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Vividly is the leading modern trade promotion management (TPM) solution built by and for the consumer packaged goods industry. From campaign creation to deductions management and promotion measurement, we help brands manage every element of trade spend. With our easy-to-use platform and industry-leading experience, we pride ourselves on our ability to bring businesses to the next level.
Not familiar with trade promotion spend? That’s OK. Most people aren’t. It’s an $8 trillion dollar problem that is ripe for disruption by an innovative SaaS startup. In order to grow, consumer packaged goods (CPG) brands spend 20% of their topline revenue to get into retailers and promote their products within those retailers. The problem is that today 70% of those promotions are not ROI positive. This is because ROI is hard to track. The industry operates on emails, pdfs, and xls spreadsheets. At Vividly, we’re solving this massive problem with exciting tactics including AI, Machine Learning, and Fintech and adding value to everyone in the chain. Some of our customers include brands you may use and love - Liquid Death, Amy’s, and Laird Superfoods.
We are looking for a AI/ML Engineer to help us reach our goals!
At Vividly, we’re redefining how CPG brands plan, optimize, and execute trade promotions — and machine learning is at the heart of that transformation.
As a dedicated Machine Learning Engineer, you won’t be building models for the sake of dashboards. You’ll be creating the intelligence layer behind mission-critical workflows used by some of the world’s top consumer brands — influencing what goes on sale, when, where, and why.
This role is ideal for someone who loves the full lifecycle of applied ML: from wrangling messy real-world data (hello, POS data feeds) to designing predictive models that solve clear business problems, to deploying those models in production and iterating based on real user behavior. You’ll work closely with product managers, engineers, and domain experts to bring smart, data-driven features to life — including:
- Lift prediction models that help users understand what a promotion is really worth
- Price elasticity and ROI tools that guide decision-making on pricing strategies
- Chat-based planning assistants powered by LLMs that help users build smarter campaigns, faster
- Prescriptive dashboards that don’t just describe what happened — they suggest what to do next
We’re not looking for someone to sit in a corner and prototype notebooks. We’re looking for a builder. You will bring modeling, data pipelines and ML to life in production in ways that directly shape the customer experience.
You’ll have autonomy, technical ownership, and a chance to leave your fingerprints on a platform used by industry giants — all while working in a tight-knit, ambitious startup environment.
What We Look For
- 5+ years of experience in machine learning, data science, or a related field.
- Strong Python programming skills and proficiency with ML frameworks (e.g., scikit-learn, XGBoost, TensorFlow, or PyTorch).
- Experience designing and deploying machine learning models, particularly for time-series, regression, causal inference, or forecasting use cases.
- Proficiency in SQL and experience with data modeling to support analytical and operational workflows.
- Ability to contribute to full-stack development and DevOps needs when integrating AI and ML features.
- Hands-on experience building and maintaining ETL/ELT pipelines and working with orchestration tools (e.g., Airflow or Dagster).
- Familiarity with modern cloud-based data stacks (e.g., GCP, BigQuery) and version-controlled infrastructure (e.g., Terraform).
- Strong analytical and debugging skills, especially with complex or messy real-world data
What Would Be Nice To Have
- Exposure to event-driven architectures and real-time processing frameworks (e.g., Kafka, Pub/Sub, or Flink)
- Experience with BI tools like Looker or Sigma
- Background in data governance, privacy, compliance, or ML model interpretability.
- Knowledge of data governance best practices, including security, privacy, compliance, data quality management, AI modeling, and data infrastructure.
Why Choose Vividly?
A modern, remote-first workplace
We are committed to succeeding as a fully remote team, empowering you with the flexibility to thrive, no commute required. Every Vividly team member receives a stipend upon hire to help create a comfortable, productive home office.
Vividly days off & flexible PTO
For most USA holidays that fall on a Monday or Friday, we turn it into a 4 day weekend! Vividly also offers Flexible Time Off and we really mean it to help prevent burn out and fuel creativity.
Competitive Benefits
- Healthcare, Dental and Vision - We cover 100% of your monthly premiums and 50% of all dependents
- 401(k) - With a 3% employer contribution
- Weekly $20 Sharebite Meal Stipend - For every meal you purchase using your Sharebite stipend, they donate a meal!
- Monthly $50 Wellness Reimbursement - physical wellness, mental wellness, learning & development - we’ve got you!
- Monthly $200 Remote Work Stipend - Use it for your phone bill and internet
Commitment to our values - The Vividly Code
- Kind Ambition: We are ambitious but our desire to succeed does not mean unkind or unethical behavior. We push boundaries, deny norms and experiment. We do that with kindness. We are empathetic to the struggles and challenges other functions face.
- Keep it Real: We do not have time for games or politics. We are honest, transparent, and authentic. We celebrate our differences and our similarities with equal enthusiasm.
- Customer Love: The customer is at the heart of every decision - we love our customers. Everything starts and ends with them. We actively listen and anticipate their needs. We are trusted advisors. That sometimes requires tough love.
- Own It: We take responsibility for our work, our successes, and our failures. When we see something that needs to be done, we do it. If we can’t do it, we own finding somebody that can. Ownership helps us grow - be receptive if the right owner is you!
- Urgency Wins: We work with purpose and speed. We know that shorter time to value makes our customers more successful. We constantly wonder how we can do it faster. We fix things that are slowing us down, while still maintaining excellence. We know that the vast majority of decisions are reversible - we make them quickly.
- Pull Together: We reach our goals faster when pulling in the same direction. We actively seek alignment - but not necessarily consensus. Siloed thinking is unwelcome and drives defensiveness and unhelpful friction. When things go wrong, we pull together to fix them.
Please note: Vividly will never request sensitive information such as your social security number, bank account information, or other non-publicly available information during the application and interview process. If an applicant is extended an offer of employment, such sensitive information will be requested at that time during the onboarding process. Vividly will never ask you to receive and ship packages or goods as part of the interview. Other practices to be on alert for:
- Contact initiated via unsolicited text message or cold call. Vividly does not follow up with candidates through instant messaging applications.
- Our Talent Acquisition team only corresponds from email addresses with the domain ‘@govividly.com’. If a generic email ID ending with Gmail/Yahoo or other domain is used while receiving a job offer or interview call, there is a likelihood of a scammer.
- While some of our jobs can be found on third party job sites, all of our current job opportunities and descriptions are posted on Vividly’s Careers page, or our official LinkedIn Company Page
The U.S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from recruiting scams and financial fraud. If you believe you were a victim of such a scam, you may contact your local law enforcement agencies. Vividly is not responsible for any claims, liability, losses, damages, or expenses resulting from scammers or impersonators.
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