Omnifold a series B start up building an AI-centric planning platform for supply chain. We sell against a well established category: advanced planning systems. Enterprises have poured two decades and enormous budgets into these systems, yet they fall short. Our job is to take this category and make it our own.
This hire will sit at the center of the work to capture an unfair share of the $30B TAM in supply chain software. If you love the Salesforce “no software” story, or how Databricks fights against Snowflake, we want to talk with you.
What you own
Positioning and messaging. Different, not better. The articulation has to hold at every altitude: the top-level tag, the category narrative, the web copy, the ad copy, the enablement.
Product marketing and launch. Bring the product to life. Name the capabilities, define what each one is for, and build the vocabulary the entire company uses — starting with demand planning. Then build the motion so the next launch is faster. The fun part here? Doing the work so we are familiar enough to understand, but different enough to stand out.
Insights and storytelling. Build the narratives that make the problem land, and build them by vertical. A CPG CSCO and a pharma CSCO do not lose sleep over the same thing. You will leverage all the channels to establish our story.
Campaign architecture. You will define and execute (with the head of demand gen) our campaigns. We can be as creative and ambitious as we want. Our mandate will be to ensure our campaigns have impact, are different, and create action.
What we expect
Four pillars, one person. You will be an individual contributor for a while, and you will build a team as we grow. If you need staff underneath you to be effective, this is the wrong role. If you have been waiting for a scope this wide and this unclaimed, it is the right one.
A rough first-year sequence, so the breadth reads as ordered rather than infinite:
First 90 days: positioning and messaging architecture locked
Next: launch demand planning. This is the proof that the machine works.
Then: vertical narratives, and plays pushed into the sales team.
Throughout: a steady drumbeat of published thinking
That order is a starting point, not a mandate. If you get here and think it is wrong, say so.
Who you are
10+ years in B2B product marketing
You have demonstrated the ability to launch products — not just message around ones that already existed.
You have written positioning that survived contact with the market, and you can name the parts that did not.
You can learn a hard technical domain fast and then explain it simply. You do need to be the kind of person who will know it in ninety days.
You enjoy creating content.
You are opinionated and want to build something special.
Nice to haves: experience in supply chain and marketing AI based systems
The details
Reports directly to the CMO.
San Francisco, in office five days a week.
Listed by Omnifold for a position based in the United States. Employers on this board attest they are hiring domestically.
Sales Account Executive - East Region
Location
East Coast (General)
Employment Type
Full time
Location Type
Remote
Department
Sales
Overview
Application
Sales Account Executive - East Region
Our Mission:
We believe that the world is changing faster than ever before. Economic dislocations, geopolitical conflicts, and reactive consumer sentiments have upended assumptions about supply and demand. The future no longer resembles the past, rendering traditional forecasting obsolete. To respond, we are building self improving AI systems to optimize supply chain and commercial investments, for businesses ranging from high growth brands to multinational corporations. Our mission is to eliminate waste and accelerate growth in every market with physical products.
Technology:
Our AI models are trained on structured and unstructured data to forecast, optimize, and drive better business decisions. We combine classical machine learning with deep learning, large language models (LLMs), and reinforcement learning to create systems that continuously learn and improve.
Traction:
Omnifold has raised $60M from tier-1 venture capital firms including Lightspeed, Kleiner Perkins, and John Thompson (former Chairman of Microsoft).
We have multiple production customers across CPG, food& beverage, electronics, and industrial manufacturing, and active pilots with some of the world’s largest supply chains ($100B+ businesses).
Team:
The founding team includes machine learning researchers from OpenAI, Stanford, MIT, and Google, as well as senior industry operators from Snowflake, Wiz, and Palantir. The CEO previously built and scaled a machine learning company that was acquired by Snowflake for a 9-figure sum.
The Role
As one of our first sales hires, you’ll play a defining role in bringing a category-defining solution to market. You will identify, engage, qualify, and close new enterprise customers — selling into Chief Supply Chain Officers and other senior executives across manufacturing, distribution, CPG, packaging, pharmaceuticals, retail, and logistics. You will manage a complex enterprise sales process with numerous stakeholders, build relationships with the executives who matter, and represent Omnifold’s solution and unique value proposition in the market. You’re comfortable closing 6- and 7-figure enterprise deals, engaging decision-makers directly, and articulating clear, compelling ROI. You’ll have real influence, true ownership, and the chance to leave your mark on our playbook, our product, and our go-to-market strategy.
What You’ll Do
Build the pipeline: Hunt for opportunities with fast-moving CPG, retail, and manufacturing
enterprises — spot whitespace, start conversations, and open doors where others can’t.
Sell with curiosity: Understand each customer’s challenges and show them how AI-driven forecasting and optimization make their world run smarter.
Own the deal: Lead the full sales journey from first call to contract — earning trust, navigating multi-stakeholder complexity, and closing 6- and 7-figure deals.
Team up to win — and deliver: Partner with team members across the full lifecycle, from sharp stories and compelling demos through successful delivery.
Keep it predictable: Keep the CRM clean, forecast with confidence, and follow — and help improve — our sales process and GTM model as we scale.
Champion the customer and the culture: Turn early wins into lasting partnerships, and help build the company culture as one of our founding sellers.
Who You Are
A highly intelligent and inspirational salesperson with the following experience and characteristics:
Proven performer: You have at least 8 years of quota-carrying software/SaaS sales with a heavy emphasis on selling business solutions to senior executives, consistently exceeding quota and closing 6- and 7-figure deals.
Hunter: You’ve carried 7-figure new-ARR quotas as a hunter — self-sourcing pipeline, not farming a mature book.
Value seller: You sell business value — you communicate and quantify ROI, explain complex products simply, and serve as a trusted advisor to executives.
Builder’s mindset: You have start-up experience. You can work without a lot of structure, can wear a lot of different hats, and thrive selling novel products that require creativity.
Collaborative teammate: You’re highly accountable for results and a great collaborator in a fast-paced, high-growth environment.
Domain savvy: An understanding of physical-goods businesses — especially supply chain, its buyer personas, and its value drivers — is highly desirable.
What You’ll Love About Working Here
Category-defining tech built by a veteran team that has done this before.
A builder’s seat: help design the playbook, shape the motion, and set the tone for our growth story.
Reward for results: competitive base, uncapped commission, equity upside, full benefits.
Access and exposure: work side-by-side with senior leadership and industry-leading brands.
Apply for this Job
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Listed by Omnifold for a position based in the United States. Employers on this board attest they are hiring domestically.
Sales
55 days ago
Sales Account Executive - West Region
Omnifold · San Francisco, California, United States
We believe that the world is changing faster than ever before. Economic dislocations, geopolitical conflicts, and reactive consumer sentiments have upended assumptions about supply and demand. The future no longer resembles the past, rendering traditional forecasting obsolete. To respond, we are building self improving AI systems to optimize supply chain and commercial investments, for businesses ranging from high growth brands to multinational corporations. Our mission is to eliminate waste and accelerate growth in every market with physical products.
Technology:
Our AI models are trained on structured and unstructured data to forecast, optimize, and drive better business decisions. We combine classical machine learning with deep learning, large language models (LLMs), and reinforcement learning to create systems that continuously learn and improve.
Traction:
Omnifold has raised $60M from tier-1 venture capital firms including Lightspeed, Kleiner Perkins, and John Thompson (former Chairman of Microsoft).
We have multiple production customers across CPG, food& beverage, electronics, and industrial manufacturing, and active pilots with some of the world’s largest supply chains ($100B+ businesses).
Team:
The founding team includes machine learning researchers from OpenAI, Stanford, MIT, and Google, as well as senior industry operators from Snowflake, Wiz, and Palantir. The CEO previously built and scaled a machine learning company that was acquired by Snowflake for a 9-figure sum.
The Role
As one of our first sales hires, you’ll play a defining role in bringing a category-defining solution to market. You will identify, engage, qualify, and close new enterprise customers — selling into Chief Supply Chain Officers and other senior executives across manufacturing, distribution, CPG, packaging, pharmaceuticals, retail, and logistics. You will manage a complex enterprise sales process with numerous stakeholders, build relationships with the executives who matter, and represent Omnifold’s solution and unique value proposition in the market. You’re comfortable closing 6- and 7-figure enterprise deals, engaging decision-makers directly, and articulating clear, compelling ROI. You’ll have real influence, true ownership, and the chance to leave your mark on our playbook, our product, and our go-to-market strategy.
What You’ll Do
Build the pipeline: Hunt for opportunities with fast-moving CPG, retail, and manufacturing
enterprises — spot whitespace, start conversations, and open doors where others can’t.
Sell with curiosity: Understand each customer’s challenges and show them how AI-driven forecasting and optimization make their world run smarter.
Own the deal: Lead the full sales journey from first call to contract — earning trust, navigating multi-stakeholder complexity, and closing 6- and 7-figure deals.
Team up to win — and deliver: Partner with team members across the full lifecycle, from sharp stories and compelling demos through successful delivery.
Keep it predictable: Keep the CRM clean, forecast with confidence, and follow — and help improve — our sales process and GTM model as we scale.
Champion the customer and the culture: Turn early wins into lasting partnerships, and help build the company culture as one of our founding sellers.
Who You Are
A highly intelligent and inspirational salesperson with the following experience and characteristics:
Proven performer: You have at least 8 years of quota-carrying software/SaaS sales with a heavy emphasis on selling business solutions to senior executives, consistently exceeding quota and closing 6- and 7-figure deals.
Hunter: You’ve carried 7-figure new-ARR quotas as a hunter — self-sourcing pipeline, not farming a mature book.
Value seller: You sell business value — you communicate and quantify ROI, explain complex products simply, and serve as a trusted advisor to executives.
Builder’s mindset: You have start-up experience. You can work without a lot of structure, can wear a lot of different hats, and thrive selling novel products that require creativity.
Collaborative teammate: You’re highly accountable for results and a great collaborator in a fast-paced, high-growth environment.
Domain savvy: An understanding of physical-goods businesses — especially supply chain, its buyer personas, and its value drivers — is highly desirable.
What You’ll Love About Working Here
Category-defining tech built by a veteran team that has done this before.
A builder’s seat: help design the playbook, shape the motion, and set the tone for our growth story.
Reward for results: competitive base, uncapped commission, equity upside, full benefits.
Access and exposure: work side-by-side with senior leadership and industry-leading brands.
Listed by Omnifold for a position based in the United States. Employers on this board attest they are hiring domestically.
Engineering
64 days ago
Applied AI Engineer
Omnifold · San Francisco, California, United States
Applied AI Engineer
Location
San Francisco HQ; East Coast (General)
Employment Type
Full time
Location Type
On-site
Department
Applied AI
Overview
Application
Omnifold’s Mission
Every bad forecast has a physical consequence. Unnecessary goods are manufactured, shipped, and stored. Emergency air freight is needed for misallocated products. Poor production planning means workers show up with nothing to do, or work frantic overtime. Inefficiency is everywhere.
Our mission is to eliminate waste and accelerate growth for every company with physical products.
What You’ll Do
Engage directly with real customer problems to deeply understand data and operational challenges
Frame customer problems clearly
Lead technical and value-oriented demos that resonate with both technical and non-technical stakeholders
Work hands-on with data using Python and SQL
Build custom demos and prototypes to support GTM activities
Act as a trusted technical partner during evaluations, pilots, and implementations
Support active customer deployments to ensure full value of platform is realized
What We’re Looking For
Technical sales or consulting experience (sales engineer, forward-deployed engineer, solution architect)
Prior experience as a data scientist or selling a product which required a foundational understanding of machine learning
Experience supporting complex, high-value enterprise sales cycles
Excellent project management skills and attention to detail
Experience using technologies such as Python and SQL to answer complex questions and solve business problems
Strong business intuition paired with technical rigor
Hands-on, builder mindset; willingness to dive into new technologies / topics as the situation requires
Confident engaging with business and technical stakeholders alike
How We Assess This Role
Technical assessment: Core data analysis and machine learning skills
Business impact presentation: In-depth walkthrough of an example where you have solved a business problem using AI, machine learning, or optimization
Demo: Create a demo in our application and showcase it in front of our team
Apply for this Job
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Listed by Omnifold for a position based in the United States. Employers on this board attest they are hiring domestically.
Enterprise Software
64 days ago
Applied AI Scientist
Omnifold · San Francisco, California, United States
Applied AI
Location
San Francisco HQ; East Coast (General)
Employment Type
Full time
Location Type
On-site
Department
Applied AI
Overview
Application
Omnifold’s Mission
Every bad forecast has a physical consequence. Unnecessary goods are manufactured, shipped, and stored. Emergency air freight is needed for misallocated products. Poor production planning means workers show up with nothing to do, or work frantic overtime. Inefficiency is everywhere.
Our mission is to eliminate waste and accelerate growth for every company with physical products.
What You’ll Do
Engage directly with real customer problems to deeply understand data and operational challenges
Frame customer problems clearly
Lead technical and value-oriented demos that resonate with both technical and non-technical stakeholders
Work hands-on with data using Python and SQL
Build custom demos and prototypes to support GTM activities
Act as a trusted technical partner during evaluations, pilots, and implementations
Support active customer deployments to ensure full value of platform is realized
What We’re Looking For
2+ years of experience as a Data Scientist or Applied AI Scientist
Prior experience as a data scientist or selling a product which required a foundational understanding of machine learning
Excellent project management skills and attention to detail
Experience using technologies such as Python and SQL to answer complex questions and solve business problems
Strong business intuition paired with technical rigor
Hands-on, builder mindset; willingness to dive into new technologies / topics as the situation requires
Confident engaging with business and technical stakeholders alike
How We Assess This Role
Technical assessment: Core data analysis and machine learning skills
Business impact presentation: In-depth walkthrough of an example where you have solved a business problem using AI, machine learning, or optimization
Demo: Create a demo in our application and showcase it in front of our team
Apply for this Job
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Listed by Omnifold for a position based in the United States. Employers on this board attest they are hiring domestically.
Engineering
161 days ago
MTS - ML Research Engineer
Omnifold · San Francisco, California, United States
MTS - ML Research Engineer
Location
San Francisco HQ
Employment Type
Full time
Location Type
On-site
Department
Research
Overview
Application
Member of Technical Staff, ML Research Engineer
Omnifold trains custom AI models for each customer's supply chain - purpose-built systems that forecast demand, optimize decisions, and adapt continuously to a changing world. The research team is responsible for the core intelligence that makes this possible: developing new model architectures, curating proprietary data assets, and pushing the boundaries of what ML can do.
What makes this job interesting:
You will work on problems that frontier models can't solve. Supply chain dynamics require modeling physical systems and processes.
You will own the full research cycle, from hypothesis to production model, with direct visibility into real-world impact.
You will work at the intersection of machine learning models, optimization, LLM reasoning capabilities, and proprietary data - a combination few research teams are building
What you'll own:
Training models for forecasting and optimization across complex, multi-variable supply chain environments
Building and curating proprietary data assets that carry signal about real-world physical and commercial systems
Integrating LLM knowledge and reasoning capabilities into purpose-built models to maximize accuracy and adaptability
Continuously improving model performance as market conditions shift (consumer sentiment, product launches, geopolitical changes, competitive dynamics)
What we're looking for:
5+ years of industry machine learning engineering, including and experimentation
Experience with time-series forecasting, mathematical modeling, optimization, or related domains
Understanding of LLMs, including fundamentals and practical system design including tool use and eval design
Experience working with messy, heterogeneous real-world data
Experience working with large code bases
Academic or industry research experience preferred
Comfort operating in a fast-moving, early-stage environment where research directly feeds production systems
Location: San Francisco (in-person, 5 days per week)
Omnifold’s Mission
Every bad forecast has a physical consequence. Unnecessary goods are manufactured, shipped, and stored. Emergency air freight is needed for misallocated products. Poor production planning means workers show up with nothing to do, or work frantic overtime. Inefficiency is everywhere.
Our mission is to eliminate waste and accelerate growth for every company with physical products.
Apply for this Job
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Listed by Omnifold for a position based in the United States. Employers on this board attest they are hiring domestically.
Marketing
162 days ago
Field Marketing Manager
Omnifold · San Francisco, California, United States
Field Marketing Manager
Location
San Francisco HQ
Employment Type
Full time
Location Type
On-site
Department
Marketing
Overview
Application
Field Marketing Manager
San Francisco • In-Office • Reports to CMO
About Omnifold
We believe that the world is changing faster than ever before. Economic dislocations, geopolitical conflicts, and reactive consumer sentiments have upended assumptions about supply and demand. The future no longer resembles the past, rendering traditional forecasting obsolete. To respond, we are building self improving AI systems to optimize supply chain and commercial investments, for businesses ranging from high growth brands to multinational corporations. Our mission is to eliminate waste and accelerate growth in every market with physical products.
The Role
Field events generate the majority of our pipeline today. This role owns that channel end-to-end and makes it bigger. You’re not a badge scanner or a logistics coordinator. You are a strategic operator that wants to help grow the business. You’ll join the team to qualify prospects in real-time, handle objections on the spot, and book next meetings before the conference ends. Between events, you’re running the pre-conference outbound machine and the post-event follow-up that turns conversations into pipeline.
The Omnifold story at the booth level is learnable in weeks. What’s not learnable is the instinct to turn a two-minute conversation into a booked meeting. If you came up through BDR and moved into field, or you’re a field marketer who consistently generates pipeline and wants to scale with us, this is your role.
What You’ll Do
• Own Event-Driven Pipeline. Meetings booked and pipeline created,not leads collected, not booths staffed, not post-show reports written. You set a number for every event and you hit it.
• Run Pre-Conference Outbound. Before every event, you systematically work the attendee list. Collaborating with our CMO and sales, and cross-referencing against our CRM and ICP, you will book meetings before you even get on the plane.
• Execute On-Site. Work the booth, take meetings, qualify in real-time, and book next steps on the spot. You have enough product and vertical fluency for credible first conversations, and you know when to pull in an expert.
• Drive Post-Event Follow-Up. Fast, structured follow-up within 48 hours. Personalized based on actual conversations, with relevant content attached. Every contact logged in HubSpot. No lead left behind.
• Shape Event Strategy. Help build and evolve our conference calendar across three tracks: horizontal supply chain shows, vertical supply chain shows, and pure industry events. You’ll evaluate which events produce pipeline and which are expensive brand exercises and help shape the next several years of event strategy.
• Coordinate Local Meetings. Every event trip is an opportunity. You’ll leverage travel for in-person meetings with nearby prospects, customers and contacts. Excellence is turning a two-day conference into a week of pipeline activity.
• Partner Across Marketing. You work closely with the outbound engine to avoid conflicting outreach, pull content and collateral from the editorial team for each event, and feed event data back to rev ops for pipeline tracking and ROI analysis.
Who You Are
• A Pipeline Generator, Not a Program Manager. You’ve personally sourced pipeline from events. You can point to meetings you booked, deals you influenced, and revenue that started with a conversation you had at a booth or a dinner.
• Comfortable in Sales Conversations. You want to qualify a prospect, handle a light objection, and set a next step without needing a script. Everyone at Omnifold is a BDR at heart.
• Systematically Aggressive. You don’t just show up and hope for traffic. You work the attendee list weeks in advance, have a plan for every high-priority account, and follow up before anyone else does.
• 3–8 Years of B2B Experience. In field marketing, BDR/SDR, or a hybrid role at a B2B company selling to enterprise. You’ve worked events in a world where the deal size justifies the investment.
• In San Francisco. This role is in-office five days a week with regular travel to conferences and events.
Bonus Points
• Experience in supply chain, manufacturing, or industrial B2B markets.
• Familiarity with HubSpot, ZoomInfo, or similar CRM and prospecting tools.
• Experience working at an early-stage company where you had to figure things out without a playbook.
• You’ve worked events where you were the only person from your company on-site, and still crushed it.
Omnifold is building something that matters. If you’re the person who turns a conference badge into a closed deal, we’d love to hear from you.
Apply for this Job
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Engineering
182 days ago
MTS - Infrastructure
Omnifold · San Francisco, California, United States
Omnifold trains custom AI models that help planners forecast the future. We are hiring for our Infrastructure Team, who own the systems that make everything else possible.
What makes this job interesting:
We train a unique model for each customer, which means model training and inference work differently here than at any other company. You’ll never get more reps building model training infrastructure!
Our team has very fast iteration speed but needs robust monitoring to pick up signal on user patterns. This is especially important as our application interface for AI-driven forecasting is unique on the market.
What you’ll own
Deployment: Reliable processes for getting models and services into production
Security: Data isolation between customers, product security, infrastructure hardening (SOC2 compliance and beyond)
Location: San Francisco (in-person, 5 days per week)
Omnifold’s Mission
Every bad forecast has a physical consequence. Unnecessary goods are manufactured, shipped, and stored. Emergency air freight is needed for misallocated products. Poor production planning means workers show up with nothing to do, or work frantic overtime. Inefficiency is everywhere.
Our mission is to eliminate waste and accelerate growth for every company with physical products.
Listed by Omnifold for a position based in the United States. Employers on this board attest they are hiring domestically.
Engineering
182 days ago
Infrastructure Tech Lead
Omnifold · San Francisco, California, United States
Infrastructure Tech Lead
Location
San Francisco HQ
Employment Type
Full time
Location Type
On-site
Department
Engineering
Overview
Application
Infrastructure Tech Lead / Principal Engineer
Omnifold trains custom AI models that help planners forecast the future. We are hiring our first infrastructure tech lead, who will own the systems that make everything else possible.
What makes this job interesting:
We train a unique model for each customer, which means model training and inference work differently here than at any other company. You’ll never get more reps building model training infrastructure!
Our team has very fast iteration speed but needs robust monitoring to pick up signal on user patterns. This is especially important as our application interface for AI-driven forecasting is unique on the market.
What you’ll own
Deployment: Reliable processes for getting models and services into production
Security: Data isolation between customers, product security, infrastructure hardening (SOC2 compliance and beyond)
Cloud resource management: GPU allocation, instance sizing, cost optimization
Monitoring and logging: Visibility into what's running, what's failing, and why
Data and ML ops: ETL pipelines from varied customer data sources, model versioning and lifecycle management
Automated testing: Building the test infrastructure that lets us ship with confidence
What we’re looking for
Experience with cloud computing (especially GPU workloads), CI/CD infrastructure-as-code. We run on AWS
Familiarity with or interest in ML workflows
Security fundamentals: encryption, access controls, compliance basics
Python proficiency
Ideally ~10 years of experience, including startup experience, with at least 3 years in a tech lead role. 5+ years in infrastructure, DevOps, or platform engineering roles
Must have a strong Computer Science background
Location: San Francisco (in-person, 5 days per week)
Omnifold’s Mission
Every bad forecast has a physical consequence. Unnecessary goods are manufactured, shipped, and stored. Emergency air freight is needed for misallocated products. Poor production planning means workers show up with nothing to do, or work frantic overtime. Inefficiency is everywhere.
Our mission is to eliminate waste and accelerate growth for every company with physical products.
Apply for this Job
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Listed by Omnifold for a position based in the United States. Employers on this board attest they are hiring domestically.
Engineering
182 days ago
MTS - Applications
Omnifold · San Francisco, California, United States
MTS - Applications
Location
San Francisco HQ
Employment Type
Full time
Location Type
On-site
Department
Engineering
Overview
Application
Member of Technical Staff, Applications
Omnifold trains custom AI models that help planners forecast the future. At the application layer, our users interact with those models - creating forecasts, understanding why predictions shifted, and feeding context back into the system.
What makes this job interesting:
You will build interfaces that are both data-dense and elegant
You will design thoughtful human-LLM interaction patterns for real-world problems
You will constantly be making real product and architecture decisions.
What we're looking for:
5+ years full-stack experience, weighted toward frontend
Must have a strong Computer Science background (CS Degree, or developed a product with core computer science fundamentals e.g. compilers, search)
Experience with data-dense interfaces: dashboards, analytics products, planning tools
TypeScript, React 18+, Tailwind, Python
Experience with end-to-end feature development (requirements -> concept -> mocks -> technical design -> implementation -> documentation)
The ability to amplify your good taste + judgement using modern AI tools
Useful but not required:
Experience building:
features involving LLM or ML interactions
Enterprise SaaS
Application security and other systems design experience
Location: San Francisco (in-person, 5 days per week)
Omnifold’s Mission
Every bad forecast has a physical consequence. Unnecessary goods are manufactured, shipped, and stored. Emergency air freight is needed for misallocated products. Poor production planning means workers show up with nothing to do, or work frantic overtime. Inefficiency is everywhere.
Our mission is to eliminate waste and accelerate growth for every company with physical products.
Apply for this Job
Powered by
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Listed by Omnifold for a position based in the United States. Employers on this board attest they are hiring domestically.
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