Lully

Performance Marketing

• Develop and execute paid acquisition strategy across Google, LinkedIn, and other channels relevant to reaching enterprise and operations buyers.
• Own campaign planning, budget allocation, optimization, and reporting end-to-end.
• Build and manage a testing roadmap across channels, audiences, and creative to drive down CAC and improve ROAS.
• Partner with design and content to build high-converting ad creative and landing pages.
• Set up and maintain tracking, attribution, and performance dashboards so the whole company can see what's working.
• Collaborate with Sales and RevOps to ensure paid pipeline is properly tracked, qualified, and handed off.
• Test and scale new channels as HappyRobot's audience and go-to-market motion evolve.
• Lay the groundwork for a performance marketing team as budget and scope grow, and hire and manage that team over time.

Content Marketing Manager

• Own content strategy end-to-end and tie it directly to pipeline and brand goals
• Set and manage the editorial calendar across blog, social, email, and other channels
• Write, edit, and publish high-quality content that aligns with brand voice and business goals
• Build and execute SEO and GEO driven content programs to drive discoverability and inbound demand
• Partner with Sales and Customer Success to turn customer wins into case studies and proof points that support the sales motion
• Work with Product and founders to translate technical capability into narrative that lands with enterprise buyers
• Collaborate with designers to produce visually compelling assets, or produce visual content independently when needed
• Track content performance and use data to double down on what works
• Lay the groundwork for a content team as the function grows, and hire and manage that team over time

Head of Content

Data Scientist

• You’ll help make data a core part of how we build and improve HappyRobot’s products.
• Work closely with Product, Engineering, and Machine Learning teams to measure changes to our models, agents, and product features.
• Define meaningful metrics, design experiments, and conduct deeper analyses to understand how our agents create value for clients.
• Evaluate A/B tests and model changes to analyze millions of conversations and workflows.
• Turn complex data into clear insights that influence our product and ML roadmaps.
• Define and track product, feature, and agent-level metrics.
• Design, run, and interpret A/B tests for model changes, prompts, agent behavior, workflows, and product features.
• Measure how performance of our agents affects client outcomes, such as task completion, operational efficiency, response quality, and automation rates.
• Connect offline model evaluations with production performance and real-world customer impact.
• Conduct deep analyses across conversations, workflows, and product usage to identify opportunities and explain differences in performance.
• Investigate anomalies and regressions, perform root-cause analyses, and recommend improvements.
• Build statistical models, simulations, and analytical frameworks to support product and ML decisions.
• Partner with Engineering to improve instrumentation, data quality, experimentation systems, and analytical data models.
• Build dashboards and self-serve tools that help teams understand product and agent performance.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders.

• You’ll help make data a core part of how we build and improve HappyRobot’s products.
• You’ll work closely with Product, Engineering, and Machine Learning teams to measure how changes to our models, agents, and product features affect real-world performance.
• You’ll define meaningful metrics, design experiments, and conduct deeper analyses to understand how our agents create value for clients.
• Your work will range from evaluating A/B tests and model changes to analyzing millions of conversations and workflows.
• You’ll turn complex data into clear insights that influence our product and ML roadmaps.

Full-stack Engineer

• Lead the engineering effort to migrate our marketing site and customer funnels out of Webflow and into an ultra-fast, self-hosted frontend built on Next.js/Vercel and Payload CMS.
• Architect dynamic, programmatic landing page templates for high-value VIP accounts that pull tailored assets, logos, and account metrics flawlessly without layout shifts or visual "flicker".
• Implement best-in-class, in-platform tracking that diagnoses existing data gaps and implement robust tracking so our sales teams have total visibility into what accounts are doing inside our platform.
• Seamlessly pipe event data and user traits from PostHog and outbound tooling directly down into Salesforce CRM, optimizing API payloads to maintain immaculate CRM data hygiene.
• Build and maintain our growth experimentation infrastructure.
• Design, launch, and analyze complex server-side A/B tests that target key conversion loops and drive enterprise demo bookings.

Growth Engineer

Support Engineer

• Provide first-line technical support.
• Diagnose and troubleshoot software, hardware, and system issues.
• Guide customers through product setup, configuration, and best practices.
• Escalate complex technical issues to the engineering team while ensuring timely resolution.
• Maintain detailed records of customer interactions and solutions in the support system.
• Create, update, and improve technical documentation, FAQs, and knowledge base articles.
• Identify recurring issues and suggest product improvements.
• Collaborate with cross-functional teams to enhance customer experience.

Technical Support Engineer

Sales Development Rep

• Build and scale the SDR team across EMEA and the Americas — hiring, onboarding, and ramping new reps.
• Coach SDRs daily: call and message reviews, objection handling, and pipeline discipline.
• Design and iterate on outbound playbooks by vertical, persona, and region.
• Own SDR performance metrics — activity, conversion rates, opportunity quality, pipeline contribution.
• Partner with Growth to operationalize signals, account prioritization, and multi-channel sequences.
• Work with Sales leadership on qualification standards, SDR-to-AE handoff processes, and feedback loops.
• Build the enablement infrastructure: training materials, talk tracks, competitive positioning, and onboarding programs.
• Get hands-on when needed — jump on calls, test new messaging, and lead by example.

Enterprise Sales Development Representative – Manager

Engineer

• Customer-Facing Engineering – Work closely with customers from onboarding to ongoing usage, helping them integrate and optimize our AI solutions.
• Technical Development – Build new features, MVPs, and scalable solutions that directly impact customer outcomes.
• Full-Stack Development – Utilize React, TypeScript, Node.js, and Python to develop robust applications and tools.
• AI/ML Applications – Design, implement, and iterate on AI/ML solutions, including LLM prompting, tuning of voices, and transcribers to optimize use cases.
• Integration & APIs – Manage APIs and integrations with third-party systems to ensure seamless functionality for customers.
• Cross-Functional Collaboration – Partner with Product, Engineering, and Customer Success teams to deliver tailored solutions.
• Iterative Problem-Solving – Continuously iterate and improve AI solutions based on customer feedback and evolving requirements.
• Project Management – Prioritize and manage multiple projects under tight deadlines while maintaining high-quality results.

Founding Forward Deployed Engineer, French Speaking

Events

• Develop and execute a global employer brand strategy that aligns with our overarching business goals and hiring needs in various regions across North America, EMEA, APAC, etc.
• Partner with our design and marketing teams to produce engaging recruitment marketing content, including employee spotlight videos, blog posts, and career site updates.
• Own and optimize our presence on key talent platforms.
• Build an internal employee ambassador program, equipping our team members with the tools and content to share their authentic experiences online.
• Track, analyze, and report on the performance of branding campaigns and platform engagement, using data to continuously optimize our approach.
• End-to-end planning and execution of our global recruiting event calendar, including industry conferences, hackathons, university fairs, and internal hiring mixers.
• Handle all event logistics, including vendor negotiations, booth design, swag production, shipping, travel coordination, and on-site management.
• Partner closely with Talent Acquisition, Marketing, and regional business leaders to ensure event messaging is cohesive and staffing is optimized.
• Ensure every touchpoint at our events delivers a premium, inclusive, and memorable experience for prospective candidates.
• Establish KPIs for all events such as leads generated, cost-per-hire, offer acceptance rate and conduct post-event debriefs to measure success and inform future investments.

Performance Marketing

Head of Content

Data Scientist

Data Scientist

Growth Engineer

Growth Engineer

Technical Support Engineer

Technical Support Engineer

Enterprise Sales Development Representative – Manager

Growth Engineer

Founding Forward Deployed Engineer, French Speaking

Founding Forward Deployed Engineer, French Speaking

Global Employer Branding & Events Manager

Forward Deployed Engineer, French Speaking

Forward Deployed Engineer, French Speaking