Confido

The brands on your kitchen shelf are run by people doing extraordinary work that nobody sees. We're building the platform they run on, and a brand they'll be proud to be part of. Confido is the AI operating system that runs cash application, deductions, trade and planning in one place for CPG brands. That means Finance, Sales, and Ops finally work on the same number. We’re trusted by 250+ brands managing $30B+ in revenue, including Daisy, OLIPOP, Simple Mills, Idahoan, and more. We've achieved best-in-class growth and recently raised a $55M Series B led by Insight Partners to accelerate our momentum.If you want your work on shelves everywhere — and outsized ownership while you build — we'd love to meet you.<h2>The Role</h2>Be the first dedicated owner of Confido's ML platform. Our AI/ML team already ships document-understanding, forecasting, and agentic systems into production — on infrastructure we've stood up by hand. You'll own that layer: the pipelines, serving, and cloud foundation that turn models and agents into reliable, cost-efficient production systems, at the scale of hundreds of thousands of documents and heavy LLM/VLM workloads.Location: New York, NY (Relocation supported)<h2> What you'll do</h2><ul><li>Own ML pipelines end to end — experimentation to production — and the infrastructure behind training, inference, and agentic workloads</li><li>Give the AI/ML team a paved road: reproducible environments and fast paths from prototype to production, so they can try new models and agents without fighting the infra</li><li>Stand up the cloud foundation as Infrastructure as Code and the CI/CD that ships ML safely</li><li>Serve and optimize inference and forecasting workloads — latency, throughput, and cost — and the data streams feeding them (e.g. turning a heavy synchronous model call into an async, parallelized one)</li><li>Own the data interface with data engineering: serve the right data to models and agents, and write their outputs back into the platform's data systems for the rest of Confido to use</li><li>Make reliability, observability, security, and privacy the default — and keep model and agent quality measurable in production through online evals and human-in-the-loop review, not just uptime</li></ul><h2> What we're looking for</h2> Required<ul><li>5+ years in MLOps, ML platform, AI infrastructure, or platform engineering — on production ML systems, not pipelines on paper</li><li>You live at the seam of software and infrastructure: equally at home writing production code and standing up cloud infra.</li><li>You've driven a real pipeline end to end and can walk through it: the architecture, the security and cost trade-offs, and what you'd change</li><li>Deep cloud infrastructure understanding, distributed data systems, and IaC — you can boot an environment from scratch, wire CI/CD, and run containerized workloads in production without hand-holding</li><li>Strong Python and comfort in a production app codebase (Ruby, Java) monitoring, security, and cost are instincts, not afterthoughts</li><li>High ownership in a fast-moving startup, and experience productionizing what research/AI teams build</li></ul>Nice to have<ul><li>LLMOps tooling — tracing, prompt/version management, eval harnesses</li><li>Inference optimization (vLLM, ONNX, TensorRT) and GPU / spot-instance economics</li><li>ML platform and orchestration tooling (MLflow, BentoML, Ray, Airflow)</li><li>Large-scale data systems (Snowflake, Kafka) and vector databases</li><li>Managed ML services (Bedrock, SageMaker, Vertex AI)</li><li>Multimodal or generative AI in production</li></ul>Our stack: Python · Ruby/Rails · AWS · Terraform · Kubernetes · GitHub Actions · Snowflake · Aurora/RDS · Redis · Kafka — with more of the above added as we scale.Learn more about AI @ Confido <a target="_blank" rel="noopener noreferrer ugc" href="https://wooded-maxilla-fc0.notion.site/AI-ML-Engineering-31b061e1396480bb8b19fef50ad197e5">here</a> <h2>🌴 Perks + Benefits</h2><ul><li>Equity — own a meaningful piece of the company you’re helping build</li><li>Fully paid health coverage through Aetna — we cover 100% of employee premiums</li><li>Top-tier dental and vision coverage through Guardian</li><li>Carrot Fertility Pro — comprehensive fertility and family-forming support</li><li>12 weeks of paid parental leave</li><li>Unlimited PTO — plus regular 4-day holiday weekends we actually take</li><li>401(k) through Vestwell</li><li>Paid relocation support — we’ll help you make the move to NYC</li><li>Fully equipped workspace from day one — laptop, monitor, keyboard, and a $200 stipend to personalize your setup</li><li>Team perks — catered Friday lunches, team dinners, and unlimited coffee + snacks featuring products from the brands we work with</li></ul>Confido provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Senior ML Ops Engineer

The brands on your kitchen shelf are run by people doing extraordinary work that nobody sees. We're building the platform they run on, and a brand they'll be proud to be part of. Confido is the AI operating system that runs cash application, deductions, trade and planning in one place for CPG brands. That means Finance, Sales, and Ops finally work on the same number. We’re trusted by 250+ brands managing $30B+ in revenue, including Daisy, OLIPOP, Simple Mills, Idahoan, and more. We've achieved best-in-class growth and recently raised a $55M Series B led by Insight Partners to accelerate our momentum.If you want your work on shelves everywhere — and outsized ownership while you build — we'd love to meet you. As a Data Analyst, you will build the analytics layer that helps both Confido and our customers understand their financial and operational data. You’ll design dashboards, develop core metrics, and surface insights that drive decision-making across the platform.This is a foundational role where you’ll help shape Confido’s data culture and establish how analytics are delivered internally and to customers.Location: New York, NY (Relocation supported)<h2>What You'll Do</h2><ul><li>Partner with product, engineering, and customers to understand analytics needs</li><li>Design and build dashboards, reports, and analytical tools for internal and external users</li><li>Write complex SQL queries to analyze large-scale financial and operational datasets</li><li>Define and maintain key business metrics and KPIs</li><li>Identify trends, anomalies, and opportunities within retailer and financial data</li><li>Drive analytical projects from exploration through delivery</li><li>Collaborate with engineers to improve data models and underlying datasets</li></ul><h2>Example Problems</h2><ul><li>Building custom dashboards for brands to understand retailer performance</li><li>Analyzing deduction and dispute data to identify operational inefficiencies</li><li>Designing analytics that help brands forecast sales and demand</li><li>Combining and transforming data into clean, analysis-ready datasets that power actionable insights</li><li>Turning complex financial data into intuitive visual insights</li></ul><h2>What We're Looking For</h2>Required<ul><li>2+ years of experience in data analysis or analytics roles</li><li>Advanced SQL skills and experience working with large datasets</li><li>Strong experience building dashboards and analytical reports</li><li>Ability to translate data into clear insights and recommendations</li><li>Strong communication skills working with technical and non-technical stakeholders</li></ul>Nice to Have<ul><li>Experience with BI tools (Omni, Looker, Mode, etc.)</li><li>Experience working with financial, retail, or operational datasets</li><li>Comfort working directly with users</li><li>Interest in early-stage startups and high-ownership roles</li><li>Technical or quantitative degree</li></ul><h2>🌴 Perks + Benefits</h2><ul><li>Equity — own a meaningful piece of the company you’re helping build</li><li>Fully paid health coverage through Aetna — we cover 100% of employee premiums</li><li>Top-tier dental and vision coverage through Guardian</li><li>Carrot Fertility Pro — comprehensive fertility and family-forming support</li><li>12 weeks of paid parental leave</li><li>Unlimited PTO — plus regular 4-day holiday weekends we actually take</li><li>401(k) through Vestwell</li><li>Paid relocation support — we’ll help you make the move to NYC</li><li>Fully equipped workspace from day one — laptop, monitor, keyboard, and a $200 stipend to personalize your setup</li><li>Team perks — catered Friday lunches, team dinners, and unlimited coffee + snacks featuring products from the brands we work with</li></ul>Confido provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Data Analyst

The brands on your kitchen shelf are run by people doing extraordinary work that nobody sees. We're building the platform they run on, and a brand they'll be proud to be part of. Confido is the AI operating system that runs cash application, deductions, trade and planning in one place for CPG brands. That means Finance, Sales, and Ops finally work on the same number. We’re trusted by 250+ brands managing $30B+ in revenue, including Daisy, OLIPOP, Simple Mills, Idahoan, and more. We've achieved best-in-class growth and recently raised a $55M Series B led by Insight Partners to accelerate our momentum.If you want your work on shelves everywhere — and outsized ownership while you build — we'd love to meet you.<h2>THE ROLE</h2>CPG brands live and die by their ability to predict what’s coming — how much product will sell, where demand will land, and what a promotion will actually do to the business. At Confido, you’ll build models that help brands forecast sales, price products, and shape promotional strategy. You’ll work with an unusually broad dataset spanning sell-through, inventory, deductions, trade promotions, and supply-chain signals from 200+ brands — much of it messy, real-world data that makes the problems genuinely interesting. The models you build will directly influence decisions behind the products you see on store shelves every day.As a Data Scientist, you'll turn that data into models and analyses that ship inside the product — not slide decks. You'll work alongside our AI/ML engineering team to move from exploratory analysis to production-grade insight.<h2>What you'll work on</h2><ul><li>Demand and sales forecasting — improving prediction quality across thousands of noisy, real-world retail time series</li><li>Promotion effectiveness — measuring lift, price elasticity, and cannibalization so brands know which promotions actually pay</li><li>Data quality and evaluation — building the statistical checks that keep our models honest as messy data flows in</li></ul><h2>About you</h2><ul><li>5+ years of hands-on data science experience with real-world (not benchmark) data</li><li>Strong statistical foundations: regression, time-series methods, experiment design, uncertainty quantification</li><li>Fluent in Python and SQL; comfortable working in a modern data stack (we use Snowflake and dbt)</li><li>You care whether your analysis is right, not just whether it runs — you validate, sanity-check, and communicate uncertainty</li><li>You can explain a model to a non-technical brand operator and defend it to an ML engineer</li></ul><h2>Bonus</h2><ul><li>Experience with retail, CPG, supply chain, or demand-planning data</li><li>Experience shipping models into production systems (vs. offline analysis only)</li><li>Familiarity with forecasting at scale (hierarchical forecasting, intermittent demand)</li></ul>Stack: Python · SQL · Snowflake · dbt · AWS<h2>🌴 Perks + Benefits</h2><ul><li>Equity — own a meaningful piece of the company you’re helping build</li><li>Fully paid health coverage through Aetna — we cover 100% of employee premiums</li><li>Top-tier dental and vision coverage through Guardian</li><li>Carrot Fertility Pro — comprehensive fertility and family-forming support</li><li>12 weeks of paid parental leave</li><li>Unlimited PTO — plus regular 4-day holiday weekends we actually take</li><li>401(k) through Vestwell</li><li>Paid relocation support — we’ll help you make the move to NYC</li><li>Fully equipped workspace from day one — laptop, monitor, keyboard, and a $200 stipend to personalize your setup</li><li>Team perks — catered Friday lunches, team dinners, and unlimited coffee + snacks featuring products from the brands we work with</li></ul>Confido provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Senior Data Scientist

The brands on your kitchen shelf are run by people doing extraordinary work that nobody sees. We're building the platform they run on, and a brand they'll be proud to be part of. Confido is the AI operating system that runs cash application, deductions, trade and planning in one place for CPG brands. That means Finance, Sales, and Ops finally work on the same number. We’re trusted by 250+ brands managing $30B+ in revenue, including Daisy, OLIPOP, Simple Mills, Idahoan, and more. We've achieved best-in-class growth and recently raised a $55M Series B led by Insight Partners to accelerate our momentum.If you want your work on shelves everywhere — and outsized ownership while you build — we'd love to meet you.<h2>THE ROLE</h2>CPG brands live and die by their ability to predict what’s coming — how much product will sell, where demand will land, and what a promotion will actually do to the business. At Confido, you’ll build models that help brands forecast sales, price products, and shape promotional strategy. You’ll work with an unusually broad dataset spanning sell-through, inventory, deductions, trade promotions, and supply-chain signals from 200+ brands — much of it messy, real-world data that makes the problems genuinely interesting. The models you build will directly influence decisions behind the products you see on store shelves every day.As a Data Scientist, you'll turn that data into models and analyses that ship inside the product — not slide decks. You'll work alongside our AI/ML engineering team to move from exploratory analysis to production-grade insight.<h2>What you'll work on</h2><ul><li>Demand and sales forecasting — improving prediction quality across thousands of noisy, real-world retail time series</li><li>Promotion effectiveness — measuring lift, price elasticity, and cannibalization so brands know which promotions actually pay</li><li>Data quality and evaluation — building the statistical checks that keep our models honest as messy data flows in</li></ul><h2>About you</h2><ul><li>3-5+ years of hands-on data science experience with real-world (not benchmark) data</li><li>Strong statistical foundations: regression, time-series methods, experiment design, uncertainty quantification</li><li>Fluent in Python and SQL; comfortable working in a modern data stack (we use Snowflake and dbt)</li><li>You care whether your analysis is right, not just whether it runs — you validate, sanity-check, and communicate uncertainty</li><li>You can explain a model to a non-technical brand operator and defend it to an ML engineer</li></ul><h2>Bonus</h2><ul><li>Experience with retail, CPG, supply chain, or demand-planning data</li><li>Experience shipping models into production systems (vs. offline analysis only)</li><li>Familiarity with forecasting at scale (hierarchical forecasting, intermittent demand)</li></ul>Stack: Python · SQL · Snowflake · dbt · AWS<h2>🌴 Perks + Benefits</h2><ul><li>Equity — own a meaningful piece of the company you’re helping build</li><li>Fully paid health coverage through Aetna — we cover 100% of employee premiums</li><li>Top-tier dental and vision coverage through Guardian</li><li>Carrot Fertility Pro — comprehensive fertility and family-forming support</li><li>12 weeks of paid parental leave</li><li>Unlimited PTO — plus regular 4-day holiday weekends we actually take</li><li>401(k) through Vestwell</li><li>Paid relocation support — we’ll help you make the move to NYC</li><li>Fully equipped workspace from day one — laptop, monitor, keyboard, and a $200 stipend to personalize your setup</li><li>Team perks — catered Friday lunches, team dinners, and unlimited coffee + snacks featuring products from the brands we work with</li></ul>Confido provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Data Scientist

The brands on your kitchen shelf are run by people doing extraordinary work that nobody sees. We're building the platform they run on, and a brand they'll be proud to be part of. Confido is the AI operating system that runs cash application, deductions, trade and planning in one place for CPG brands. That means Finance, Sales, and Ops finally work on the same number. We’re trusted by 250+ brands managing $30B+ in revenue, including Daisy, OLIPOP, Simple Mills, Idahoan, and more. We've achieved best-in-class growth and recently raised a $55M Series B led by Insight Partners to accelerate our momentum.If you want your work on shelves everywhere — and outsized ownership while you build — we'd love to meet you.<h2> The Role</h2>Build the core AI behind Confido — and get your hands on an unusually rich, messy dataset: hundreds of thousands of documents across dozens of sources and hundreds of layouts and contexts, much of it beyond what any system reads well today.As an Applied AI / ML Engineer, you'll own AI problems end to end — research, prototyping, production, and the evaluation that keeps probabilistic systems reliable — across document understanding, forecasting, and agentic workflows.Location: New York, NY (Relocation supported)<h2> What you'll do</h2><ul><li>Build LLM systems that turn complex, inconsistent financial documents into clean, typed, validated data — the backbone the rest of the platform runs on</li><li>Design agentic workflows that retrieve and reason over fragmented enterprise systems, with the eval harnesses and guardrails to run them in production</li><li>Build and improve demand forecasting across thousands of intermittent series — classical time-series and gradient-boosted models, with rolling-origin backtesting and best-fit selection</li><li>Wrangle messy, real-world data: baselining, outlier and anomaly detection, entity reconciliation, and ingestion across heterogeneous sources</li><li>Own how we measure success — eval datasets, benchmarks, and monitoring for systems with no single "correct" answer</li></ul><h2> What we're looking for</h2> Required<ul><li>3+ years of applied AI / ML, with systems you've taken to production (not just prototypes)</li><li>Depth in at least one, and working fluency across several, of: time-series / forecasting and statistical modeling; LLM and agentic systems; large-scale messy-data engineering</li><li>You build evaluation and monitoring as a matter of course — and know which metric to trust, and how to avoid leakage and train/serve skew</li><li>Strong product sense: you turn AI capability into real outcomes, and know when a simpler approach wins</li><li>Masters degree in STEM</li></ul>Nice to have<ul><li>Demand forecasting / time-series (Prophet, ARIMA-family, gradient-boosted)</li><li>Agentic workflows, RAG, or retrieval systems in production</li><li>Document understanding / information extraction from unstructured sources</li><li>Startup experience or comfort in fast-moving environments </li></ul><h2>🌴 Perks + Benefits</h2><ul><li>Equity — own a meaningful piece of the company you’re helping build</li><li>Fully paid health coverage through Aetna — we cover 100% of employee premiums</li><li>Top-tier dental and vision coverage through Guardian</li><li>Carrot Fertility Pro — comprehensive fertility and family-forming support</li><li>12 weeks of paid parental leave</li><li>Unlimited PTO — plus regular 4-day holiday weekends we actually take</li><li>401(k) through Vestwell</li><li>Paid relocation support — we’ll help you make the move to NYC</li><li>Fully equipped workspace from day one — laptop, monitor, keyboard, and a $200 stipend to personalize your setup</li><li>Team perks — catered Friday lunches, team dinners, and unlimited coffee + snacks featuring products from the brands we work with</li></ul>Confido provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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Senior ML Ops Engineer

Data Analyst

Senior Data Scientist

Data Scientist

Applied AI/ML Engineer

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