LatamCent

• Drive organic performance improvements across client websites through technical SEO, on-page optimization, and structured content strategy • Build and maintain accurate tracking infrastructure using GA4 and GTM, ensuring data integrity across client accounts • Lead GEO implementation efforts, improving client visibility across AI-powered search experiences and answer engines • Audit and support Consent Management Platform setups so tracking remains reliable as privacy regulations evolve • Develop repeatable processes and documentation that allow the team to scale SEO execution without losing quality • Identify and prioritize ranking, traffic, and conversion opportunities across the client portfolio

Role Description A well-funded AI company in the healthcare infrastructure space is building the engine that automates some of the most complex workflows in health plan operations. This role exists because the product is working and the team needs a senior engineer who can own significant parts of the AI architecture independently. In the first year, you will go from shipping production pipelines to being the person who defines how the company builds LLM-powered systems at scale. - Architect and ship LLM-powered pipelines that automate complex multi-step clinical decision workflows end-to-end. - Build and maintain back-end services in Python that integrate directly with enterprise health systems (FHIR, HL7, EDI). - Own the quality and reliability of AI outputs through evaluation frameworks, structured outputs, and production monitoring. - Drive integrations with external enterprise environments, handling compliance constraints and audit requirements that come with healthcare data. - Translate requirements from product and customer success teams into scoped technical solutions, working directly with non-technical stakeholders when needed. - Operate across the stack from RAG and document pipelines through to cloud infrastructure and observability tooling. Qualifications - 5+ years of software engineering experience, with at least 2 years shipping AI/ML systems in production (not research or internal tooling). - Hands-on experience building and deploying LLM applications: prompt engineering, RAG pipelines, fine-tuning, eval harnesses. - Strong Python back-end skills: FastAPI, async patterns, typing, pytest. - Experience with cloud infrastructure on AWS, GCP, or Azure. - Proven ability to work with enterprise integration requirements including compliance, auditability, and security constraints. - Comfortable scoping and communicating technical solutions directly with clients or non-technical stakeholders. Nice to Have - Prior work in healthcare systems or HIPAA-governed environments. - Experience with FHIR, HL7, or EDI data formats. - TypeScript, Next.js, or front-end exposure. - Monorepo experience at scale. Tools and Stack - Python - FastAPI - PostgreSQL - Temporal - Redis - AWS (RDS, S3, Bedrock, IAM) - Kubernetes - Terraform - Docker - GitHub Actions - Pydantic AI - OpenAI - Google Gemini - OpenTelemetry - Prometheus - Grafana - Sentry - Logfire - PostHog Details - Location: Remote, Latin America - Time Zone: US overlap expected (confirm window with client) - Salary: Competitive — share your expectations when you apply. - Type: Full-time - Start: ASAP Company Description An early-stage AI company automating utilization management and clinical review workflows for health plans, TPAs, and medical management companies. They integrate directly into existing enterprise systems and operate in a regulated environment where accuracy and auditability are non-negotiable. Small, focused team building infrastructure that is already in production at real clients.

• Lead the full deployment lifecycle for enterprise voice AI integrations, from initial configuration through production go-live and ongoing reliability • Serve as the primary technical contact for a portfolio of enterprise clients, running architecture discussions, troubleshooting escalations, and owning system health • Build and maintain monitoring infrastructure, dashboards, and alerting systems that surface issues before they become client problems • Own telephony integrations across SIP, RTP, and enterprise backend systems, ensuring secure and stable production operation • Translate client requirements into scalable solutions within platform constraints, and bring patterns back to product and engineering to close gaps • Drive a data-informed approach to deployments by designing logging and analytics systems that enable proactive optimization

• Build trusted relationships with enterprise customers and develop a deep understanding of their business priorities and internal processes • Lead onboarding, implementation, and rollout of the Dado platform across customer organizations • Act as the primary point of contact for customers and coordinate across multiple internal and external stakeholders • Develop deep expertise in the Dado platform to recommend the best workflows and solutions for each customer • Troubleshoot product issues, investigate root causes, and provide short-term workarounds while coordinating with engineering teams on long-term fixes • Monitor product adoption and identify opportunities to expand usage across additional teams or use cases • Proactively identify churn risks and work with customers to maintain long-term success and retention • Share customer insights and product feedback with the product team to help shape platform improvements • Manage multiple enterprise accounts while maintaining clear organization and proactive communication

• Run high-volume outbound prospecting via cold calls, email sequences, and LinkedIn to generate qualified pipeline • Qualify inbound and outbound leads against ICP criteria and move them to booked meetings • Book and hand off qualified demos and discovery calls to Account Executives • Research target accounts and identify the right decision-makers before reaching out • Maintain clean, accurate records of all activity, leads, and pipeline stages in CRM • Hit or exceed weekly targets: 5 outbound meetings and 3 SQLs per week

• Support account teams to ensure on-time, high-quality delivery across all client initiatives • Manage client action items, deliverables, promotions, and marketing calendar updates • Track tasks, timelines, and dependencies across multiple projects • Facilitate clear communication between internal teams and external stakeholders • Ensure all owned responsibilities are executed, documented, and communicated effectively • Own and maintain client marketing calendars and promotional schedules • Coordinate with internal teams to align marketing initiatives with agency goals • Act as a key point of contact for execution-related questions and updates • Ensure stakeholders are aligned and informed at every stage • Manage distribution of creative deliverables, ensuring accuracy and on-time delivery • Support new client onboarding by coordinating project setup, timelines, and resources • Gather and organize key information to ensure smooth transitions for new accounts • Collaborate cross-functionally to set clients up for long-term success

• Own the delivery and long-term operation of high-impact backend systems, from architecture to production • Set and evolve backend engineering standards, processes, and technical best practices • Define and actively use KPIs covering system reliability, development speed, data quality, and error rates • Make system-level architectural decisions and clearly communicate tradeoffs to engineering and product stakeholders • Own analytics infrastructure — event taxonomy, governance, and reconciliation across tools like Amplitude and Appsflyer • Ship and maintain experimentation infrastructure including A/B testing, variant assignment, SRM detection, and success metric definition • Debug and maintain user and identity systems across login, logout, multi-device, and reinstall scenarios • Establish automated testing and validation processes that reduce regressions and operational risk • Introduce AI-assisted development workflows where they add leverage, with strong validation and safety mechanisms • Lead and upskill 1–3 engineers, setting technical direction and building engineering capability across the team

• Own day-to-day Marketo operations including campaign setup, QA, testing, deployment, and performance optimization • Build and maintain multi-touch nurture programs, lead scoring models, and A/B testing frameworks • Manage inquiry capture workflows and lead routing processes between Marketo and Salesforce (SFDC) • Monitor system performance and proactively resolve data integrity and automation issues • Partner with digital and web teams to support chat, personalization, and lead capture enhancements • Collaborate with distributed or offshore execution teams to maintain quality, consistency, and delivery timelines • Maintain documentation for campaign workflows, processes, and automation standards • Contribute to the development and ongoing improvement of the global marketing automation roadmap • Align automation strategy with campaign goals, segmentation strategies, and lifecycle marketing initiatives • Continuously optimize lead scoring, targeting, and campaign workflows to improve pipeline conversion • Build and maintain dashboards and reporting frameworks to track campaign performance and ROI • Support global and regional teams with scalable campaign templates and localization workflows • Provide training and enablement to internal stakeholders to ensure consistent adoption of automation best practices

• Own revenue targets for listing subscriptions and value-added services across the new listings organization • Manage 5 direct reports: 4 Team Leads overseeing ~35 sales reps and 1 LDR Supervisor • Drive conversion improvements across the full funnel: contact → qualified lead → opportunity → close • Define outreach sequencing strategy, lead qualification criteria, routing logic, and LDR scripting frameworks • Monitor performance against quota; coach Team Leads to close gaps and develop their reps • Analyze pipeline health, sales velocity, and win/loss trends to surface actionable insights • Partner with Marketing on messaging, objection handling, and A/B testing initiatives • Collaborate with Ops on HubSpot workflows, automation, and lead routing optimization • Provide Marketing with ongoing feedback on lead quality by source and campaign • Coordinate with Customer Success on post-sale handoffs • Lead onboarding strategy for new leaders and build career development paths across the team

• You'll work on the LatamCent WordPress site. That means taking Figma designs and building them out in Elementor, setting up custom post types and fields, configuring filters, and making sure pages load fast and are structured correctly for SEO. You'll get the brief, ask what you need to know, and then get it done on your own.