Our Client as a Outsourcing Company

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Improve data teams’ productivity by bringing software engineering best practices to Data Analytics.

And as a Product Manager, you will be able to learn and get involved in building a simple yet powerful high-tech product that is directly shaping the data industry.

Product Principles inform how we build, design, and make decisions when developing products.

• Always start with problem: The key to success is identifying the right problem to solve. Always start everything with deeply understanding of the problems to be solved, be clearly aware of the problem and solution spaces.
• Customer-Centric: We build products to make our customers’ lives better. Constantly talk to our customers and observe how they use product to understand deeply their challenges at work.
• Think Deep, Think Big, Start Small: Think in long-term, envision how the product will evolve and fit into the big picture. Then start with a smallest coherent solution. Always ask yourself how can you ship sooner and learn faster.
• Simple things should be simple, complex things should be possible: Data Analytics is huge space, and data tools are usually complex. We challenge ourselves to build a powerful analytics product that is also easy to use, allowing anyone to make data-informed decisions.
• Prioritize Ruthlessly: We must deprioritize a lot of things in order to do what we prioritize. Each feature increases maintenance cost, operational cost, and the product complexity. It is better to focus on doing a few things well than many things half-assed.
• Empowered Product Team: We always start with the problem, instead of a list of features, everyone is empowered to dig deeper into the problem space, define their own approach and strategy to solve the problem. We substantially invest in individuals to reach their potential, because we believe each individual’s success generates compounding growth for the entire product.

Responsibilities

Learn by doing, be the owner of what you build (Discover, Build, Launch, Measure, Learn, Lead)

• Discover: Understand the market and users by leading user/market/competitive research to scope out the right problems, and formulate product strategy for Products.
• Build: Translate product strategy to executable plans and objectives, collaborate with Engineering & Design teams to come up with the desirable solutions.
• Launch: Launch the final features/products to the market, clearly communicate product values to users and internal stakeholders.
• Measure: Define success metrics, learn from numbers and customer feedback to improve the products.
• Learn: Learn from what you built and shipped, continuously experiment and enhance the quality of the products.
• Lead: Own the products/features, become a decision-maker, and inspire your teammates to achieve the missions together.

Requirements

We’re looking for a Product Manager who’s excited by this vision to join us on this ambitious product. Freshers are welcome if you believe you are a good fit.

• You love problem-solving, you find it unpleasant when a problem goes unsolved, you want to figure out the root cause to come up with a proper solution.
• You have entrepreneurial spirit. You want to learn how a business or startup operates so that you can eventually start your own.
• You are a lifelong leaner, who are curious how the everything works and strive to grow yourself everyday.
• You treat yourselves like a product, always iterating and improving to deliver more value.
• You believe and want to prove that a Vietnam-based Product & Engineering Team can build a world-class product.
• Genuine interest in the space: We’d love to work with people who are genuinely interested in the product and the space we’re in.
• Great English writing and communication skills.
• Bonus – You are a builder: You have built and launched your own product, or you have a plan to do so.
• You are welcome if you believe you are good at at least 3 of the skills listed in our competency model, we will help you develop the rest: Fluency with Data, Customer Interview and Qualitative Research, User Experience, Market and Competitive Research, Product Design, Writing Feature Specs, Product Delivery, Product Vision, Strategy and Roadmapping, Business Outcome Ownership, Managing up, Team Leadership, Stakeholder Management

Benefits

• 24/7 Healthcare Insurance, Periodic Medical Checkup.
• Salary regular reviews, 13-month Bonus.
• Stock Options for high-contributing individuals.
• A flexible work culture, Regular reviews, Remote policy.
• 14 Annual leaves/year, 14 Sick leaves/year, Children care leave policy.
• Weekly happy hours. Company trip and company-organized events.
• MacBook (or Laptop) Grant.
• Mechanical Keyboard + Razer Mouse.
• Big-screen monitor(s).
• Weekly TED talks to expand skills and knowledge.
• Yearly budget to support personal and professional growth, well-beings and interest cultivations.

Interview process

• Round 1: Technical interview with Product team (You are expected to handle an end-to-end product management process)
• Round 2: A short chat with Product Manager (Short chat to introduce Company, our product, discuss to understand your skills and experiences)
• Round 3: Do take-home assignment (offline – deadline 3 days, will be sent after Round 2)‍

Our Clients is a Solutions Company.

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Our Client is a Solutions Company

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Roles & Responsibilities

• You will develop, segmentation, and campaign analytical features using Python, Go, Clickhouse, Redis, Postgrest, Kafka, and much more.
  • For example, our clients use segmentation to personalize user’s experiences. You may introduce new adjust existing business logic of our segmentation, improve the performance of million users segmentation by updating daily processes, or you may help us to research and implement a new execution/scheduling engine to fairly distribute resources among our happy clients.
• You will take your hand dirty on PMB – Metrics Builder, a core component of our data engineering platform.
  • PMB may process the calculation and updating of thousand metrics over TBs data volume in both real-time and batch orientations with interactive drag/drop UI.
• You will review the code of your peers and they’ll review yours. We are going to get high code quality standards and the four-eyes principle is a must!
• You will start on easier, self-contained projects and once you feel at home, you can move to real beasts. Challenging, complex projects that will leave a mark – we have plenty of those.
• Last but not least, we have some kind of legacy code that are being replaced by better things, but somehow we still have to maintain them in the dark.

Job requirements:

• You have experience with Python and a solid grasp of engineering practices.
  • We use FastAPI, Faust, Dask, Numpy, and Pandas for Python. You don’t need to know all of these tools but you should be a fast-picking up person to learn.
• If you have an experience with Go or C++, that’s a big advantage.
• You are able to learn and adapt. It’ll be handy while exploring new tech, navigating our not-so-small code base, or when iterating on our team processes.
• You are willing to learn about the monitoring of the production systems, database internals, and the development of distributed systems.
• Experienced in MPP or Big Data Platform tools ( Spark/Flink/Presto ) is a big plus.

An optional but good plus if candidates own below experience:

• Martech experience (DMPs, DSP, Emails, CDP, CDXP …).
• Work experience in B2B SaaS in online retail/e-commerce analytics, and marketing.
• Work experience in engineering team in retail/commerce companies.

Special Benefits:

• Work directly with industry experts and market leaders in DX, CX, digital-data-tech as well as named customers.
• Being a part of the awesome team building Company Data CDP – the pioneering science-first customer data & experience platform.
• Flexible, open, and innovative environment.