Jobs at Placer.ai

Investigate data quality questions and customer-reported discrepancies using SQL, Python, Databricks, and analytical notebooks. Identify anomalies, root causes, and methodological limitations; design rigorous QA and validation processes; and collaborate with Data Science, Engineering, Product, and Commercial teams. Translate complex findings into clear business explanations, improve monitoring and data quality methodologies, and independently drive ambiguous investigations to resolution while verifying AI-assisted analyses.

Leads financial planning, forecasting, budgeting, and performance analysis across the company. Builds and improves financial models, analyzes KPIs and budget variances, partners with R&D, product, and business teams, strengthens financial controls, and provides insights that guide strategic decisions. The role also leads cross-functional projects and supports reporting and process improvements in a fully remote, high-growth SaaS environment.

Build and own Placer.ai’s first consumer mobile apps across Android and iOS, including scalable backend services, onboarding, consent and privacy flows, analytics, experimentation, fraud controls, and production reliability. Take the product from prototype through launch and growth, manage app-store submissions, integrate data collection technology, use AI-first development practices, and help hire and mentor the growing engineering team.

The Accounts Receivable Specialist manages invoicing, collections, billing reconciliation, customer payment inquiries, tax compliance, e-invoicing, credit holds, bad debt recommendations, and month-end close support. The role coordinates with sales, customer success, deal desk, and accounting teams; maintains accurate records; supports audits; and helps improve order-to-cash processes in a fully remote environment.

Leads revenue marketing strategy and execution across ABM, paid media, SEO/AEO, website conversion, and product-led growth. Owns pipeline forecasting, CAC and funnel efficiency, qualified pipeline generation, attribution, and budget allocation across sales-assisted and self-serve channels. Partners with Sales, RevOps, Product, and Customer Success while building a high-performing demand generation team and embedding AI into reporting and campaign workflows.

Manage end-to-end accounts receivable tasks: approve sales orders, prepare and review invoices, manage e-invoicing portals, perform collections and dunning, reconcile month-end billings between Salesforce and NetSuite, coordinate cross-functionally, support audits, and recommend write-offs or collection actions to optimize cash flow.

Build Placer.ai’s internal AI platform, including autonomous agents, MCP servers, SaaS and internal-tool integrations, authentication infrastructure, Claude plugins, Databricks data pipelines, usage analytics, and scalable platform infrastructure. Establish connector standards, optimize costs, triage integration requests, and implement security and compliance controls while partnering across engineering, data, operations, and business teams.

Owns the marketing operations strategy, systems architecture, data integrity, lead lifecycle, routing, attribution, reporting, governance, and marketing technology roadmap. Partners with sales and revenue operations, manages vendor decisions, ensures compliance, and leads the marketing operations team. The role requires strong HubSpot and Salesforce expertise, analytical judgment, cross-functional leadership, and the ability to align marketing and sales around reliable funnel definitions and performance metrics.

Own custom recurring data feeds from requirements through delivery and maintenance. Develop methodologies and acceptance criteria, build tested PySpark pipelines on Databricks using Airflow and Terraform, and ensure data quality. Partner with customer-facing teams, Solution Engineers, R&D, and Data Science to deliver reusable data products. Explain statistical concepts and limitations to nontechnical audiences while independently managing cross-team deliverables and deadlines.

Sell Placer.ai’s SaaS location analytics platform to large organizations through complex, multi-stakeholder sales cycles. Responsibilities include prospecting and managing pipeline, conducting 20+ platform demos monthly, collaborating with pre- and post-sales teams, maintaining accurate forecasts, and consistently exceeding sales goals. The role is fully remote, requires 10% travel for conferences, and involves managing 30+ weekly meetings when fully ramped.

Manage and grow a mid-market book of B2B software accounts by driving renewals, upsells and cross-sells. Act as customer 'quarterback,' forecast expansion, negotiate multi-year deals, partner cross-functionally, and ensure high customer satisfaction and revenue growth.

Own and evolve Placer.ai’s GCP infrastructure, including multi-cluster GKE, Terraform, Atlantis, and ArgoCD GitOps. Improve CI/CD reliability, developer tooling, production environments, observability, incident response, and system scalability. Operate Kubernetes and production databases and queues while partnering with engineering teams on infrastructure design and deployment. Establish new tools, standards, and frameworks for reliable, high-velocity software delivery.

Design, develop, and maintain scalable big data pipelines and cloud infrastructure for a location analytics platform. Ensure data quality through validation, cleansing, and enrichment; optimize distributed processing and storage performance; implement governance and privacy practices; monitor and troubleshoot pipeline health; collaborate with analysts, data scientists, product managers, and engineers; and mentor junior data engineers.

The Sales Development Representative is responsible for prospecting leads, qualifying them, and setting up demos for account executives. They will engage with prospects through calls, emails, and social media to develop target accounts.

Lead architecture and development of backend microservices powering distributed ETL infrastructure. Build and scale high-throughput batch and real-time data pipelines, optimize performance and reliability, own services through deployment and observability, and collaborate with product, data science, analytics, and R&D teams. Mentor engineers and contribute to system design, API development, testing, and operational improvements.

Design, build, and operate high-scale backend services and data pipelines that power ML-driven location analytics. Own services end-to-end, improve performance, scalability, and reliability, and partner with Product and Data Science to deliver data-driven features while mentoring engineers and raising engineering standards.

Support consulting and sales by extracting, analyzing, and validating location-data; build client-facing tools, maps, and custom reports (ArcGIS, JS, Tableau); collaborate with business teams to prioritize work and deliver reproducible data-driven analyses and recommendations.

Support Placer.ai Consulting with custom analyses and reports using mobile location data. Extract, manipulate, validate data, build client-facing maps and BI dashboards (ArcGIS, JS, Tableau), and communicate insights to internal teams and customers to support decision-making.

Pre-sales technical role that delivers bespoke demos, POCs, and data validations for strategic accounts. Collaborates with Sales on account strategy, translates discovery into ROI narratives, enables post-sale customer success, and informs product roadmap priorities.