Palm Ventures

Software Engineer

• Define and execute the company’s technical roadmap, ensuring alignment with product goals and business objectives. Translate product vision into a robust and scalable engineering strategy.
• Lead the development and maintenance of seamless, robust integrations with major enterprise platforms.
• Oversee the development, testing, and production deployment of agentic solutions. Implement best practices for MLOps, monitoring, and performance tuning of AI models in live environments.
• Serve as a leader who actively engages with the codebase and delivery process. This includes leading delivery sprints, performing code reviews, and actively involved in developing proofs of concept (POCs) to validate architectural decisions and set technical standards for the team.
• Recruit, mentor, and retain a distributed engineering team. Foster an engineering culture that balances rapid delivery, operational excellence, collaboration, and continuous learning.
• Establish SDLC processes, automate CI/CD pipelines, elevate QA standards, and develop incident response protocols to enable high velocity, availability and reliability of our platform
• Navigate the inherent ambiguity and resource constraints of a startup environment. Make pragmatic trade-offs between speed, quality, and technical debt.

Vice President of Engineering

Client Partner

• Own, deepen, and expand Localytics' most important enterprise relationships.
• The Client Partner is the single-threaded owner of named enterprise accounts and is accountable for retention, expansion, and long-term value creation.
• This role drives growth by evangelizing Localytics across customer organizations, building executive relationships, and systematically expanding our footprint of new apps, increased allotments, additional products, and services.
• Not a reactive support role; the Client Partner is a growth owner, executive relationship builder, and strategic operator responsible for turning Localytics' best customers into its largest and most durable revenue streams.
• Act as the primary relationship owner across the customer organization—from senior practitioners to VP, SVP, and C-suite sponsors.
• Help enterprise customers deeply understand how their apps perform and how engagement marketing drives business outcomes, using Localytics analytics.
• Guide customers toward building and scaling a world-class engagement marketing program, including best practices, operating models, and measurement.
• Evangelize Localytics across business units, departments, regions, and apps to expand adoption and strategic relevance.
• Establish, own, and execute multi-year account plans aligned to customer objectives and Localytics growth goals.
• Drive complex expansions involving multiple stakeholders, products, apps, and buying centers.
• Partner closely with Product and Engineering to translate stated and unstated customer needs into roadmap influence and solution design.
• Serve as the company's early-warning system, surfacing churn risk, competitive threats, and expansion opportunities before they appear in revenue.
• Enable customers to deploy, adopt, and scale Localytics across their organization—acting as an internal champion and educator.
• Contribute to the development and documentation of enterprise account management playbooks, processes, and best practices.

Enterprise Client Partner

Customer Success Manager

• Own the customer relationship end-to-end
• Make a positive impact on your customer’s lifecycle marketing programs
• Manage a portfolio of Enterprise and Mid-Market customers ($100k–$500k+ ACV), acting as the primary point of contact and trusted advisor.
• Build strong executive and day-to-day relationships across marketing, product, analytics, and engineering stakeholders.
• Develop, maintain, and execute strategic account plans aligned to customer business goals and Localytics value drivers.
• Help customers deeply understand user behavior and engagement drivers using Localytics analytics.
• Guide customers in designing and executing best-in-class engagement marketing strategies, incorporating both experimentation and optimization tactics, to exceed client KPIs
• Proactively identify risks, usage gaps, and growth opportunities using data and customer signals.
• Connect the dots - and customers - to the right Localytics professional services and solutions architecture projects.
• Own renewals and partner closely with Sales on expansion opportunities by demonstrating value and identifying new use cases.
• Deliver strong logo retention and positive net revenue retention.
• Cultivate customer champions and references; support case studies, reviews, and advocacy programs.
• Partner closely with Product and Engineering to translate customer feedback (stated and unstated) into actionable insights and roadmap input.
• Collaborate with Support, Sales, Marketing, and Product to deliver a seamless customer experience.
• Identify opportunities to improve and document Customer Success processes, playbooks, and best practices.
• Contribute to scalable CS motions through experimentation, feedback, and iteration.
• Maintain accurate account health, activity tracking, and forecasting.
• 100% logo retention across managed accounts
• Positive net revenue retention through renewals and expansion
• High product adoption and customer satisfaction
• Consistent execution of account plans tied to measurable customer outcomes
• Continuous improvement of Localytics’ Customer Success playbooks and processes

Full-stack Engineer

• Design and implement multi-agent systems and orchestration layers.
• Build and operate observability stacks (e.g., OpenTelemetry) to monitor agent reasoning paths, tool usage, and performance in real-time.
• Develop and enforce technical safety mechanisms—such as input/output filtering and behavioral boundaries—to mitigate risks like hallucinations, prompt injections, and bias.
• Analyze telemetry and execution traces to create feedback loops for continuous agent improvement and automated evaluation.
• Securely connect agents to external services, unstructured data, and enterprise APIs via robust tool-calling schemas.
• Implement fallback mechanisms, human-in-the-loop (HITL) checkpoints, and automated recovery for agentic failures.
• Implement best practices for MLOps, monitoring, and performance tuning of AI models in live environments
• Automate SDLC processes and CI/CD pipelines, elevate QA standards, and develop incident response protocols to enable high velocity, availability and reliability of our platform

Vice President of Engineering

Enterprise Client Partner

Customer Success Manager

Principal Engineer