Jobs at Personetics

The Backend Engineer will lead technical initiatives, enhance platform capabilities, design scalable systems, and improve engineering processes while collaborating with teams.

Define and evolve the SaaS data architecture across ingestion, ELT, modeling, storage, APIs, governance, and observability. Guide squads, review data models and pipelines, prototype solutions, enforce standards, and ensure scalable, secure, resilient production data systems.

The Senior Product Manager will own the Engage product domain, leading strategy, roadmap, and delivery while managing cross-team dependencies and prioritization.

The Director of Demand Generation will manage pipeline creation, overseeing field marketing, digital strategies, and campaigns while ensuring alignment with sales priorities, driving measurable revenue impact.

Senior technical leader defining and evolving SaaS platform architecture, guiding squads on scalable, reliable designs. Responsibilities include creating architecture artifacts, reviewing designs and code, prototyping, partnering with product, promoting reuse and platform capabilities, driving observability and reliability, and mentoring senior engineers.

Lead end-to-end demand generation to drive pipeline and revenue. Oversee field marketing, ABM, digital, web/digital agency, marketing operations (HubSpot, Salesforce), and PMO. Partner with Sales to align account-focused campaigns, run global events, manage agencies, and measure attribution and ROI.

Manage global bookkeeping for multiple group companies including AP processing, multi-currency payments, bank and intercompany reconciliations, accruals, prepaid expenses, fixed asset depreciation, and vendor tax deduction handling. Use NetSuite and other ERP tools to post journal entries and support cash position and bank relations.

Manage strategic relationships with bank customers, drive platform adoption, enhance customer engagement, identify expansion opportunities, and align internal teams.

Lead a squad responsible for backend development of business-facing applications, ensuring high-quality solutions, mentoring team members, and driving engineering standards.

Provide technical support for enterprise customers: own high-impact incidents end-to-end, troubleshoot APIs, ETL, integrations and data flows, analyze logs and transaction data, drive RCA with R&D/CloudOps/Product, improve monitoring and support processes, support releases and on-call rotations, and communicate with customers.

Partner with C-level and senior leaders to drive people strategy for global R&D: lead org design, workforce planning, change management, HR programs, performance and succession cycles, leverage data and AI to scale HR processes and strengthen leadership and culture.

Design, implement, and maintain cloud-native infrastructure and CI/CD pipelines. Manage multi-cloud and Kubernetes environments, lead on-premises-to-cloud migrations, ensure production reliability, monitor and troubleshoot systems, and support deployment and operation of AI workloads.

Design, build, and scale a BI data platform and ETL/ELT pipelines (batch and real-time). Own data ingestion, transformation, modeling, storage, observability, lineage, and governance. Integrate tools like Airflow, Databricks, streaming platforms, and BI tools. Collaborate with engineers, analysts, and product managers to enable analytics, reporting, and operational product integrations.