Offering Manager in NEW YORK, New York | DiversityInc Careers

Offering Manager

Job Description
Know what it feels like to finally find the nugget of necessary knowledge needed to unlock revenue? Our team does. We are a team that growth hacks the enterprise.
Our team is called “Growth Engine” in IBM’s Digital Business Group. We do three things:
  • capture usage data for people who use IBM products
  • develop an API for serving govern-able data to other teams
  • advocate for the usage of that product usage data for:
    • improving product-market
    • optimizing sales processes
    • targeting marketing campaigns
    • guiding customer experiences through in-app and email nudge campaigns
    • and more
For this role, we are looking for efficiency engineers who can employ data in a wide range of domains. You will basically go around IBM sales / support / marketing / product teams looking to do internal growth hacks that improve performance and drive revenue.
It's not all rosy though – everyday isn't running around sprinklingly revenue-pixy dust on other teams. As with any team who challenges the status quo, environmental chaos may leak through. Be comforted that we are building a team for the long-run. As part of this, we look for ways to reduce / redirect unplanned urgency. We do this through experiments and optimizations of our own working environment as much as we look at others. Thus, the role does require flexilbity, ability to handle stress, and ambiguity.
We are a lean and mean team. We currently have a team of 3 product managers, and 8 engineers. We are looking to add 2 new product manager roles. The day-to-day of these roles is research, connections, and execution of hypothesis inside IBM. Day-to-day research consists of crunching data, formal and informal conversations with data scientists, making hypothesis, connecting teams, connecting data — basically “uncovering problems and hacking solutions.”
From there, form a hypothesis and validate that hypothesis. For successful experiments, the goal is the enterprise-wide “process-ification” of the learned knowledge.

Required Technical and Professional Expertise

  • knowledge of business functions and systems — sales, support, and marketing
  • data — JSON, attributes, key-value, metrics, KPIs
  • persuasion — ability to influence other teams, which we do not control
  • resilience — sometimes, influence and best-practice fails to move the counter-party; when that happens, self-resilience is important.
  • subversion — in a good way; confident and competent enough to ask for forgiveness, not permission.
  • curiosity and self-directing research – know what you don't know and know how to extract it.

Preferred Tech and Prof Experience

  • none

EO Statement
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.