Profound is the marketing platform for the age of AI search. The way brands reach people is being rewritten — AI models like ChatGPT, Perplexity, and Google AI Mode are now the answer layer between companies and their customers. We built the platform marketers use to understand, measure, and win in that world: the analytics, intelligence, and agent automation that turn AI search from a threat into a competitive advantage.
We went from 0 to a $1B valuation in 18 months. Revenue grew 100x last year. Our customers include 15% of the Fortune 500 like Walmart, Wayfair and U.S. Bank, and innovators like Ramp, MongoDB, and Figma. We are backed by Sequoia, Kleiner Perkins, LSVP, and Khosla Ventures — and we are moving fast enough that the people joining now are building the playbook everyone who comes after them will run.
Profound is on a mission to help companies understand and control their AI presence. We are looking for a Software Engineer, Data Platform to design, build, and scale the infrastructure that powers data across our organization.
You will architect scalable platforms and develop tools and frameworks that enable data scientists, analytics engineers, and machine learning engineers, while building the foundation for analytics, experimentation, and ML-powered features. This is a great opportunity for someone who enjoys building robust systems, solving complex technical challenges, and enabling teams through great platform design.
WHAT YOU’LL DO
- Design and build platform infrastructure that supports machine learning, analytics, and software engineers, as well as data scientists across the company
- Develop tools and frameworks for data ingestion, transformation, quality, and observability
- Architect scalable, reliable systems using Snowflake, Clickhouse, AWS, dbt, and Dagster
- Build governance, access control, and data quality systems that scale with the organization
- Enable MLOps by creating infrastructure that supports model development and productionization
- Drive technical decisions around platform architecture, tool selection, and data patterns
- Collaborate with product, engineering, and data teams to understand needs and deliver impactful solutions
WHO YOU ARE
- Proven experience building platforms for engineers and data scientists in areas such as product analytics and experimentation, data discovery and catalog, data quality and observability, or governance and access control
- Experience designing and operating large-scale distributed data systems
- Expertise with analytics and lakehouse technologies including ClickHouse, Tinybird, Snowflake, or Iceberg
- Strong cloud experience with AWS, GCP, or Azure
- Experience with data governance, reliability, and secure data operations
- Excellent communication skills with the ability to influence across engineering and product teams
- Experience with or interest in MLOps and supporting machine learning workflows in production
- Strong problem-solving skills and comfort operating in a fast-paced, impact-driven environment
- Motivated by access to rare and interesting AI data based on real human interactions with large language models
- Excited by the opportunity to own and shape Profound’s data platform at an early stage
- Interested in working on meaningful problems at the intersection of AI and marketing
- Comfortable in a fast-moving culture with autonomy, trust, and room to grow
- Drawn to competitive compensation and meaningful equity
LOCATION
This is an on-site role based in our NYC or SF office, designed for builders who thrive on speed, iteration, and meaningful impact. We are happy to support visa sponsorship for qualified international candidates.
For this role, the expected base salary range is $140,000 to $260,000 (NYC and SF). Comp may vary by location. Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.
#LI-PRO
Note: All official communication from Profound will come from a @tryprofound.com email address. If you're contacted by anyone using a different domain, please disregard and report it as spam.
Listed by Profound for a position based in the United States. Employers on this board attest they are hiring domestically.
Profound is the marketing platform for the age of AI search. The way brands reach people is being rewritten — AI models like ChatGPT, Perplexity, and Google AI Mode are now the answer layer between companies and their customers. We built the platform marketers use to understand, measure, and win in that world: the analytics, intelligence, and agent automation that turn AI search from a threat into a competitive advantage.
We went from 0 to a $1B valuation in 18 months. Revenue grew 100x last year. Our customers include 15% of the Fortune 500 like Walmart, Wayfair and U.S. Bank, and innovators like Ramp, MongoDB, and Figma. We are backed by Sequoia, Kleiner Perkins, LSVP, and Khosla Ventures — and we are moving fast enough that the people joining now are building the playbook everyone who comes after them will run.
As an Infrastructure Engineer, you will build and scale the systems that power our rapid growth. You will ensure our infrastructure is highly available, cost-effective, and able to handle explosive traffic and compute demands. You will work closely with engineers across product, research, and operations to design scalable architectures, streamline deployments, and improve observability.
What you’ll do
Design and maintain core infrastructure across cloud environments
Build infrastructure-as-code workflows to automate deployments and scaling
Improve monitoring, logging, and alerting systems to maintain reliability
Manage CI/CD pipelines to ensure seamless deployments
Support disaster recovery planning and ensure high availability of systems
Partner with product and research teams to design architectures that scale with workload demands
Identify and fix performance bottlenecks in compute, storage, and networking
Implement security best practices and compliance frameworks across infrastructure
Who you are
Strong experience with cloud platforms, with AWS preferred
Proficiency with infrastructure-as-code tools such as Terraform
Deep experience with containers and orchestration, including Docker and Kubernetes
Solid understanding of distributed architectures
Programming proficiency in Python and Rust, or willingness to learn Rust quickly
Proven ability to ship reliable infrastructure in production environments
Growth mindset and eagerness to thrive in a hyper-growth, high-ownership environment
Experience with high-throughput, low-latency systems
Database scaling and optimization experience
Observability and monitoring expertise
Network architecture and performance tuning experience
Security and compliance experience
Location
This is an on-site role based in our NYC or SF office, designed for builders who thrive on speed, iteration, and meaningful impact. We are happy to support visa sponsorship for qualified international candidates.
For this role, the expected base salary range is $140,000 to $260,000 (NYC and SF). Comp may vary by location. Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.
Note: All official communication from Profound will come from a @tryprofound.com email address. If you're contacted by anyone using a different domain, please disregard and report it as spam.
Listed by Profound for a position based in the United States. Employers on this board attest they are hiring domestically.
Profound is the marketing platform for the age of AI search. The way brands reach people is being rewritten — AI models like ChatGPT, Perplexity, and Google AI Mode are now the answer layer between companies and their customers. We built the platform marketers use to understand, measure, and win in that world: the analytics, intelligence, and agent automation that turn AI search from a threat into a competitive advantage.
We went from 0 to a $1B valuation in 18 months. Revenue grew 100x last year. Our customers include 15% of the Fortune 500 like Walmart, Wayfair and U.S. Bank, and innovators like Ramp, MongoDB, and Figma. We are backed by Sequoia, Kleiner Perkins, LSVP, and Khosla Ventures — and we are moving fast enough that the people joining now are building the playbook everyone who comes after them will run.
As a Forward Deployed Engineer at Profound, you will be the technical bridge between our engineering team and our Fortune 500 clients. You will combine deep engineering expertise with exceptional communication skills to ensure our most strategic customers successfully integrate and maximize value from our platform.
You will write production code, architect custom integrations, and solve complex technical challenges while sitting in client meetings, presenting to CTOs, and translating between engineering and executive stakeholders. This is not a support role. You are a full-stack engineer who loves working directly with customers.
What you’ll do
Design and build custom integrations connecting Profound’s platform to enterprise systems
Write production-quality code in TypeScript, Python, and Next.js for client-specific features
Architect solutions that handle enterprise-scale data volumes and security requirements
Debug complex issues spanning client infrastructure and Profound systems
Optimize performance for clients processing millions of daily queries
Lead technical discussions with client engineering teams and C-suite executives
Join client calls to understand requirements and translate them into technical solutions
Present technical architectures and implementation plans to diverse audiences
Build trusted relationships with technical champions at Fortune 500 companies
Conduct technical workshops and training sessions for client teams
Identify patterns in client needs and partner with Product to build scalable solutions
Contribute to core product development based on field insights
Build reusable components and libraries for common integration patterns
Document technical solutions and create implementation guides
Influence the product roadmap with direct customer feedback
Lead enterprise proofs of concept that unlock multi-million dollar contracts
Design data pipelines integrating with client business intelligence tools and data warehouses
Build custom dashboards and reporting solutions for executive stakeholders
Develop automation workflows connecting AI insights to business processes
Who you are
2 or more years of software engineering experience working with production systems
Strong proficiency in TypeScript, Next.js, and React
Solid Python experience for backend development and data processing
Experience with REST APIs and system integration patterns
Database experience including PostgreSQL and time-series databases
Comfort working with cloud platforms, with AWS preferred
Rust experience is a plus but not required
Exceptional written and verbal communication skills
Ability to explain complex technical concepts to non-technical stakeholders
Comfort presenting to and building relationships with executive audiences
Experience working directly with enterprise clients
Strong problem-solving skills under pressure
Ability to context-switch across multiple client engagements
Strong customer obsession and genuine care for client success
Engineering rigor with a focus on clean, maintainable, production-ready code
Strategic thinking that connects technical work to business impact
Ownership mentality with end-to-end responsibility for client relationships
Growth mindset with comfort operating in ambiguity and rapid change
Motivated by shaping how Fortune 500 companies adapt to the AI revolution
Energized by visibility across customers that informs product and go-to-market strategy
Location
This is an on-site role in our NYC or SF office, designed for builders who thrive on speed, iteration, and meaningful impact. We are happy to support visa sponsorship for qualified international candidates.
For this role, the expected base salary range is $140,000 to $260,000 (NYC and SF). Comp may vary by location. Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.
#LI-PRO
Note: All official communication from Profound will come from a @tryprofound.com email address. If you're contacted by anyone using a different domain, please disregard and report it as spam.
Listed by Profound for a position based in the United States. Employers on this board attest they are hiring domestically.
Profound is the marketing platform for the age of AI search. The way brands reach people is being rewritten — AI models like ChatGPT, Perplexity, and Google AI Mode are now the answer layer between companies and their customers. We built the platform marketers use to understand, measure, and win in that world: the analytics, intelligence, and agent automation that turn AI search from a threat into a competitive advantage.
We went from 0 to a $1B valuation in 18 months. Revenue grew 100x last year. Our customers include 15% of the Fortune 500 like Walmart, Wayfair and U.S. Bank, and innovators like Ramp, MongoDB, and Figma. We are backed by Sequoia, Kleiner Perkins, LSVP, and Khosla Ventures — and we are moving fast enough that the people joining now are building the playbook everyone who comes after them will run.
As an Infrastructure Engineer, you will build and scale the systems that power our rapid growth. You will ensure our infrastructure is highly available, cost-effective, and able to handle explosive traffic and compute demands. You will work closely with engineers across product, research, and operations to design scalable architectures, streamline deployments, and improve observability.
WHAT YOU’LL DO
- Design and maintain core infrastructure across cloud environments
- Build infrastructure-as-code workflows to automate deployments and scaling
- Improve monitoring, logging, and alerting systems to maintain reliability
- Manage CI/CD pipelines to ensure seamless deployments
- Support disaster recovery planning and ensure high availability of systems
- Partner with product and research teams to design architectures that scale with workload demands
- Identify and fix performance bottlenecks in compute, storage, and networking
- Implement security best practices and compliance frameworks across infrastructure
WHO YOU ARE
- Strong experience with cloud platforms, with AWS preferred
- Proficiency with infrastructure-as-code tools such as Terraform
- Deep experience with containers and orchestration, including Docker and Kubernetes
- Solid understanding of distributed architectures
- Programming proficiency in Python and Rust, or willingness to learn Rust quickly
- Proven ability to ship reliable infrastructure in production environments
- Growth mindset and eagerness to thrive in a hyper-growth, high-ownership environment
- Experience with high-throughput, low-latency systems
- Database scaling and optimization experience
- Observability and monitoring expertise
- Network architecture and performance tuning experience
- Security and compliance experience
LOCATION
This is an on-site role based in our NYC or SF office, designed for builders who thrive on speed, iteration, and meaningful impact. We are happy to support visa sponsorship for qualified international candidates.
For this role, the expected base salary range is $140,000 to $260,000 (NYC and SF). Comp may vary by location. Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.
Note: All official communication from Profound will come from a @tryprofound.com email address. If you're contacted by anyone using a different domain, please disregard and report it as spam.
Listed by Profound for a position based in the United States. Employers on this board attest they are hiring domestically.
Profound is the marketing platform for the age of AI search. The way brands reach people is being rewritten — AI models like ChatGPT, Perplexity, and Google AI Mode are now the answer layer between companies and their customers. We built the platform marketers use to understand, measure, and win in that world: the analytics, intelligence, and agent automation that turn AI search from a threat into a competitive advantage.
We went from 0 to a $1B valuation in 18 months. Revenue grew 100x last year. Our customers include 15% of the Fortune 500 like Walmart, Wayfair and U.S. Bank, and innovators like Ramp, MongoDB, and Figma. We are backed by Sequoia, Kleiner Perkins, LSVP, and Khosla Ventures — and we are moving fast enough that the people joining now are building the playbook everyone who comes after them will run.
As a Forward Deployed Engineer at Profound, you will be the technical bridge between our engineering team and our Fortune 500 clients. You will combine deep engineering expertise with exceptional communication skills to ensure our most strategic customers successfully integrate and maximize value from our platform.
You will write production code, architect custom integrations, and solve complex technical challenges while sitting in client meetings, presenting to CTOs, and translating between engineering and executive stakeholders. This is not a support role. You are a full-stack engineer who loves working directly with customers.
WHAT YOU’LL DO
- Design and build custom integrations connecting Profound’s platform to enterprise systems
- Write production-quality code in TypeScript, Python, and Next.js for client-specific features
- Architect solutions that handle enterprise-scale data volumes and security requirements
- Debug complex issues spanning client infrastructure and Profound systems
- Optimize performance for clients processing millions of daily queries
- Lead technical discussions with client engineering teams and C-suite executives
- Join client calls to understand requirements and translate them into technical solutions
- Present technical architectures and implementation plans to diverse audiences
- Build trusted relationships with technical champions at Fortune 500 companies
- Conduct technical workshops and training sessions for client teams
- Identify patterns in client needs and partner with Product to build scalable solutions
- Contribute to core product development based on field insights
- Build reusable components and libraries for common integration patterns
- Document technical solutions and create implementation guides
- Influence the product roadmap with direct customer feedback
- Lead enterprise proofs of concept that unlock multi-million dollar contracts
- Design data pipelines integrating with client business intelligence tools and data warehouses
- Build custom dashboards and reporting solutions for executive stakeholders
- Develop automation workflows connecting AI insights to business processes
WHO YOU ARE
- 2 or more years of software engineering experience working with production systems
- Strong proficiency in TypeScript, Next.js, and React
- Solid Python experience for backend development and data processing
- Experience with REST APIs and system integration patterns
- Database experience including PostgreSQL and time-series databases
- Comfort working with cloud platforms, with AWS preferred
- Rust experience is a plus but not required
- Exceptional written and verbal communication skills
- Ability to explain complex technical concepts to non-technical stakeholders
- Comfort presenting to and building relationships with executive audiences
- Experience working directly with enterprise clients
- Strong problem-solving skills under pressure
- Ability to context-switch across multiple client engagements
- Strong customer obsession and genuine care for client success
- Engineering rigor with a focus on clean, maintainable, production-ready code
- Strategic thinking that connects technical work to business impact
- Ownership mentality with end-to-end responsibility for client relationships
- Growth mindset with comfort operating in ambiguity and rapid change
- Motivated by shaping how Fortune 500 companies adapt to the AI revolution
- Energized by visibility across customers that informs product and go-to-market strategy
LOCATION
This is an on-site role in our NYC or SF office, designed for builders who thrive on speed, iteration, and meaningful impact. We are happy to support visa sponsorship for qualified international candidates.
For this role, the expected base salary range is $140,000 to $260,000 (NYC and SF). Comp may vary by location. Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.
#LI-PRO
Note: All official communication from Profound will come from a @tryprofound.com email address. If you're contacted by anyone using a different domain, please disregard and report it as spam.
Listed by Profound for a position based in the United States. Employers on this board attest they are hiring domestically.
Profound is the marketing platform for the age of AI search. The way brands reach people is being rewritten — AI models like ChatGPT, Perplexity, and Google AI Mode are now the answer layer between companies and their customers. We built the platform marketers use to understand, measure, and win in that world: the analytics, intelligence, and agent automation that turn AI search from a threat into a competitive advantage.
We went from 0 to a $1B valuation in 18 months. Revenue grew 100x last year. Our customers include 15% of the Fortune 500 like Walmart, Wayfair and U.S. Bank, and innovators like Ramp, MongoDB, and Figma. We are backed by Sequoia, Kleiner Perkins, LSVP, and Khosla Ventures — and we are moving fast enough that the people joining now are building the playbook everyone who comes after them will run.
Profound is building the foundational agentic layer for modern companies. Our Agent Runtime is the execution backbone that turns complex AI work into reliable, composable workflows. You will shape the core primitives, execution, scheduling, state, and streaming, that power intelligent systems at scale.
WHAT YOU’LL DO
- Build core workflow engine primitives used to orchestrate agents, tools, and dataflows
- Own the real-time control plane, including streaming events, reliable job orchestration, idempotency, and replay
- Ship high-leverage systems that turn prototypes into production-grade, scalable workflows
- Design and ship Rust-first backend services and clean APIs for creating, executing, and supervising graph or DAG workflows
- Build reliable job orchestration with multiple response modes, including blocking, streaming, and fire-and-forget, with durable state
- Strengthen tenant isolation, security, and access patterns across the platform
- Improve runtime behavior including scheduling, backpressure, timeouts, retries, and idempotency
- Evolve schemas and repositories and own migrations, indexing, and query performance
- Instrument with meaningful telemetry and raise the bar on testing and operational excellence
- Partner closely with product, frontend, and data teams to deliver high-impact features
WHO YOU ARE
- Strong portfolio or GitHub showing backend or systems design depth
- Proficient in Rust and comfortable owning services end-to-end in production
- Solid with SQL and relational data modeling, with hands-on experience using PostgreSQL
- Experience with distributed systems patterns including messaging or streaming, retries, idempotency, and backpressure
- Familiar with caching and state systems such as Redis and real-time delivery using SSE or WebSockets
- Strong grasp of API authentication and authorization, multi-tenancy, and security best practices
- Pragmatic, collaborative, and product-minded, thriving in a fast, in-person environment
- Experience building or operating workflow engines, schedulers, or agent runtimes
- Experience with Postgres RLS and data governance at scale
- Practical exposure to containerization, CI or CD, and cloud environments
- Background integrating external AI or model providers and securing provider configurations
- Experience working with Rust 2024, PostgreSQL, Redis, Kafka or NATS, containers, modern CI or CD, and real-time streaming to clients
LOCATION
This is an on-site role based in our NYC office, designed for builders who thrive on speed, iteration, and meaningful impact. We are happy to support visa sponsorship for qualified international candidates.
For this role, the expected base salary range is $140,000 to $260,000. Comp may vary by location. Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.
Note: All official communication from Profound will come from a @tryprofound.com email address. If you're contacted by anyone using a different domain, please disregard and report it as spam.
Listed by Profound for a position based in the United States. Employers on this board attest they are hiring domestically.
Profound is the marketing platform for the age of AI search. The way brands reach people is being rewritten — AI models like ChatGPT, Perplexity, and Google AI Mode are now the answer layer between companies and their customers. We built the platform marketers use to understand, measure, and win in that world: the analytics, intelligence, and agent automation that turn AI search from a threat into a competitive advantage.
We went from 0 to a $1B valuation in 18 months. Revenue grew 100x last year. Our customers include 15% of the Fortune 500 like Walmart, Wayfair and U.S. Bank, and innovators like Ramp, MongoDB, and Figma. We are backed by Sequoia, Kleiner Perkins, LSVP, and Khosla Ventures — and we are moving fast enough that the people joining now are building the playbook everyone who comes after them will run.
As an AI and ML Engineer, you will design, build, and ship large scale NLP and LLM systems that power classification, ranking, clustering, topic discovery, and content generation. You will own workflows from data to deployment, partner across product and engineering, and turn real user conversations into production features and publish-ready content that drives visibility, engagement, and conversion.
WHAT YOU’LL DO
- Build and deploy NLP models at scale for classification, ranking, clustering, topic extraction, and summarization
- Design LLM workflows for context and content generation end to end, including topic discovery, brief creation, outlines and drafts, revision loops, and publish-ready assets
- Develop prompt and template libraries aligned to brand voice and channel, including blogs, landing pages, help docs, and ads, with retrieval for evidence-grounded generation and citations
- Create evaluation frameworks for generated content, including factuality, coverage, tone, safety, and originality, with rubric-based LLM evaluations, human-in-the-loop review, and red teaming
- Instrument content performance across AEO and SEO visibility, engagement, and conversion, and run experiments to improve quality, cost, and latency
- Transform large text datasets into production features and signals that drive product insights
- Partner with engineering to instrument events, maintain data pipelines, and uphold high data quality and observability
- Collaborate with product, data, and go-to-market teams on success metrics and experiments that move customer-facing KPIs
WHO YOU ARE
- Proven experience shipping machine learning systems in production at scale, especially with large text data
- Hands-on experience building LLM content systems including prompting, templating, retrieval or RAG, guardrails, and evaluations
- Fluency in SQL and strong Python skills with modern machine learning tooling
- Strong grasp of machine learning and generation quality metrics, with the ability to design offline and online evaluations and monitoring
- Ability to innovate when off-the-shelf solutions do not fit the problem
- Experience working in cross-functional, high-performance teams
- Clear communication with both technical and non-technical partners
- Ownership mindset and comfort operating in a fast-paced environment
- Excited by ownership of the entire product analytics function at an early stage company
- Motivated by shaping how usage is measured and how product decisions are made
- Interested in close collaboration with product, engineering, and go-to-market teams
- Comfortable in a fast-paced environment with trust, autonomy, and responsibility
- Drawn to competitive compensation and meaningful equity
LOCATION
This is an on-site role based in our NYC or SF office, designed for builders who thrive on speed, iteration, and meaningful impact.
For this role, the expected base salary range is $180,000 to $260,000. Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.
#LI-DNI
Note: All official communication from Profound will come from a @tryprofound.com email address. If you're contacted by anyone using a different domain, please disregard and report it as spam.
Listed by Profound for a position based in the United States. Employers on this board attest they are hiring domestically.