more Equal Employment Opportunity (EEO) go to eeoc_self_print_poster.pdf.
</div>
</div></div></div><div><div><div><div><h2 class="jobSectionHeader">Disability Accommodations</h2>
Caltech complies with the Fair Employment and Housing Act (FEHA) and the Americans with Disabilities Act (ADA). We consider reasonable accommodation measures that may be necessary for eligible applicants and employees to perform the essential functions of a position.
If you would like to request an accommodation to complete this application, interview, or otherwise participate in the employee selection process, please contact Caltech Recruiting at employment@caltech.edu.
Additionally, if you do not meet the basic qualifications of a role but believe you can perform the essential functions of the job with reasonable accommodation, please reach out to Caltech Recruiting at employment@caltech.edu.</div></div></div></div></div>

Research Engineer

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)

PEBL

<div></div><div><div><div>Location: Palo Alto, California, United States
Employment Type: FullTime
Location type: Hybrid
Department: Technology
<div>Compensation: $150K &ndash; $185K &bull; Offers Equity
</div><div>Our job titles may span more than one career level. The base pay depends upon many factors, such as training, transferable skills, work experience, business needs, and market demands. The base pay range is subject to change and may be modified.</div></div><div> 
</div></div><div><div>Purpose in Every Position
Pebl puts a world of talent at your fingertips. With our AI-powered Global Work Platform&trade;, companies can hire, pay, and manage employees in 185+ countries&mdash;removing risk, red tape, and guesswork from global growth. Backed by more than a decade of compliance leadership and local expertise, Pebl helps businesses move fast, stay compliant, and scale with confidence. With Pebl, companies everywhere can hire great talent anywhere.
Where Your Work Moves the Needle.
At Pebl, every team member drives our success. Joining us means more than filling a role&mdash;you&rsquo;re accountable for results and impact. Our values guide how we operate, execute, and collaborate across borders. By putting them into action, you&rsquo;ll help us scale faster, compete harder, and lead the future of global work.
What Makes You a Great Fit:
Our mission at Pebl is to simplify global employment, enabling companies to hire, manage, and retain talent anywhere in the world. We are passionate about fostering innovation, collaboration, and diversity in the workplace.
We are looking for a highly skilled and motivated Senior Software Engineer to join our Growth Engineering team. The ideal candidate will be responsible for designing, building, and scaling innovative solutions that enhance our user acquisition, engagement, and retention efforts. You will work closely with cross-functional teams to deliver impactful features and contribute to the success of Pebl&rsquo;s growth objectives.
You will be reporting to the Senior Manager of Software Engineering. This role requires in-office presence in our Palo Alto office - 3 days/week
How You'll Make an Impact:<ul><li>
Collaborate with product managers, designers, and other engineers to build and deliver scalable, high-quality solutions.</li><li>
Architect, develop, and maintain applications and services using TypeScript, Postgres, and AWS in a serverless environment.</li><li>
Optimize systems and processes to drive customer acquisition, retention, and engagement.</li><li>
Lead by example in writing clean, maintainable, and efficient code.</li><li>
Mentor junior team members and foster a culture of continuous learning and improvement.</li><li>
Contribute to technical discussions, design reviews, and code reviews to maintain high engineering standards.</li><li>
Troubleshoot and resolve complex technical issues in production environments.</li><li>
Stay current with emerging technologies and best practices to continuously enhance our technology stack.</li></ul>
Let's Connect If You:<ul><li>
Bachelor's/Master's degree in Computer Science, Engineering, or a related field.</li><li>
5+ years of professional experience in software engineering, with a focus on backend and serverless architecture.</li><li>
Experience with TypeScript, Postgres, and AWS (Lambda, DynamoDB, API Gateway, S3, etc.).</li><li>
Experience with software design patterns, microservices architecture, and RESTful APIs.</li><li>
A lean mindset - Focus on delivering customer value by minimizing waste, optimizing workflows, fostering continuous improvement, and prioritizing in an iterative manner.</li><li>
Strong problem-solving skills and the ability to work effectively in a fast-paced, dynamic environment.</li><li>
Excellent communication and collaboration skills, with a team-oriented mindset.</li><li>
Experience with growth-focused projects or optimizing user journeys is a plus.</li></ul>
#LI-Hybrid
Our Commitment to You
At Pebl, we&rsquo;re committed to supporting our team with comprehensive rewards and benefits designed to meet diverse needs across roles and locations. Our core offerings include:<ul><li>
Flexible Time Off &ndash; Take the time you need to recharge.</li><li>
Parental Leave &ndash; Support for growing families.</li><li>
Health and Dental Insurance &ndash; Where applicable, to cover you and your loved ones.</li><li>
Retirement Savings + Employee Incentive Plan &ndash; Plan for the future while sharing our success.</li></ul>
Please visit our career page for more information.
Pebl is an Equal Opportunity Employer.
We power global teams and believe diverse perspectives drive innovation and impact. Employment decisions at Pebl are based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable law. We&rsquo;re committed to fostering an inclusive culture where every teammate can thrive and do the best work of their career&mdash;anywhere in the world.</div></div></div><div></div>

Senior Software Engineer

Search 10000+ Growth engineer jobs near you this March. New roles added regularly across leading industries. Apply today.