LAHZO

Data Analyst

• Run discovery with client stakeholders to map their current funnel and systems
• Build the “before” picture for each client ahead of launch
• Stand up UTM conventions, persistent lead IDs, and lead-to-sale matching methods
• Design and run controlled tests
• Define and own Lahzo's proprietary return-on-AI agent sales methodology
• Build and maintain cross-client, cross-vertical benchmarks
• Turn analysis into a clear, defensible narrative
• Architect the measurement framework as a persistent operational engine
• Partner with Product and Marketing to translate the measurement framework into a named, market-facing capability
• Work across every vertical and account size, adapting methodology to a client's systems.

Client Performance & Analytics Manager

Consultant

• Own the end-to-end practice that turns Lahzo's results into proof
• Run discovery with client stakeholders to map their current funnel and systems
• Stand up UTM conventions and design controlled tests
• Define the ROI methodology and framework
• Build and maintain cross-client, cross-vertical benchmarks
• Architect the measurement framework as a persistent operational engine
• Partner with Product and Marketing to translate the measurement framework
• Work across every vertical and account size, adapting methodology

Client Analytics, Attribution Consultant

Sales Development Rep

• Execute targeted outbound campaigns to C-level and VP-level prospects
• Manage daily cadences across email, LinkedIn, and phone outreach
• Qualify inbound interest from ABM and AI-generated leads
• Use AI tools and market data to personalize outreach by industry
• Maintain accurate records in CRM and ensure seamless handoff to AEs

Sales Development Representative – SDR

Implementation Specialist

• Lead client onboarding from pre-kickoff through launch
• Build and maintain project plans, track milestones, flag risks, and keep internal teams aligned
• Conduct kickoff calls, discovery and training sessions, and check-ins with client stakeholders
• Partner with Account Management and the Engineering team to ensure smooth handoffs and accurate client expectations
• Assess each client's CRM environment and document how leads, appointments, and agent attribution should flow end to end
• Translate client requirements and CRM realities into clear technical requirements for engineering and for client technical contacts
• Coordinate and validate API based lead delivery during launch
• Troubleshoot and escalate integration issues with full context
• Contribute to the implementation playbook, onboarding workflows, and standardized integration templates

Client Onboarding & Implementation Specialist

Data Engineer

• Design the ETL, transformation, and modeling patterns the team builds on
• Build and maintain data ingestion pipelines that move data reliably from source into the warehouse
• Build and maintain transformation models — client-specific and shared
• Own data quality monitoring end-to-end: define what we monitor and to what SLA — not just tune thresholds — and decide where to spend the coverage budget
• Understand the full data flow from raw event ingestion through final reporting tables
• Own the complex, ambiguous requests and build the self-serve tooling that keeps the routine queue off engineering's plate

Senior Data Engineer I/II

Product Manager

• Own the product vision.
• Develop and steward a clear, compelling 18-24 month product point of view, not a roadmap.
• Work directly with founders to hold the product's direction and make the hard calls on sequencing.
• Shape the narrative.
• Identify what's working and what's soft.
• Translate between worlds.
• Pressure-test priorities.
• Build shared understanding.

Technical Product Lead

• Own client onboarding end to end.
• Take new clients from signed contract to live AI agent, managing the full technical implementation lifecycle with clear timelines and accountability.
• Integrate client systems.
• Connect CRMs, lead sources, inventory feeds, websites, and third-party platforms to Lahzo's infrastructure — including legacy systems with incomplete or inconsistent data.
• Configure and tune AI agents.
• Set up each client's AI agent with accurate business context, communication style, product knowledge, and behavioral parameters.
• Understand how prompt and configuration changes affect downstream AI behavior before they reach production.
• Translate business needs into technical setup.
• Work directly with account managers and clients to understand their business, and turn that understanding into agent configurations that perform.
• Debug across layers.
• When something isn't working, you trace it through the full stack — integration, data, prompt, and agent behavior — until it's resolved.
• Reduce onboarding time.
• Identify patterns across implementations and work with the team to standardize, document, and accelerate the onboarding process over time.
• Document what you build.

Implementation Engineer

• ETL pipeline development — Build and maintain data ingestion pipelines that move data reliably from source into the warehouse. Own the infrastructure end-to-end.
• Data transformation and table logic — Build and maintain transformation models — client-specific and shared. Handle schema changes, new table configurations, and the ongoing queue of transformation requests.
• Data quality and anomaly detection — Own data quality monitoring end-to-end: setup, threshold tuning, alert triage, and fixes. Extend coverage through assertions and automated alerting. Turn reactive monitoring into proactive coverage.
• Client onboarding infrastructure — Every new Lahzo client gets a dedicated cloud project, service accounts, permissions, and registered data pipelines. You own this process from infrastructure provisioning to first clean pipeline run.
• Pipeline reliability and debugging — Understand the full data flow from raw event ingestion through final reporting tables. Debug issues across the stack end-to-end.
• Ad hoc data requests — First responder for data requests from internal teams — confirming requirements, making schema or pipeline changes, and keeping the queue clear so the team stays focused on higher-leverage work.

Data Engineer I/II

Technical Customer Success

• Manage and update client-specific prompt configurations, ensuring AI agents have accurate, current context about each client's business, offerings, and communication style
• Apply prompt engineering best practices to tune agent behavior—understanding the downstream effects of changes and validating outcomes before they reach clients
• Implement small, targeted code updates based on client requests, working within existing systems rather than building net-new features
• See client problems through from first report to confirmed resolution—digging into conversation logs, prompt configurations, and code until the root cause is found and fixed
• Maintain a deep understanding of the configuration levers available within Lahzo's platform and know when and how to apply each one
• Collaborate with internal teams to triage, prioritize, and resolve client-reported issues in a timely and thorough manner
• Document changes, configurations, and known behaviors to build institutional knowledge across the team

Client Success Engineer

Artificial Intelligence

• Troubleshoot AI agent conversations by reviewing conversations and diagnosing issues
• Write and refine prompts that guide AI agents to deliver accurate responses
• Test and iterate on solutions, experimenting with different prompt structures
• Analyze conversation patterns to identify common failure modes
• Collaborate with engineering and product teams to implement fixes

AI Designer I

Full-stack Engineer

• Design and implement robust, scalable systems across our entire tech stack
• Develop server-side logic, design and manage databases, create responsive front-end interfaces
• Architect solutions using TypeScript, working with SQL, MongoDB, and Redis databases
• Mentor other developers to foster a culture of code quality and best practices
• Collaborate with engineers, product managers, and designers to create robust, novel experiences
• Contribute to team direction with strategic thinking and a passion for continuous learning