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Senior / Staff Software Engineer

Senior / Staff Software Engineer

OscarSan Francisco County, CA, US
19 hours ago
Job type
  • Full-time
Job description

Job Description

Senior Platform Engineer - CRM & Data Systems

Technology Holding Company | Full-Time | Hybrid / Remote | San Francisco, CA | New York, NY | Toronto, Canada

About the Company

We are a fast-growing Series B+ technology holding company that acquires mission-critical software businesses and accelerates their growth through our in-house engineering and go-to-market resources. Founded by industry veterans with backgrounds at top-tier venture capital firms and leading technology companies, we've completed 20+ strategic acquisitions in less than a year since founding.

Backed by institutional investors and notable angels from successful tech companies, we have tens of millions in revenue, strong profitability, and are expanding rapidly across major North American tech hubs.

The Role

Own the architecture and delivery of our CRM and data-driven prospecting platform in a zero-to-one environment. You'll transform complex, ambiguous problems into robust systems, standards, and processes that enable BD, M&A, and portfolio teams to operate at higher velocity. This is an AI-first orchestration role where you'll connect people, data, and systems to automate high-impact workflows and surface critical insights at precisely the right moment.

What You'll Do

Build the Source of Truth

  • Design a unified "system of record + insight" that powers right-time outreach to top prospects
  • Model entities (accounts, people, firms, signals) with sophisticated identity resolution and data quality guardrails
  • Ship self-serve reporting and dashboards with clear SLAs and business definitions

Orchestrate AI-First Workflows

  • Automate multi-step GTM and BD processes across CRM, email, LinkedIn, and messaging platforms
  • Stand up LLM-powered agents for research, content summarization, due-diligence preparation, and intelligent follow-ups
  • Implement RAG pipelines so teams access the right documents, notes, and signals contextually
  • Fine-tune prompts, implement guardrails, and build evaluation harnesses for accuracy, tone, and safety
  • Integrate Data & Systems

  • Build and maintain bidirectional integrations between Salesforce and external data providers
  • Connect APIs, webhooks, and event streams to keep data enriched, clean, and continuously updated
  • Establish pragmatic privacy, reliability, and change-management practices across the platform
  • Prototype Fast, Scale What Works

  • Partner directly with BD and M&A leaders to identify high-friction workflows and define measurable outcomes
  • Deliver MVP automations rapidly, instrument impact metrics, and productionize winning pilots
  • Define scalable standards including runbooks, schemas, system contracts, and SLAs that work across the portfolio
  • Technology Stack

    You'll work across Salesforce and net-new applications with significant input on our greenfield stack :

    GTM Workflows : LinkedIn automation, email platforms, Slack integrations, Clay

    Application Development : Python, TypeScript (Node.js, React), GraphQL / REST APIs

    Data Infrastructure : Supabase / PostgreSQL, event streaming / webhooks, identity resolution systems

    AI & Machine Learning :

  • LLM APIs (OpenAI, Anthropic Claude, etc.)
  • Frameworks : LangChain, LlamaIndex
  • Vector stores : Pinecone, Weaviate, pgvector
  • RAG patterns, prompt engineering, guardrails, evaluation frameworks
  • Orchestration & Reliability : n8n workflow automation, Temporal / Airflow (as needed), OpenTelemetry, Datadog monitoring

    We maintain a greenfield stack where you'll have meaningful input on the tools we choose to deliver business outcomes.

    Requirements

    Experience : 4-10 years in software engineering with meaningful ownership of CRM-centric platforms and / or revenue operations systems

    Technical Expertise :

  • Proven track record building data-driven systems and workflow automation
  • Experience with AI / ML integration, particularly large language models and RAG architectures
  • Strong background in API integrations, event-driven systems, and data pipeline management
  • Experience with CRM platforms (especially Salesforce) and go-to-market tool ecosystems
  • Leadership & Collaboration :

  • Ability to translate ambiguous business requirements into scalable technical solutions
  • Strong partnership skills with cross-functional business stakeholders
  • Track record of rapid prototyping and scaling successful innovations
  • Experience establishing technical standards and best practices
  • Compensation & Benefits

    Base Salary : $200,000 - $250,000 USD (equivalent range in CAD for Canadian candidates)

    Equity : Competitive equity package with significant upside potential (getting in before Series C offers substantial long-term value creation opportunity)

    Benefits : Comprehensive benefits package including health, dental, and vision coverage

    Growth Opportunity : Direct exposure to M&A activities and portfolio company operations

    Work Arrangement

    Hybrid Options : 3 days per week on-site in major tech hubs (Toronto, San Francisco, New York)

    Remote Available : Full remote work available for candidates based elsewhere in Canada

    Visa Requirements : Open to visa transfers; new visa sponsorship not currently available

    The Opportunity

    This role offers the unique opportunity to architect next-generation AI-powered business systems in a high-growth environment. You'll work with proven leadership while building scalable solutions that define how modern companies prospect, engage, and accelerate their growth through intelligent automation.

    Join us in creating the future of data-driven business development and portfolio management.

    Desired Skills and Experience

    Senior Platform Engineer - CRM & Data Systems

    Technology Company | Full-Time | Hybrid / Remote

    About the Company

    We are a fast-growing technology company focused on acquiring and scaling mission-critical software businesses. Our leadership team brings experience from top-tier venture capital firms and leading technology companies. We accelerate growth through our in-house engineering and go-to-market resources.

    Backed by institutional investors and notable industry angels, we've completed numerous acquisitions since founding. With strong revenue growth and profitability, we're expanding rapidly across multiple locations.

    The Role

    Own the architecture and delivery of our CRM and data-driven prospecting platform in a zero-to-one environment. You'll turn complex business problems into scalable systems, standards, and processes that help business development, M&A, and portfolio teams operate more efficiently. This is an AI-first orchestration role where you'll connect people, data, and systems to automate high-impact workflows and surface critical insights at the right moment.

    Key Responsibilities

    Build the Source of Truth

    Design and implement a unified "system of record + insight" that enables strategic outreach to key prospects

    Model entities (accounts, people, firms, signals) with robust identity resolution and data quality controls

    Deliver self-serve reporting and dashboards with clear SLAs and business definitions

    Orchestrate AI-First Workflows

    Automate multi-step go-to-market and business development processes across CRM, email, LinkedIn, and messaging platforms

    Deploy LLM-powered agents for research, content summarization, due-diligence preparation, and automated follow-ups

    Implement RAG (Retrieval-Augmented Generation) pipelines to surface relevant documents, notes, and signals contextually

    Fine-tune prompts, implement guardrails, and build evaluation frameworks for accuracy, tone, and safety

    Integrate Data & Systems

    Build and maintain bidirectional integrations between Salesforce and external data providers

    Connect APIs, webhooks, and event streams to ensure data remains enriched, clean, and continuously updated

    Establish comprehensive privacy, reliability, and change-management practices

    Prototype Fast, Scale What Works

    Collaborate with business development and M&A leaders to identify high-friction workflows and define measurable outcomes

    Rapidly deliver MVP automations, measure impact, and productionize successful pilots

    Define scalable standards including runbooks, data schemas, system contracts, and SLAs

    Technology Stack

    You'll work across established platforms and greenfield applications :

    GTM Tools : LinkedIn automation, email platforms, Slack integrations, Clay

    Development : Python, TypeScript (Node.js, React), GraphQL / REST APIs

    Data Infrastructure : Supabase / PostgreSQL, event streaming, webhooks, identity resolution systems

    AI / ML Platform :

    LLM APIs (OpenAI, Anthropic Claude, etc.)

    Frameworks : LangChain, LlamaIndex

    Vector databases : Pinecone, Weaviate, pgvector

    RAG architectures, prompt engineering, evaluation harnesses

    Orchestration : n8n workflow automation, Temporal / Airflow (as needed), OpenTelemetry, Datadog monitoring

    We maintain a modern, flexible stack where you'll have significant input on technology choices that drive business outcomes.

    Requirements

    Experience : 4-10 years in software engineering with meaningful ownership of CRM-centric platforms and / or revenue operations systems

    Technical Skills :

    Strong background building data-driven systems and workflow automation

    Experience integrating AI / ML capabilities, particularly large language models

    Proven track record architecting RAG systems and prompt engineering

    Expertise in API integrations and event-driven architectures

    Leadership Qualities :

    Ability to transform ambiguous business requirements into scalable technical solutions

    Strong collaboration skills with cross-functional business stakeholders

    Experience prototyping quickly and scaling

    Oscar Associates Limited (US) is acting as an Employment Agency in relation to this vacancy.

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