Lavendo

Artificial Intelligence

• Own end-to-end planning and execution of regional field marketing programs that generate measurable pipeline.
• Partner closely with Sales to drive pre-event targeting, meeting booking, and post-event follow-ups.
• Build feedback loops with Sales to track pipeline performance and optimize ROI.
• Develop scalable playbooks, processes, and reporting frameworks.
• Analyze event performance (pipeline attribution, conversion rates, ROI) to guide strategy.
• Manage vendors, budgets, and multiple programs across regions.

Senior Field Marketing Manager, Voice AI

Account Manager

• Prospect and sign new partners across dental, healthcare, restaurants, home services, and adjacent verticals
• Own the full partner lifecycle: recruitment, onboarding, joint business planning, and health monitoring
• Run QBRs, pipeline reviews, and churn recovery plans
• Monitor partner agent deployment health; flag and resolve at-risk accounts proactively
• Drive partner engagement via promotions, referral programs, and tiered incentive structures
• Feed structured partner insights back to the product team; act as the internal voice of the partner

Partner Account Manager, Voice AI

QA Engineer

• Conduct manual QA software testing for web applications
• Utilize Jira for project management and issue tracking
• Collaborate with a diverse team of engineers and other professionals
• Contribute to the development and improvement of data privacy and security solutions
• Adapt quickly to new challenges in a fast-paced startup environment
• Provide feedback and actively participate in company life

Quality Assurance Engineer, Data Privacy

Implementation Specialist

• Onboarding new customers and ensuring successful implementation of solutions
• Developing and maintaining strong relationships with assigned accounts
• Providing product training and support to customers
• Monitoring customer health and addressing issues proactively
• Collaborating with internal teams to improve customer experience
• Tracking and reporting on key performance metrics
• Focus exclusively on customer satisfaction, training, and experience - you're not expected to carry any sales quota or revenue targets

Implementation Manager, Data Privacy

Solutions Engineer

• Run the technical side of the sales process: discovery, solution outline, tailored demos, and POCs
• Deliver live demos and technical presentations to both engineers and executives
• Configure and troubleshoot demo/POC environments using REST APIs, SQL, and a major cloud platform (AWS or Azure)
• Do light scripting or coding (JavaScript, Python, SQL, or similar) to wire up integrations and customize demos
• Define POC success criteria, keep stakeholders aligned, and drive to technical sign-off
• Create simple diagrams and documentation that explain how the platform fits into a customer’s stack
• Feed what you see in the field back to product and engineering

Solutions Engineer, AI Privacy Platform

• Act as a trusted advisor to clients, providing technical expertise and guidance throughout engagements
• Conduct PoCs, workshops, presentations, and training sessions on GPU cloud technologies and best practices
• Collaborate with clients to understand their business requirements and develop solution architectures
• Design and document Infrastructure as Code solutions, technical documentation, and how-tos
• Help customers optimize pipeline performance and scalability
• Serve as a single point of expertise for customer scenarios across product, technical support, and marketing teams
• Assist with marketing efforts during events such as hackathons, conferences, and webinars

Solutions Architect, AI Cloud

Full-stack Engineer

• Build and scale high-throughput APIs and services (50M+ daily events)
• Own features end-to-end, from design to production
• Improve system performance, reliability, and security
• Contribute to architecture decisions and technical direction
• Mentor junior engineers as you grow into a leadership role

Senior Software Engineer, Data Privacy Platform

Account Executive

• Consistently meet or exceed sales quotas and KPIs
• Conduct in-person sales presentations to qualified warm leads (pitch and present the company)
• Negotiate and close deals with new and existing clients, maintaining a high conversion rate
• Collaborate with cross-functional teams to deliver tailored client solutions
• Drive to prospective customers' homes in the Greater Sacramento Area to take measurements using advanced tech devices
• Utilise AI, CRM, and sales automation tools to track sales performance and manage the pipeline

Sales Consultant, Bilingual EN/RU

• Build and maintain backend services and full-stack features
• Develop scalable APIs and systems handling high-volume traffic
• Improve system performance, reliability, and security
• Collaborate with a distributed team with partial ET time zone overlap
• Contribute to technical decisions and architecture as you grow in the role

Software Engineer, Data Privacy

Business Development Rep

• Run high-volume outbound across phone, email, and LinkedIn into a curated list of CPG brands, packaging companies, and adjacent manufacturers
• Book qualified discovery meetings for the founder (target: minimum 2 meetings/week after a 2-week onboarding ramp)
• Own the CRM (HubSpot): clean pipeline, sequence cadences, log every call, keep data tight
• Research target accounts and identify the right buyer — Creative Director, Packaging Engineer, Formulator, Procurement, Supply Chain, or Account Executive — depending on company
• Iterate weekly on messaging with the founder: what objections came up, what hooks worked, what stories resonate
• When given pre-built target lists, work them ruthlessly. When given a blank ICP, source your own.
• Bring market signal back to the founder: what buyers care about, what they push back on, what features they ask about

Founding BDR, AI Packaging SaaS

Risk

• Own the revenue number — lead and grow the team quota while setting the standard for performance and execution
• Lead and scale a hunter team — inherit a team of experienced, outbound-focused AEs and BDRs, with a plan to double sales headcount in 2026
• Drive outbound pipeline — this team doesn't wait for leads; you'll champion a proactive, self-sourced pipeline culture where the team owns its own destiny
• Drive enterprise deals — engage CISOs, CPOs, CIOs, and VPs of Security at mid-market and Fortune 1000 companies across the full sales cycle
• Refine the playbook — define and document the outbound sales process, ICP targeting, prospecting cadences, messaging, and objection handling
• Close your own deals — be hands-on in strategic opportunities; earn commissions on deals you personally bring across the finish line
• Collaborate cross-functionally — work closely with the Founder/CEO, product, and marketing teams to sharpen positioning and sales narratives
• Forecast and report — maintain accurate pipeline visibility and communicate performance metrics to leadership
• Hire and develop talent — actively recruit, onboard, and coach the next generation of high-performing hunters

Head of Sales, Privacy Governance

Chief Technology Officer

• Own and define end-to-end technical architecture of the platform
• Write and ship production code daily alongside the founding team
• Architect and scale AI agent infrastructure for legal workflows — billing, financial layers, document automation, collections, and client collaboration
• Build and scale the engineering team from scratch — hiring, mentoring, and establishing culture
• Partner with founders on product roadmap, fundraising narrative, and company strategy
• Ensure security, compliance, and scalability of a document-heavy, regulated-industry platform
• Drive rapid iteration cycles and maintain startup velocity through seed close and beyond

Founding CTO – AI Legal Tech

Backend Engineer

• Support the Enterprise Integrations team in managing and executing integration processes from design to deployment
• Collect and define requirements from internal stakeholders, estimate task complexity, and plan delivery timelines
• Design and implement reliable, scalable integration solutions using Python, REST, gRPC, Apache Kafka, Redis, and SQL
• Conduct regular code reviews and maintain a consistent, high-quality code base
• Strictly follow delivery deadlines, ensuring production readiness and technical excellence
• Monitor and stabilize integrations post-deployment using observability tools like Grafana
• Actively identify and resolve blockers to maintain project momentum, demonstrating a proactive “get things done” approach

Senior Python Engineer

• Understand partner and customer business needs and translate them into technical specifications and deployment plans
• Configure and customize AI agent solutions, ensuring seamless integration with existing platforms (CRMs, booking tools, payment systems)
• Own implementations end-to-end — from kickoff through go-live — managing stakeholders and driving projects to completion
• Serve as the technical point of contact in partner conversations; present solutions confidently with minimal oversight
• Identify and mitigate technical risks throughout the implementation lifecycle
• Contribute to building scalable deployment practices as the team grows

Solutions Architect – AI Agents Deployment

• Lead end-to-end pre-sales engagements: discovery, solution design, tailored demos, and POC management
• Deliver compelling, customized product demonstrations to technical audiences (architects, engineers) and executive stakeholders (CIOs, CISOs)
• Configure and troubleshoot demo environments using REST APIs, SQL, JavaScript, Python, and cloud infrastructure (AWS/Azure)
• Own proof-of-concept engagements from scoping through technical validation and sign-off
• Partner closely with the sales team to respond to RFIs/RFPs, develop architecture diagrams, and produce technical documentation (SOWs, flow charts)
• Serve as the technical bridge between prospects and the product/engineering team — capturing and translating market feedback
• Support integration discussions across cloud environments and enterprise tech stacks (IAM, SSO, encryption, NoSQL, big data)