About Gladly:
Gladly the customercentered AIpowered customer support platform is built around people not tickets. Unlike traditional ticketbased customer support solutions our software helps brands deliver radically personal service at scale by integrating every channelvoice email SMS chat social messaging and selfserviceinto a single lifelong conversation stream. Companies like Allbirds Bombas Crate & Barrel and Warby Parker use Gladly to create exceptional customer experiences transforming everyday customer interactions into lasting connections.
Gladly is a fully distributed company that embraces remote work and believes in flexibility innovation and inclusivity. We foster a collaborative inclusive culture that prioritizes growth DEIB and meaningful connections. At Gladly people are at the heart of everything we do.
About the role & team
Gladlys AI & Research team uses data and insights to power novel AI products and drive databased decisions across the product team. Data scientists at Gladly partner closely with product managers engineers and designers to understand our users and innovate on our products using data.
We are looking for someone with the desire and curiosity to learn take initiative and make a lasting impact at a fastpaced SaaS company.
What youll do
- Collaborate with various Gladly teams and stakeholders to build a deep understanding of our business our customers and the problems they face
- Work closely with our product leadership to influence product roadmap and strategy driving collaborative discussions based on quantitative insights
- Design and perform analyses or experiments to deepen our understanding of customers uncover product improvement opportunities provide actionable recommendations and drive product decisions
- Develop novel algorithms to improve customer service automation and Hero efficiency working on problems from conception through design prototyping and shipping production features
- Provide guidance to other teams about the best practices for gaining insight into product behavior and experimentation to improve product effectiveness
- Provide mentorship to other data scientists through code and research reviews documentation technical guidance and pairing
Youll be successful by
- Being eager to learn Gladlys business domain and customer problems and applying this knowledge to building innovative products.
- Selforganizing and prioritizing your work based on the impact to the customer and business.
- Effectively balancing taskbased and exploratory work
- Being comfortable diving into the data and tracing through product code to understand data origins
- Showing ownership and pride in your work by promoting the best practices of building data products within Gladly educating other teams on their use and providing ongoing maintenance and support.
Were excited about you because you have
- 5 years of experience working with data to solve problems and make decisions especially as a data scientist or product analyst
- A strong track record of designing prototyping scaling and launching data science products to solve business problems
- Excellent SQL and python skills for data manipulation exploration and visualization especially in Jupyter notebooks
- A strong understanding of ML algorithms
- Excellent communication skills; you excel at turning data into compelling and actionable insights and have a proven track record for driving change in a product organization
- Customercentricity and product focus. You look at everything you create through the lens of how it improves experience for the enduser. You are comfortable communicating how various approaches might impact the product behavior (and vice versa).
- Learning mentality. You arent intimidated by new domains or technology; youre willing to dive into documentation/videos talk to your teammates and experiment to become wellversed.
- Experience working with crossfunctional teams including but not limited to Engineering Design and Product.
How youll ramp
- 30 days: Build familiarity with at least one product area and existing data available. Produced at least one new analysis using existing data.
- 60 days: Comfortable leading discussions with product stakeholders on quantitative analyses and improvement opportunities
- 90 days: Developed new methods to evaluate and/or algorithms to power AI products that are in production
Interview process
- 2 hour timed case study
- Basic SQL 45min)
- Programming screen 45 min)
- Discussion of a past data science project 60 min)
- Experimental design and data interpretation interview 60 min)
- Presentation and Q&A 30 min)
Compensation for this role: $134000 to $167000 per annum Equity Benefits
The cash compensation above includes base salary and is not reflective of potential commission for employees in eligible roles or annual bonus targets under Gladlys bonus plan for eligible roles. In addition to cash compensation all Gladlys employees are eligible to participate in Gladlys equity incentive plan to receive stock options per the terms of the agreement. Individual compensation packages are based on a few different factors unique to each candidate including their career level skills experience specific geographic location qualifications and other jobrelated reasons.
Why Join Gladly
At Gladly were not just building softwarewere transforming an industry. We take a peoplefirst approach both in our product and our culture. When you join us youll enjoy:
- Competitive salaries stock options and comprehensive benefits
- Generous paid time off parental leave and home office stipends
- A fully remote work environment with opportunities for inperson team gatherings
- A strong commitment to professional growth and an inclusive workplace where diverse perspectives thrive
At Gladly we believe in challenging the status quo celebrating grit and striving for excellence. We thrive as a team by embracing transparency collaboration and a customerfirst mindset. If this role excites you but you dont meet every qualification we still encourage you to apply. Diverse perspectives and experiences are the cornerstone of our success.
Required Experience:
Senior IC