Pivot Bio
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About Pivot Bio:
Fueled by an innovative drive and a deep understanding of microbiology, genomics, crop nutrition and agriculture, Pivot Bio is pioneering game-changing advances in fertilizer technology. Our first commercial product harnesses the power of naturally-occurring microbes, modern gene editing and application technologies to provide nitrogen to crops. We are dedicated to providing new solutions for farmers to improve yield as they work to help feed the world’s growing population. Read/Hear more about Pivot Bio on Forbes or PBS News Hour.
Pivot Bio’s Director, Digital Product is accountable for translating Pivot’s digital strategy into a cohesive, portfolio-level product system that accelerates commercial adoption, strengthens product evidence, and enables next-generation agronomic innovation. This role owns portfolio-level product direction, sequencing, and delivery alignment across Pivot’s core digital products, ensuring coordinated evolution, disciplined tradeoffs, and delivery in step with the agronomic cycle.
Operating at the intersection of agronomy, data, engineering, AI, and commercial execution, the Director translates complex scientific and business priorities into clear product strategy, integrated roadmaps, and seasonal release plans while balancing near-term commercial outcomes with long-term platform health. This role requires strong executive judgment in environments defined by ambiguity, cross-functional dependencies, and seasonal constraints, and serves as a key product leadership interface to Digital leadership and enterprise stakeholders.
This role can be located either in Minneapolis, MN or St. Louis, MO.
Essential Functions:
- Own portfolio-level product strategy, prioritization, and sequencing across Pivot’s digital products
- Establish and enforce product intake, prioritization, and tradeoff discipline to protect roadmap integrity, especially during in-season execution
- Lead quarterly portfolio and seasonal release planning, aligning Commercial, Product Innovation, Manufacturing, and Partnerships
- Partner closely with Architecture to ensure product decisions reinforce data standards, APIs, platform scalability, and long-term system health
- Provide product leadership to Engineering and Data Science by defining clear outcomes, success metrics, and release criteria across the portfolio
- Ensure all digital products are adoption-ready, including field workflows, partner enablement, and operational readiness
- Define and own portfolio-level product metrics spanning adoption, evidence quality, operational reliability, and commercial impact
- Facilitate executive-level tradeoff decisions balancing speed, technical debt, scalability, and seasonal risk
- Communicate portfolio status, risks, and learnings to Digital leadership, ELT, and executive stakeholders
Competencies:
- Product portfolio leadership: Proven ability to lead and govern a multi-product or platform portfolio, setting direction, sequencing priorities, and enforcing disciplined tradeoffs
- Systems & platform thinking: Deep understanding of how products, data, workflows, and integrations interact across agronomy, commercial execution, and partner ecosystems
- Executive judgment under ambiguity: Comfortable making and defending high-impact decisions with incomplete information, seasonal constraints, and competing stakeholder priorities
- Operating model ownership: Ability to establish and evolve product governance, intake discipline, and release rituals that scale execution without slowing teams down
- Agronomic & data fluency: Comfortable operating in domains involving field trials, agronomic data, analytics, and AI-enabled decision systems
- Stakeholder and influence leadership: Effectively aligns senior leaders, functional heads, and external partners without relying on formal authority
- Outcome accountability: Bias toward measurable portfolio-level outcomes including adoption, evidence quality, operational reliability, and commercial impact
Required Education & Experience
- Bachelor’s degree in Business, Engineering, Computer Science, Agronomy, or a related field
- 8+ years of experience in Product Management or product leadership roles, with demonstrated ownership of complex digital products through multiple delivery cycles
- 12+ years total experience in digital product development, including experience in engineering, data, UX, platform, or domain-facing roles (e.g., agronomy, analytics)
- Demonstrated experience leading multi-product portfolios or platform-based ecosystems, including sequencing, prioritization, and governance
- Proven ability to operate at executive and cross-functional leadership levels, translating strategy into execution and managing tradeoffs across Commercial, Product Innovation, Manufacturing, and Partnerships
- Strong track record of delivering durable, adoption-ready digital products in environments with high ambiguity and seasonal constraints
- Experience working closely with Engineering, Data, and Architecture leaders on platform health, scalability, and long-term foundations
- Understanding of agronomic data, crop nutrition, soil science, or precision agriculture is a strong plus
Must be Authorized To Work in the United States
What We Offer:
- Competitive package in a disruptive startup
- Bonus Incentive
- Stock options
- Health/Dental/Vision insurance with employer-paid premiums
- Life, Short-Term and Long-Term Disability policies
- Employee Assistance Program with free referrals and discounts
- 401(k) plan, 3% Match
- Commuter benefits
- Annual Training & Development support
- Flexible vacation policy with a generous holiday schedule
- Exciting opportunity to work with a talented and fun team
#LI-Onsite
All remote positions and those not located in our Berkeley facility are paid based on National Benchmark data. Following employment, growth beyond the hiring range is possible based on performance.
Ready to apply?
Apply to Pivot Bio
About Pivot Bio:
Fueled by an innovative drive and a deep understanding of microbiology, genomics, crop nutrition and agriculture, Pivot Bio is pioneering game-changing advances in fertilizer technology. Our first commercial product harnesses the power of naturally-occurring microbes, modern gene editing and application technologies to provide nitrogen to crops. We are dedicated to providing new solutions for farmers to improve yield as they work to help feed the world’s growing population. Read/Hear more about Pivot Bio on Forbes or PBS News Hour.
Pivot Bio’s Director, Digital Product is accountable for translating Pivot’s digital strategy into a cohesive, portfolio-level product system that accelerates commercial adoption, strengthens product evidence, and enables next-generation agronomic innovation. This role owns portfolio-level product direction, sequencing, and delivery alignment across Pivot’s core digital products, ensuring coordinated evolution, disciplined tradeoffs, and delivery in step with the agronomic cycle.
Operating at the intersection of agronomy, data, engineering, AI, and commercial execution, the Director translates complex scientific and business priorities into clear product strategy, integrated roadmaps, and seasonal release plans while balancing near-term commercial outcomes with long-term platform health. This role requires strong executive judgment in environments defined by ambiguity, cross-functional dependencies, and seasonal constraints, and serves as a key product leadership interface to Digital leadership and enterprise stakeholders.
This role can be located either in Minneapolis, MN or St. Louis, MO.
Essential Functions:
- Own portfolio-level product strategy, prioritization, and sequencing across Pivot’s digital products
- Establish and enforce product intake, prioritization, and tradeoff discipline to protect roadmap integrity, especially during in-season execution
- Lead quarterly portfolio and seasonal release planning, aligning Commercial, Product Innovation, Manufacturing, and Partnerships
- Partner closely with Architecture to ensure product decisions reinforce data standards, APIs, platform scalability, and long-term system health
- Provide product leadership to Engineering and Data Science by defining clear outcomes, success metrics, and release criteria across the portfolio
- Ensure all digital products are adoption-ready, including field workflows, partner enablement, and operational readiness
- Define and own portfolio-level product metrics spanning adoption, evidence quality, operational reliability, and commercial impact
- Facilitate executive-level tradeoff decisions balancing speed, technical debt, scalability, and seasonal risk
- Communicate portfolio status, risks, and learnings to Digital leadership, ELT, and executive stakeholders
Competencies:
- Product portfolio leadership: Proven ability to lead and govern a multi-product or platform portfolio, setting direction, sequencing priorities, and enforcing disciplined tradeoffs
- Systems & platform thinking: Deep understanding of how products, data, workflows, and integrations interact across agronomy, commercial execution, and partner ecosystems
- Executive judgment under ambiguity: Comfortable making and defending high-impact decisions with incomplete information, seasonal constraints, and competing stakeholder priorities
- Operating model ownership: Ability to establish and evolve product governance, intake discipline, and release rituals that scale execution without slowing teams down
- Agronomic & data fluency: Comfortable operating in domains involving field trials, agronomic data, analytics, and AI-enabled decision systems
- Stakeholder and influence leadership: Effectively aligns senior leaders, functional heads, and external partners without relying on formal authority
- Outcome accountability: Bias toward measurable portfolio-level outcomes including adoption, evidence quality, operational reliability, and commercial impact
Required Education & Experience
- Bachelor’s degree in Business, Engineering, Computer Science, Agronomy, or a related field
- 8+ years of experience in Product Management or product leadership roles, with demonstrated ownership of complex digital products through multiple delivery cycles
- 12+ years total experience in digital product development, including experience in engineering, data, UX, platform, or domain-facing roles (e.g., agronomy, analytics)
- Demonstrated experience leading multi-product portfolios or platform-based ecosystems, including sequencing, prioritization, and governance
- Proven ability to operate at executive and cross-functional leadership levels, translating strategy into execution and managing tradeoffs across Commercial, Product Innovation, Manufacturing, and Partnerships
- Strong track record of delivering durable, adoption-ready digital products in environments with high ambiguity and seasonal constraints
- Experience working closely with Engineering, Data, and Architecture leaders on platform health, scalability, and long-term foundations
- Understanding of agronomic data, crop nutrition, soil science, or precision agriculture is a strong plus
Must be Authorized To Work in the United States
What We Offer:
- Competitive package in a disruptive startup
- Bonus Incentive
- Stock options
- Health/Dental/Vision insurance with employer-paid premiums
- Life, Short-Term and Long-Term Disability policies
- Employee Assistance Program with free referrals and discounts
- 401(k) plan, 3% Match
- Commuter benefits
- Annual Training & Development support
- Flexible vacation policy with a generous holiday schedule
- Exciting opportunity to work with a talented and fun team
#LI-Onsite
All remote positions and those not located in our Berkeley facility are paid based on National Benchmark data. Following employment, growth beyond the hiring range is possible based on performance.
Ready to apply?
Apply to Pivot Bio
About Pivot Bio:
Fueled by an innovative drive and a deep understanding of microbiology, genomics, crop nutrition and agriculture, Pivot Bio is pioneering game-changing advances in fertilizer technology. Our first commercial product harnesses the power of naturally-occurring microbes, modern gene editing and application technologies to provide nitrogen to crops. We are dedicated to providing new solutions for farmers to improve yield as they work to help feed the world’s growing population. Read/Hear more about Pivot Bio on Forbes or PBS News Hour.
Pivot Bio's Director, Data Architect will play a key role in making data actionable at all levels of the organization to inform decisions, actions, and strategy. This individual will design and implement the company's data platform strategy creating the foundational architecture that connects lab discovery to field performance to manufacturing operations. The Data Architect works at the intersection of agronomic science, industrial operations, and commercial execution, designing modern, scalable data systems that organize and analyze data across all domains.
In this role, the Lead Data Architect will develop and deliver long-term strategic goals for data architecture vision and standards in collaboration with cross-functional stakeholders. A critical aspect of the role is translating business requirements from Product Innovation, Manufacturing, and Commercial teams into elegant technical architectures that balance immediate needs with long-term scalability. This role will provide technical recommendations throughout the solution/data architecture and implementation lifecycle, working hands-on when needed to prove concepts and establish patterns. The Director, Data Architect reports to the Head of Digital and works in close partnership with Product, Engineering, and Data Science teams, interfacing with business stakeholders across R&D, Manufacturing, Agronomy, and Commercial functions. Strong candidates have deep data platform expertise, pragmatic architectural judgment, and the ability to translate complex scientific and business requirements into clean, scalable data systems.
This role can be located in St. Louis, MO or Minneapolis, MN and will be onsite 4 days a week.
Essential Functions:
- Define data architecture vision and standards in collaboration with stakeholders
- Design and implement modern data platform integrating Lab, Manufacturing, Agronomic, and Corporate Operations across the agricultural value chain
- Design integration patterns for 3rd party data sources including soil tests, machinery data, imagery, and partner APIs
- Establish data governance framework including MDM policies, data quality standards, and security protocols
- Enable AI-ready infrastructure supporting advanced analytics, ML models, and GenAI applications
- Own data quality and availability across modeling, enrichment, and accessibility for all stakeholders
- Validate architectures hands-on through POCs, implementation reviews, and technical problem-solving
Competencies:
- Data platform mastery: Expert in data lakes, warehouses, and data mesh architectures with deep Databricks experience
- Data modeling expertise: Dimensional modeling, normalized schemas, graph databases, and domain-driven design
- Modern data stack: Databricks (preferred), ETL/ELT tools, streaming technologies, and BI platforms (Tableau, PowerBI)
- Data governance: Quality, profiling, security, metadata management, MDM, archival, and migration strategies
- Technical depth: Advanced SQL, Python/scripting, query optimization, and performance tuning
- Systems thinking: Balances strategic vision with pragmatic execution and speed-to-value trade-offs
- Ambiguity navigation: Defines elegant architecture despite incomplete requirements or evolving business needs
Required Education & Experience:
- Bachelor's degree in Computer Science, Engineering, or related field
- 10+ years of focused experience on data architecture and data engineering
- Proven experience in enterprise data modeling including dimensional modeling, normalization strategies and domain-driven design
- Deep hands-on experience with modern data platforms (Databricks strongly preferred)
- Strong programming skills in SQL; proficiency with scripting languages (Python, R, similar)
- Understanding of agronomic data, crop nutrition, soil science, or precision agriculture would be a strong plus
- Track record designing data architectures that enable advanced analytics and AI/ML applications
Must be authorized to work in the United States
What We Offer:
- Competitive package in a disruptive startup
- Stock options
- Health/Dental/Vision insurance with employer-paid premiums
- Life, Short-Term and Long-Term Disability policies
- Employee Assistance Program with free referrals and discounts
- 401(k) plan, 3% Match
- Commuter benefits
- Annual Training & Development support
- Flexible vacation policy with a generous holiday schedule
- Exciting opportunity to work with a talented and fun team
#LI-Onsite
All remote positions and those not located in our Berkeley facility are paid based on National Benchmark data. Following employment, growth beyond the hiring range is possible based on performance.
Ready to apply?
Apply to Pivot Bio
About Pivot Bio:
Fueled by an innovative drive and a deep understanding of microbiology, genomics, crop nutrition and agriculture, Pivot Bio is pioneering game-changing advances in fertilizer technology. Our first commercial product harnesses the power of naturally-occurring microbes, modern gene editing and application technologies to provide nitrogen to crops. We are dedicated to providing new solutions for farmers to improve yield as they work to help feed the world’s growing population. Read/Hear more about Pivot Bio on Forbes or PBS News Hour.
Pivot Bio's Director, Data Architect will play a key role in making data actionable at all levels of the organization to inform decisions, actions, and strategy. This individual will design and implement the company's data platform strategy creating the foundational architecture that connects lab discovery to field performance to manufacturing operations. The Data Architect works at the intersection of agronomic science, industrial operations, and commercial execution, designing modern, scalable data systems that organize and analyze data across all domains.
In this role, the Director, Data Architect will develop and deliver long-term strategic goals for data architecture vision and standards in collaboration with cross-functional stakeholders. A critical aspect of the role is translating business requirements from Product Innovation, Manufacturing, and Commercial teams into elegant technical architectures that balance immediate needs with long-term scalability. This role will provide technical recommendations throughout the solution/data architecture and implementation lifecycle, working hands-on when needed to prove concepts and establish patterns. The Director, Data Architect reports to the Head of Digital and works in close partnership with Product, Engineering, and Data Science teams, interfacing with business stakeholders across R&D, Manufacturing, Agronomy, and Commercial functions. Strong candidates have deep data platform expertise, pragmatic architectural judgment, and the ability to translate complex scientific and business requirements into clean, scalable data systems.
This role can be located in St. Louis, MO or Minneapolis, MN and will be onsite 4 days a week.
Essential Functions:
- Define data architecture vision and standards in collaboration with stakeholders
- Design and implement modern data platform integrating Lab, Manufacturing, Agronomic, and Corporate Operations across the agricultural value chain
- Design integration patterns for 3rd party data sources including soil tests, machinery data, imagery, and partner APIs
- Establish data governance framework including MDM policies, data quality standards, and security protocols
- Enable AI-ready infrastructure supporting advanced analytics, ML models, and GenAI applications
- Own data quality and availability across modeling, enrichment, and accessibility for all stakeholders
- Validate architectures hands-on through POCs, implementation reviews, and technical problem-solving
Competencies:
- Data platform mastery: Expert in data lakes, warehouses, and data mesh architectures with deep Databricks experience
- Data modeling expertise: Dimensional modeling, normalized schemas, graph databases, and domain-driven design
- Modern data stack: Databricks (preferred), ETL/ELT tools, streaming technologies, and BI platforms (Tableau, PowerBI)
- Data governance: Quality, profiling, security, metadata management, MDM, archival, and migration strategies
- Technical depth: Advanced SQL, Python/scripting, query optimization, and performance tuning
- Systems thinking: Balances strategic vision with pragmatic execution and speed-to-value trade-offs
- Ambiguity navigation: Defines elegant architecture despite incomplete requirements or evolving business needs
Required Education & Experience:
- Bachelor's degree in Computer Science, Engineering, or related field
- 10+ years of focused experience on data architecture and data engineering
- Proven experience in enterprise data modeling including dimensional modeling, normalization strategies and domain-driven design
- Deep hands-on experience with modern data platforms (Databricks strongly preferred)
- Strong programming skills in SQL; proficiency with scripting languages (Python, R, similar)
- Understanding of agronomic data, crop nutrition, soil science, or precision agriculture would be a strong plus
- Track record designing data architectures that enable advanced analytics and AI/ML applications
Must be authorized to work in the United States
What We Offer:
- Competitive package in a disruptive startup
- Stock options
- Health/Dental/Vision insurance with employer-paid premiums
- Life, Short-Term and Long-Term Disability policies
- Employee Assistance Program with free referrals and discounts
- 401(k) plan, 3% Match
- Commuter benefits
- Annual Training & Development support
- Flexible vacation policy with a generous holiday schedule
- Exciting opportunity to work with a talented and fun team
#LI-Onsite
All remote positions and those not located in our Berkeley facility are paid based on National Benchmark data. Following employment, growth beyond the hiring range is possible based on performance.
Ready to apply?
Apply to Pivot Bio