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Head of Biz Ops
$150 - $200k base + equity
1
Broomfield, CO
About Straddle
Straddle is building the trust layer for how money moves in the United States. The payments infrastructure that underpins $80 trillion in annual volume was designed for a world of batch processing and banking hours. We're replacing it with a single API that connects identity verification, bank account connectivity, and real-time payment processing across every major rail.
About the role
This role is the CEO's operating partner. You'll own the systems that make the company work: how we plan, how we execute, how we measure growth, and how we make decisions. The scope spans internal operations (planning cadence, org design, leadership alignment) and commercial operations (revenue infrastructure, GTM process, financial modeling).
You'll work across every function: engineering, product, sales, compliance, and fundraising. This isn't a support role that sits adjacent to the business. You're in the business, helping run it.
Success is measured by better decisions, fewer escalations, a revenue engine with clear visibility from pipeline to closed-won, and operating systems that run without constant intervention.
What you'll do
Partner with the CEO to shape strategy and translate it into priorities, resource allocation, and execution plans.
Build and refine the revenue operating model: pipeline tracking, forecasting, conversion analysis, and the reporting infrastructure that gives leadership real-time visibility into growth.
Scope and lead strategic initiatives from ambiguity to measurable outcomes: pricing analysis, market sizing, GTM experiments, hiring coordination, organizational design, board prep.
Act as a strategic advisor to leadership, providing guidance on decisions, trends, and growth opportunities.
Monitor business and operational metrics and flag issues early, with a recommendation attached.
Design, run, and continuously improve the company's operating cadence: OKRs, leadership reviews, planning cycles, and decision logs, with a focus on automation and explicit ownership.
Prepare briefing materials that surface tradeoffs, risks, and recommended actions, not status updates.
Track commitments across all leadership touchpoints with clear owners and deadlines.
Own vendor relationships, tool procurement, and operational budget decisions that don't require CEO involvement.
Build and maintain a knowledge base of SOPs, playbooks, and templates that compounds over time.
Provide interim leadership coverage when needed, with real ownership for priorities and delivery.
Handle confidential matters with complete discretion.
How the role grows
Months 1-3: Company operating system installed. OKR cadence, leadership reviews, planning cycles, and decision-tracking live and running. Revenue reporting infrastructure in place.
Months 4-6: Owning strategic projects and business-critical workstreams end-to-end. GTM process design, hiring coordination, organizational design, board prep, fundraising support. Making operational and commercial decisions independently.
Months 7-12: Full strategic and operational partner. Driving company-level initiatives, owning the revenue operating model, and shaping how the company scales.
Year 1+: Depending on performance and company growth, the role evolves into Chief of Staff, VP of Operations, or COO. The person who builds the operating and growth infrastructure is the natural candidate to lead it.
Who you are
7+ years in business operations, strategy and operations, or chief of staff roles working directly with a founder or C-level executive at a venture-backed company (Series A through C). You've been through at least one phase of meaningful scale and built process from scratch, not inherited it.
Track record of building operational systems, not just running them. You default to investing in process so the organization doesn't depend on individual heroics.
Experience leading or managing people, projects, or cross-functional workstreams. You've had direct ownership over outcomes, not just coordination responsibility.
Strong written communication. You can draft an investor update, a board memo, or an internal brief and it reads like the CEO wrote it.
Comfort making decisions with incomplete information and owning the outcome.
Fluency with AI and automation tools to reduce planning, reporting, and synthesis load.
Complete discretion with board materials, financial data, fundraising conversations, and personnel decisions.
Preferred qualifications
MBA or equivalent graduate degree.
Fintech or payments industry experience.
Board meeting and investor relations exposure.
Experience in regulated or service-oriented environments outside of tech.
Apply now
Your application will be reviewed by us. We'll get back to you quickly. We can't wait to meet you!
About the job
Job type
Full-time, Hybrid
Salary
$150 - $200k base + equity
Benefit you’ll get
Meaningful equity. Early team, real ownership, shared upside.
Hybrid flexible. Broomfield (outside Boulder) office with flexibility on when and how often you're in. We care about output, not attendance.
Unlimited PTO with a 4-week minimum.
Full health coverage. Medical, dental, vision. 401k/match.
Paid parental leave, including adoption and foster care.
Home office stipend and equipment budget.
Professional development budget for courses, certs, and conferences.
Team offsites for strategy, collaboration, and getting out of Slack.
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Denver, CO
Senior Product Data Scientist
We are seeking a Data Science Product Manager to report into the data science function, driving the strategy and execution behind models that detect fraud, optimize payment routing, and surface actionable insights for our clients. You will work closely with data and engineering teams to ensure data products move from discovery to production with speed and clarity.
$150k – $190k base
1
Broomfield, CO
Data Science Product Manager
Senior Data Science Product Manager
Company Overview
Straddle is building the intelligence layer for modern payments, enabling smarter, faster, and more reliable financial decisions through data and machine learning. We operate at the intersection of fintech, data infrastructure, and real-time decisioning, where the models and insights we build directly impact transaction success, fraud prevention, and customer experience.
We are a fast-moving, high-ownership team that values speed, clarity, and pragmatic execution. We believe in delivering impact quickly, iterating continuously, and building systems that scale as the business grows.
Position Overview
We are seeking a Senior Data Science Product Manager to drive the discovery, scoping, and cross-functional orchestration of Straddle's data and ML-powered product capabilities.
This role bridges the gap between data science, product, and the market. You will work closely with product leadership to understand Straddle's product roadmap, identify where data and ML can create differentiated value, and translate those opportunities into well-scoped, high-impact data product initiatives. Examples include intelligent routing systems that maximize bank connection success across providers, balance prediction models that reduce payment failures and unlock new product offerings like guaranteed payments, and risk scoring features that shape how payment products are priced and rolled out.
Today, data product strategy and roadmap ownership sits with the Head of Data Science. As the team scales, this role will serve as the connective tissue between the data science team and the rest of the organization, engaging directly with customers, attending industry events, understanding the payments landscape, and channeling market needs back into the data product roadmap. You will drive discovery, scoping, and cross-functional coordination for data initiatives, and be a strong voice contributing to leadership's Data Roadmap and OKRs.
The ideal candidate is someone who thinks like a product manager but speaks the language of data science. Comfortable scoping an ML feature, challenging a model's assumptions, and presenting a data product strategy to leadership in the same week.
Essential Functions
Drive discovery, scoping, and cross-functional coordination for data science and ML initiatives that support Straddle's core payment products. Surface opportunities, write proposals, and keep projects on track in partnership with the Head of Data Science
Partner with product leadership to understand the full product landscape and identify where data-driven capabilities (models, features, scoring, intelligence) can create competitive advantage
Translate product and business needs into well-defined data science project briefs, including problem framing, success metrics, data requirements, and delivery milestones
Engage directly with customers, prospects, and partners to understand real-world payment challenges and surface opportunities for data products
Represent Straddle's data capabilities externally at industry events, fintech meetups, and partner conversations. Bring market intelligence back to the team
Collaborate with data science and engineering to ensure data products are built with the right trade-offs between speed, accuracy, and scalability
Identify data gaps where acquiring new data sources, improving data quality, or connecting to new providers can meaningfully improve product and model outcomes
Define and track success metrics for data products post-launch, driving iteration based on real-world performance
Manage intake and triage of cross-functional data requests, providing recommendations on prioritization to the Head of Data Science
Build and maintain PRDs and product proposals for data science initiatives, ensuring alignment across product, engineering, and leadership
Desired Experience & Skills
5+ years in product management, data science, or a hybrid data product role
Strong understanding of machine learning concepts. You don't need to build models, but you need to know what's feasible, what's hard, and what questions to ask
Demonstrated experience translating business problems into data/ML product requirements
Track record of shipping data-powered features or products in a B2B or fintech context
Strong product intuition. You understand user needs, market dynamics, and how to prioritize ruthlessly
Experience working directly with customers or in customer-facing contexts (sales engineering, solutions, product discovery)
Familiarity with payments, open banking, risk/fraud, or financial services is strongly preferred
Excellent communication skills. You can write a clear PRD, run a stakeholder review, and present to leadership with equal comfort
Comfort operating in ambiguity. You thrive when the problem isn't fully defined yet
Experience with data platforms (Databricks, SQL, analytics tools) is a plus
Technical Familiarity
Machine learning product lifecycle: problem framing, feature design, model evaluation, deployment, monitoring
Data infrastructure concepts: pipelines, feature stores, lakehouse architecture, data quality
Payment systems: ACH, RTP, open banking, identity verification, risk scoring
A/B testing and experimentation design
Analytics and BI tools (dashboards, cohort analysis, funnel metrics)
Familiarity with Linear, Notion, or similar product management tooling
Culture Fit
Speed over perfection — momentum creates opportunity; we deliver, iterate, and improve
Ownership mentality — we don't stop at "our part"; we ensure outcomes
Honest, data-driven thinking — we trust the data, even when it's inconvenient
Curiosity and creativity — we ask "why," explore ideas, and challenge assumptions
Pragmatic execution — we balance long-term scalability with immediate business impact
Collaborative mindset — we think out loud, share context, and make each other better
We are building systems that directly impact real financial outcomes. That responsibility demands high standards, strong judgment, and a bias toward action.