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Company

WhispirSee more

addressAddressMelbourne
CategoryManagement

Job description

About Us

It's our mission to build a world that communicates more humanly. Since 2001, we've been delivering innovative and powerful communication solutions. Today, we're a communication intelligence company applying powerful machine intelligence and carefully developed algorithms to deliver effective human engagement at scale even when we are not face to face — all guided by our values of Listening, Respect, Innovation, and Passion.

Our customers use Whispir to communicate across multiple channels from SMS to email, to dynamic landing pages, voice and more – all easily configured to meet their specific needs. All of our customers benefit from our low code – no code platform and powerful APIs. Our promise is to deliver a platform capable of achieving the world's highest engagement rates.


About the Position

The position will play a key role in the Data and Analytics team at Whispir. Working closely with the Director of Product Management, you will be owning and driving the data products including our Data Platform and ML/AI features, both externally and internally facing. You will also own and execute the team's product roadmap, identifying key opportunities for the team. You'll be a data evangelist, helping make data as a first class citizen, overseeing and finessing its full life cycle in the data supply chain, working with producers and consumers ensuring data is fit for purpose.

Similar to a traditional product role, however, instead of treating data as a raw material, treating it as a product.

This position will play a key role in championing data literacy across Whispir, raising awareness of the value data initiatives bring to internal and external consumers.

Key areas of responsibility include, but are not limited to, research, analytics, platforms, technology, infrastructure, AI & Machine learning, and data standardisation.


Key responsibilities:

  • We empower our product teams to solve hard problems – customer problems and business problems – in ways that our customers love, yet work for our business. Our product teams are cross-functional and durable, generally composed of a product manager, a product designer, and several engineers.
  • We staff our product teams with the skills necessary to come up with effective solutions that are valuable (our customers choose to buy or use), viable (the solution works within the many constraints of the business), usable (the user can figure out how to use) and feasible (our engineers have the skills and technology to implement).
  • While the product designer is accountable for ensuring the solution is usable, and the engineers are accountable for ensuring the solution is feasible, the product manager is accountable for ensuring the solution is both valuable and viable.
  • This means that the product manager must contribute to her product team a solid knowledge of the various constraints of the business – constraints from marketing, sales, service, finance, legal, and privacy are typical examples. The product manager must also contribute to the product team a deep knowledge of our users and customers, and the data about how our customers engage with our products. Finally, the product manager is expected to track industry trends and the competitive landscape as they pertain to her product.
  • Takes the lead in defining goals for data that align to the broader company and product vision, and associated OKRs.
  • Translating the requirements of large data initiatives into smaller, actionable pieces that can be delivered in lean slices of value.
  • While each member of the product team may be accountable for a specific risk, we look for product managers that understand that consistent innovation is the result of each member of the product team contributing their passion and their ideas. The product manager must collaborate closely with her product designer and engineers to discover effective solutions, and then work together to deliver those solutions to market.
  • While we empower our product teams to figure out the best solutions to the problems that need to be solved, we also hold those teams accountable to the results. Shipping is necessary, but not sufficient. We look for product managers that are not afraid of signing up for results, even when this means they have to work through others to achieve the necessary results.
  • This job, as with the other roles on the product team, is an individual contributor role. You will need to be able to influence your teammates, as well as colleagues, stakeholders, and key executives, through your use of data and logic.
  • This role will have you regularly assessing movements and trends within the marketplace conducting, mapping out data personas and consumers profiles, in addition to overseeing revenue modeling, positioning and pricing for data products.

How you'll spend your time

Every team is different, but this is roughly how you should probably expect to spend your time.

  • Preparing backlog candidates and running a discovery track to learn what to build and why (30%)
  • Reviewing data from the platform via things like Segment, Fullstory, Mixpanel etc. (10%)
  • Un-blocking the team (20%)
  • Talking to customers (20%)
  • Working with internal stakeholders to collect insights (10%)
  • Administration / Meetings (10%)

About you:

  • Interpret data and derive meaningful insights
  • Analyse the competitive landscape
  • Quickly make trade-offs that are logical and based on first principles
  • Align the roadmaps with other teams to create a consistent product.
  • Provide clear council and advice to the teams to ensure they understand what they are building, who they are building it for, and why they are building it now.
  • Estimate market sizing (or feature usage) for your ideas.
  • Strong technical background, you understand how data & analytics problems are solve, end to end.
  • Experience working or leading in a data team would be ideal

Concepts you must fully understand and practice

  • How to build and execute a discovery roadmap.
  • JTBD (Jobs to be done)
  • Agile delivery routines & practices
  • Backlog grooming

Anti-patterns

  • Don't ship features if you haven't shown them to customers and validated they are usable and desirable.
  • Planning roadmaps without taking into consideration constraints is not good.
  • Don't get stuck and not say something to the delivery managers or your managers.
  • Don't ship things and neglect to measure if your ideas were effective using data.
  • Don't spend too much time in meetings - it will drain your time away from things that really matter here. You should feel totally empowered to not have to respond to every slack message, every email or attend every meeting. If you can't add value to a meeting, politely excuse yourself and leave the meeting.

Why We Think You Will Love Working at Whispir:

  • Totally flexible working hours because you know how to get the most out of your day
  • Birthday paid leave
  • Volunteer and engage with community paid leave
  • Ongoing monthly WFH allowance
  • Women of Whispir program to connect senior female leaders with women across the company to promote connection, networking, and mentoring opportunities

Whispir is an endorsed employer for all women; check out our benefits directly at WORK180: Whispir Benefits | WORK180 Endorsed Employer

Diversity & Inclusion

Whispir places a high value on inclusion. Those from under represented communities are encouraged to apply. This includes, but is definitely not limited to, people with a lived-experience of mental ill health, culturally and linguistically diverse people, LGBTQIA+ people, and people with disabilities.

We take our core values seriously and work hard to create an environment where you feel welcomed. Teams who reflect a diversity of experience, identity, perspective, and background help us to create a healthy & inclusive working culture


If this has resonated with you, we look forward to hearing from you soon!

Refer code: 292568. Whispir - The previous day - 2022-10-02 12:00

Whispir

Melbourne
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