Machine Learning Solutions Architect (Individual Contributor)

Note for Applicants: 

The requirements listed in the below description are simply guidelines, and you do not need to satisfy every requirement or meet every qualification listed.  We encourage you to apply if you feel your experience is transferable to what our company is looking for.  Applying gives you the opportunity to be considered and we look forward to reviewing your application!

OfferFit was founded by ex-McKinsey and BCG math PhDs, and we’re funded by leading Silicon Valley VCs. OfferFit replaces A/B testing with automated experimentation, powered by self-learning AI. This allows lifecycle marketers to test & improve the performance of their campaigns much faster than before. Customers include leading brands like Brinks Home (leading home security company) and Engie (multinational electric utility), among many others.

The Machine Learning Solutions Architect is a critical individual contributor role on our growing Implementation & Customer Success team. In this role, you will work with our enterprise customers (pre-sales and post-sales) to plan for the deployment of OfferFit in the context of their complex and evolving tech stacks. You will play a key role in sales pursuits by setting up and running proofs-of-concept, and leading discussions of a highly technical nature (e.g., deep dives into product functionality, possible integration approaches) fielded by technical stakeholders. Finally, you will collaborate hands-on with OfferFit’s engineering team to drive the architecture roadmap of our own products and services, leveraging your architecture design expertise and hands-on capabilities.

In particular, you will:

• Be a technical expert on all aspects of OfferFit

• Work with customers, OfferFit teams and integration partners to successfully position and deploy OfferFit in customer environments, in the context of their current and future state IT landscape

• Set up and run OfferFit proofs-of-concept with prospective customers

• Lead sales discussions with highly technical customer stakeholders (e.g., architecture, data platform, data science)

• Maintain deep understanding of competitive and complementary technologies and vendors and how to position OfferFit in relation to them

• Work hands-on with OfferFit’s engineering team to improve our infrastructure

• Collaborate cross-functionally (e.g., product, engineering) to continuously improve OfferFit’s products and externally facing materials

• Support other members of the Implementation, Sales and Engineering teams to develop their expertise

Ideal candidates are:

• Experienced working directly with enterprise customers (in particular, architecture SMEs)

• Very familiar with common architecture patterns and tools (e.g., common cloud platforms, data platforms, CDPs, activation platforms)

• Comfortable being “hands-on” in a broad range of areas including cloud architecture, ETL, security, performance analysis, and analytics

Why is it great:

1. Be the face of the company, working alongside our customers to help them succeed.

2. Lead the AI transformation happening in marketing technology today — OfferFit is at the forefront, so you’ll be in the middle of the action.

3. Get in at an early stage to help define the vision, shape culture, and hire more awesome people across all engineering teams.

4. Work in a team that not only talks the talk of development best practices, but walks the walk — unit & integration tests, modular design, CI/CD, pair programming, code reviews — the works.

5. Join OfferFit’s fast-paced, supportive, and professional team. We make sure all of our team members are empowered and receive great mentorship and coaching.

Who’s a fit: 

• Entrepreneurial: you take initiative, work around obstacles, and always seek creative ways to get to the next level

• Technology enthusiast: you are passionate about new technologies and their potential to impact business-as-usual

• People person: you build trust-based relationships with external partners, and combine empathy with a willingness to have direct, challenging conversations

• Analytically-driven: You are able to draw insights from raw data and perform analysis that is helpful and clear to customers

• Structured and organized: you can structure a plan, align stakeholders, and see it through to execution

• Clear communicator: you are able to express yourself clearly and persuasively, both in writing and speech

The base salary range for this position in the United States is $207,000 - 287,000 per year;  Eligibility for an end of year performance bonus, commissions (when applicable) and/or equity options may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on the position offered. For non-US based candidates, base pay and overall compensation packages will be adjusted based on location.  Applicants should apply via OfferFit’s internal or external careers site.

Company Benefits and Perks:

• Generous PTO policy (starting at 25 days PTO per year)

• 100% remote work environment with flexible hours 

• Quarterly gatherings where we meet in person in a different city to work together, bond as a team and celebrate our progress

• Weekly team events (lunch and learns, trivia, virtual escape rooms, town hall and team health “barometer” meetings)

• Ability to learn and develop from an experienced leadership team (ex-Amazon, McKinsey, BCG, and IBM, among others) who are focused on building a talented, diverse, and inclusive team

• Dedication to building a strong culture (e.g., employee resource groups, weekly employee recognitions, major life event celebrations, mental health/sustainability days off, etc.)

• Competitive Employee benefits (major medical, vision, dental, LTD and parental leave) and 401K matching program

OfferFit is committed to a diverse and inclusive workplace. OfferFit is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.