Oscar
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.
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.