Join the Autonomous Supply Chains Revolution



Current Openings -- as of 2021/06/29



DeepVu is building the AI layer for supply-chain intelligence and maximizing margins for manufacturers. We are focused on Consumer goods, Consructions, Electronics and HealthCare verticals.
We don't like trivial problems and don't shy away from hard problems, but we quickly research and validate what's still research-stage and isn't yet commercially viable. If we're unsure, we consult the brain-trust of renowed experts.
We value innovation, results-focused smart-work, responsibility, team spirit, honesty, positive energy and enjoying the journey, and making it enjoyable for the rest of the team. You're cognizant of both your IQ+EQ and you're optimisitic with a positive outlook, while always considering the company's objectives first. You're inclined to given every proposal the benefit of the doubt, with the possibility of your hunch being wrong, then you let the test results speak. It'd be awesome if your values and your approach aligns with most of the above.

However, above all, our singular focus is on delighting our customers and their end-users with perfect products that are responsibly and sustainably manufactured, smartly priced and ship on-time that breeds customer love and loyalty.

AI is finally here, and it's one the hottest areas for manufacturing and supplychain/logisitcs. There's never been a better time to help build an AI company in this cirical life and planet saving space!

Are you passionate about AI in the enterprise and the autonomous world? Are you passionate about manufacturing and supply chain? Are you passionate about taking action to drive sustainability and protecting the environment via efficient processes, optimizing production and logistics, eliminating waste, optimizing pricing and preventing stock-outs and optimizing shelf availability? If you've answered yes to most of these, we'd love to meet with you.
DeepVu is a Berkeley based AI company that’s ranked in the top 10 in industrials and supply chain. DeepVu is an AI service for autonomous supply chains and driving efficiencies and sustainability for consumer goods manufacturers via smarter self-optimizing integrated business planning.

You will be a core member of the leadership team reporting to the CEO. This is a partner-level role with a very competitive equity stake and executive package. You'll have a stake in every strategic company decision. You will be responsible for building out global sales and customer success operations, and driving strategy and execution of DeepVu's enterprise partnership/subscription revenue. You will be in charge of sourcing and closing key customer deals with manufacturers in multiple regions. The position is based in silicon valley, but clearly will require frequent travel, hence you could work out of Los Angeles, Atlanta, Boston, Chicago, Philly, or NYC or similar manufacturing hubs, and you don't need to relocate. You have to have held a similar role at a director capacity or above at an enterprise/cloud software company with a SaaS revenue model, and have generated at least $15M in revenue in less than 3 years. You have to have direct C-level relationships at over 30 Fortune500 manufacturers, preferably at CPG, Electronics, Apparel, Beauty, Pharma, or other consumer goods manufacturers.

You need to be a hands on awesome thought leader who inspires and mentors colleagues and direct reports with clear thinking, market insight, customer understanding, problem solving, and top-notch enterprise deal making skills. You will be a team player in the C-suite and have the ability to build rapport with everyone in the company, and have an solid set of relationships with executives in the manufacturing industry. Over time, as we scale the business, you will build a team of enterprise sales reps and SDRs reporting to you.
The bottom line is that we think job descriptions are BS, and we'd rather excite you about your impact at our company. We expect you to deliver 3 Fortune500 customers within 9 months of joining and over $7M in ARR within 18 months. If that's within your reach, we'd be excited to meet very soon. Undergraduate degree or minor in CS/EE/Math/Physics is preferred. The position carries a very significant equity stake, and is available to start immediately. Reference checks are required.
We are looking for a super-star Director of product management with experience driving and launching SaaS productss from inception stage to launch. You need to be passionate about AI for manufacturing and supply chain optimization, automation and digital transformation at massive scale, and building the worlds best user experience for our unique autonomous business planning solutions. You need to be an awesome problem solver, take ownership of the product yet be open to suggestions and critiques from everyone internally and externally. You will be treated as the CEO of the product. The bottom line is that we think job descriptions are BS, and we'd rather excite you about your impact at our company. We expect you to double conversion rate within 6 months of joining, and quadruple it within 18 months. If that's within your reach, we'd be excited to meet very soon. Requires: MS + 3 years experience in enterprise B2B software space. BS degree in Computer science, Math, Engineering or Physics is preferred. The position carries a very significant equity stake, and is available to start immediately.
The Head of marketing is a key role that will report to the CEO and work very closely with the CRO and the rest of the leadership. We're looking for a senior canddiate with entrepreneurial drive and thought leadership to drive inbound and outbound marketing programs. You need to be passionate about autonomous supply chains and driving manufacturing efficiencies and sustainability. The bottom line is that we think job descriptions are BS, and we'd rather excite you about your impact at our company. We expect you to quadruple our traffic within 6 months and then double it again within 12 months. We'd also expect you to double our website conversion rate within 6 months of joining, and quadruple it within 18 months. If that's exciting and within your reach, we'd be excited to meet very soon. The ideal candidate would have:
  • Broad and deep experience in marketing or product management within consumer goods manufacturing or ecommerce ecosystems

  • Experience in inbound and outbound roles

  • Prior B2B startup experience as well as direct experience leading marketing teams including messaging, positioning, social media strategies, and go-to-market for a V1.0 product

  • Experience leading early lead gen and sales channel development experience (direct and indirect)

  • Natural leadership skills, a calm demeanor and a track record of successfully delivering disruptive products to market

  • A genuine passion for your products and an endless fountain of energy!
Currently, we are looking for highly innovative energetic principal data scientsts with experience in enterprise scale deep learning, forecasting and decisioning model. You are an awesome problem solver who is both methodical and creative. You can learn any new technology, are not ashamed of admitting errors, love to take on new challenges, and a great team player. Strong algorithmic background is required and will be thoroughly evaluated. Strong at-scale experience building decisioning models using Deep Reinforcement Learning or other approaches is a must. Experience building and deploying high performance deep-learning models using either Tensorflow or PyTorch on significant complexity industrial/commercial data-sets is a must. Preference will be given to candidates with significant time-series modeling experience.

We'd love to chat if you have:

  • A PhD or MS in an analytical field such as CS, EE, Statistics, Math, or Physics, from a top 10 AI university is required, along with a minimum 6 years industry experience building reference-able work.
  • Proficiency in Python and machine learning libraries such as Scikit-learn, Pandas, Tensorflow, PyTorch, etc
  • Demonstrated strong experience with Deep Reinforcement Learning
  • Experience building large scale models with Reinforcement learning, LSTMs, CNNs, GANs, and Gradient Boosting is required.
  • Experience deploying end-to-end ML models to production
  • Experience with time-series data analysis
  • Efficient communicator with customers as well as across all levels of the organization
  • Comfortable with remote work and distributed team

Extra Brownie Points:

  • Experience with Docker, and Kubernetes
  • "Big Data" solutions such as Spark, and Kafka
  • Experience with cloud environments such as AWS/GCP/Azure


  • If you want to get into the founding engineering team of one of the valley's top teams developing one of the most innovative and unique cloud AI SaaS in multi-trillion USD industry sectors with massive global implications on the planet and humanity, you've found it and we would love to hear from you very soon.
    DeepVu is looking for highly innovative energetic leader for a Sr Director role to lead a strike team of data scientists and AI/ML engineers. This is a player/coach role. You'll need to have 7+ years of industry experience and hopefully at least 2 years of management/leadership experience in enterprise scale deep learning, forecasting and decisioning model.

    You are an awesome problem solver who is both methodical and creative. You can learn any new technology, are not ashamed of admitting errors of judgement or execution, love to take on new challenges, and a great team player. You enjoy building diverse teams with disparate backgrounds and strengths and you build everyone up and ensure everyone is respected and empowered.
    Strong algorithmic background is required and will be thoroughly evaluated. Strong at-scale experience building decisioning models using Deep Reinforcement Learning or other approaches is a must. Experience building large scale models with RNNs, CNNs and Gradient Boosting is required. Experience building and deploying high performance deep-learning models using either Tensorflow or PyTorch on significant complexity industrial/commercial data-sets is a must. Preference will be given to candidates with significant time-series modeling experience. Computer vision and NLP experience is a plus.

    A PhD or MS from a top 10 AI university is required, along with a minimum of 5 years industry experience at a leading AI technology companies building reference-able work. This role can be based in Canada or in the bayarea.

    If you want to get into the founding engineering team of one of the valley's top teams developing one of the most innovative and unique cloud AI SaaS in multi-trillion USD industry sectors with massive global implications on the planet and humanity, you've found it and we would love to hear from you very soon.
    Currently, we are looking for data scientsts with experience in enterprise scale deep learning, forecasting and decisioning model. You are an awesome problem solver who is both methodical and creative. You can learn any new technology, are not ashamed of admitting errors, love to take on new challenges, and a great team player. Strong algorithmic background is required and will be thoroughly evaluated. Strong at-scale experience building decisioning models using Deep Reinforcement Learning or other approaches is a must. Experience building large scale models with RNNs, CNNs and Gradient Boosting is desired but not required. Experience building and deploying high performance deep-learning models using either Tensorflow or PyTorch on significant complexity industrial/commercial data-sets is a must. Preference will be given to candidates with significant time-series modeling experience. Computer vision and NLP experience is a plus.

    We'd love to chat if you have:

    • A PhD or MS in an analytical field such as CS, EE, Statistics, Math, or Physics, from a top 20 research university, along with a minimum 2 years industry experience building reference-able work.
    • Proficiency in Python and machine learning libraries such as Scikit-learn, Pandas, Tensorflow, PyTorch, etc
    • Demonstrated strong experience with deep learning
    • Experience deploying end-to-end ML models to production
    • Experience with time-series data analysis
    • Experience in software engineering
    • Quick learner, ability to learn independently
    • Comfortable with remote work and distributed team
    • Excellent written and oral communication skills

    Extra Brownie Points:

  • Familiarity with Web Dev tools such as Flask and JavaScript is a plus
  • Experience with Docker, and Kubernetes
  • "Big Data" solutions such as Spark, and Kafka
  • Experience with cloud environments such as AWS/GCP/Azure


  • If you want to get into the founding engineering team of one of the valley's top teams developing one of the most innovative and unique cloud AI services in multi-trillion USD industry sectors with massive global implications on the planet and humanity, you've found it and we would love to hear from you very soon.
    Currently, we are looking for senior backend software engineer. You are an awesome problem solver who is both methodical and creative. You can learn any new technology, are not ashamed of admitting errors, love to take on new challenges, and a great team player.
    DeepVu uses both AWS and G-Cloud as different customers have different cloud and integration preferences. Our stack includes AWS (EKS, EC2, S3, Textract, CloudWatch) and Gcloud (CE, GKE, CS, SQL) and our own Python AI/ML clusters, and web microservices, dashboards, and visualization. Strong algorithmic background is required and will be thoroughly evaluated. The ideal candidate would have
    • Minimum 4 years experience writing and maintaning production quality code

    • Solid understnading of and passion for distibuted systems

    • Obsession with performance tuning and delighting customers with the best use experience

    • 2 years experience with Kubernetes

    • Motivation and insatiable hunger for continuous learning and growth to be the best engineer in your specialization

    • You're a team playersupportive of everyone in the team and understand that it takes the entire team to succeed
    Preference will be given to candidates with significant experience at an AI/ML startup that's deployed cloud solutions at scale. Experience integrating with SAP/Oralce ERP is a plus but not required

    Minimum 4 years industry experience building reference-able work is required. B.Sc in CS or an engineering discipline is required.

    If you want to get into the founding engineering team of one of the valley's top teams developing one of the most innovative and unique cloud AI services in multi-trillion USD industry sectors with massive global implications on the planet and humanity, you've found it and we would love to hear from you very soon.

    Sound exciting? please submit your resume to resumes@deepvu.co