What are the responsibilities and job description for the Senior AI Solutions Architect (Reinforcement Learning) position at OfferFit?

Job Description

OfferFit was founded by ex-McKinsey and BCG math PhDs, and we're funded by leading Silicon Valley VCs. OfferFit's AI decisioning engine supports 1 : 1 personalization for lifecycle marketing campaigns, powered by reinforcement learning AI. This allows marketers to test & improve the performance of their campaigns much faster than before. Customers include leading brands like Brinks Home, Yelp, Chime, Engie, and MetLife, among many others.

Note for Applicants :

Data shows that men on average apply for a role if they meet 6 / 10 requirements while women often only do so if it's 10 / 10. We work hard to be clear and specific about what our roles require, and we encourage you to apply even if you don't check all the boxes! Applying gives you the opportunity to be considered and we look forward to reviewing your application!

Position Overview :

The Senior AI Solutions Architect is a critical individual contributor role working closely with our Sales team. You will work with our enterprise customers (pre-sales) to educate them on our product, set up and run proofs-of-concept, and lead discussions of a highly technical nature (e.g., deep dives into product functionality) fielded by technical stakeholders. You will also be able to develop consultative relationships with technical and non-technical stakeholders by leading with curiosity and inspiring people with a vision of how reinforcement learning can transform their approach to customer lifecycle marketing.

In particular, you will :

Represent OfferFit's product and capabilities to our top prospects
Lead technical discussions on our cutting-edge data science and answering technical questions
Execute demos and proof of concepts, including facilitating integration, delivering results & insights
Serve as a primary instructor for our AI Academy programs, a 1-day interactive workshop to teach artificial intelligence concepts through guided exercises and discussion
Serve as a thought leader, evangelizing the benefits of AI testing & reinforcement learning
Maintain deep understanding of competitive and complementary technologies and vendors and how to position OfferFit in relation to them
Collaborate cross-functionally (e.g., product, engineering) to continuously improve OfferFit's products and externally facing materials
Support other team members across functions to develop their expertise and to inform future OfferFit product development

Who's a fit :

People person : You are experienced working directly with enterprise customers and develop strong, consultative relationships. You lead with curiosity and have deep empathy for customers.

An engaging presenter : You are an enthusiastic and engaging presenter, with the ability to communicate effectively with a wide range of stakeholders

An expert in machine learning : You have a solid grasp of machine learning, including a familiarity with reinforcement learning

Mar-tech savvy : You understand the marketing technology ecosystem and can develop a perspective on the most effective ways to structure a customer's solution

A strong collaborator : You can persuade and influence others

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

A problem solver : you are able to break a complex problem into components and collaborate with the right people to efficiently get to a solution

Why is it great :

Drive the next phase of growth for an amazing early stage AI company

Partner with leading global brands on cutting edge customer personalization and AI transformation initiatives

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.

Additional Requirements :

Applicants must be willing to support Eastern Time Zone (ET) working hours

Up to 10-20% travel for company-wide quarterly gatherings, team offsite workshops, customer meetings, and industry-related events

Must be fluent in English, both written and verbal

The base salary range for this position in the United States is $184,000-$209,000 per year, plus eligibility for additional bonus ranging $84,000-$96,000; Eligibility for an additional 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 (starting at 25 days PTO per year) and Parental Leave policy (12 weeks paid)

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., team resource groups, weekly recognitions, major life event celebrations, mental health / sustainability days off, etc.)

US Only] 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.

Salary : $84,000 - $96,000

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Senior AI Solutions Architect (Reinforcement Learning)

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