**Engineering Manager, Data Science and Intelligence**
Brightflow AI is making cash management and forecasting accessible to the
everyday business owner. Founded in Fall 2019, with the goal of democratizing
finance, our rapidly growing and well-funded startup is in need of exceptional
engineers to join us as we climb to the next level.
**About the Role**
As an engineering manager for Data Science and Intelligence group, you will
partner across the Product Engineering org and represent the team as the data
science and intelligence thought leader and set directions for the team to
deliver innovative machine learning solutions using our huge reservoir of 1st
party and 3rd party data. You will work with data analysts, ML engineers, data
engineers, product managers and fellow engineering managers to turn machine
learning models into business insights for our customers.
* Lead, influence and contribute across Data Science and Intelligence team to drive business value for Brightflow and our customers
* Collaborate closely with product and engineering stakeholders to drive strategic direction for Brightflow’s AI-enabled product and toolkits
* Work closely with Platform team to help shape and execute the brightflow's AI architecture
* Drive clarity for the team - break down larger ML initiatives into smaller problems that enables engineers to deliver incremental business value and lead the team to execute on them
* Work with financial advisers, product managers to deliver the bespoke data analytics solutions to VIP customers
* Incorporate up-to-date DS approach as best practices for the team
* Coach and mentor team members to be successful in their career growth
* Work and lead effectively in a dynamic, changing environment while focusing on key goals and objectives
**Why you’ll love working here**
First, working on interesting problems in a place for growth: Given the
volatility of the market, our tool is addressing the pain point of small
business owners. We are positioned to grow. The team is currently small and
expanding, you can be influential.
Secondly, be with a great culture and great people: trust and psychological
safety are high - you can expect to be challenged and given a place to do
great work. Our culture fosters transparent, appreciative feedback, respect,
and empathy.
The team is experienced and knowledgeable, strong finance experience
(including Capital One, VC firms) and engineering backgrounds at multiple
early-stage startups, and previous experience as founder and CEO of a YC
startup.
**What We’re Looking For**
* 7+ years of working experience in Data Science, ML with 2+ years in managing roles
* Strong knowledge of underlying mathematical foundations of statistics and machine learning
* Demonstrated excellence in a relevant AI/ML discipline (NLP, etc.), including experience with ML model building with libraries such as Scikit, Tensorflow and PyTorch, significant experience in applying LLM. Have knowledge of fundamentals of machine learning, such as algorithm families (regression, classification, unsupervised), AB testing, hypothesis testing, and optimization
* Good balance between engineering mindsets and science methodology to enable creative problem solving
* Experience in managing both bespoke data solutions and data products and know how to convert the learning in bespoke solution to product
* Result oriented and has strong bias for action, experienced in collaborating with cross-functional teams and product stakeholders
* Strong communication skills, demonstrated through documentation and presentations. Able to present findings to senior management to inform business decisions
* Experience in mentoring and growing a data science and intelligence team
### **Beneficial but not required:**
* Advanced degree in Data Science, Statistics, Applied Math, Computer Science, Engineering or other equivalent disciplines is a plus
* Prior success deploying machine learning solutions in large-scale production environments
* Familiar with AWS machine learning stack
* Experience with visualization tools (e.g., Tableau, Looker Studio, PowerBI, Hex)
* Knowledge about data engineering stacks - spark, airflow or Glue
Our salary ranges are calculated by role, level and the market rate for a
candidate’s geo-location. Your position within * _**that range will be
determined by your job-related knowledge, skills, experience, relevant
education, and training/certifications. In addition to those factors, we also
examine internal equity across the company, and title may be assessed one
level lower or higher accordingly. After you join the company your
performance, contributions, and results along with business and organizational
needs will affect your base salary._ _The base salary range for this full-time
position is between $163,000-$235,000 for a candidate located in the San
Francisco Bay-Area. *Candidates in other areas can expect local market-
adjusted salaries which may be lower._ **
**About Our Team**
We’ve learned from firsthand experience that the most effective teams are
composed of highly diverse individuals from all walks of life. It’s in those
pivotal moments in challenging situations that we’ve been consistently
surprised by the ingenuity and unexpected skills our teammates bring to the
table. At Brightflow AI, we all play a key role and encourage crossover into
all areas of the business that interest you. This is a set of values that lies
at our very core as individuals. If you share the same desire for a warm,
welcoming environment surrounded by awesome, talented people, we encourage you
to apply! We’re constantly learning and doing what we can to support and
assist each other in growing both personally and professionally.
We do not discriminate on the basis of race, color, religion, age, sex
(including pregnancy, childbirth, or related medical conditions), sexual
orientation, gender identity or expression, national origin/ethnicity,
citizenship status, veteran status, disability status, marital status, medical
condition, or any other legally protected status.
**About Brightflow AI**
Brightflow AI is honored to be featured on the inaugural 2022 SMBTech 50 List
recognizing "the growth and potential of startups that serve small and medium-
sized businesses," as announced by GGV Capital, Crunchbase, and Nasdaq.
Even companies that are growing revenue, surpassing sales goals, and expanding
rapidly may be at risk of their cash running out. That’s where we come in.
Brightflow AI gives companies the data they need to make timely and data-
driven decisions about cash flow, growth opportunities, inventory, and more.
We serve as their finance team to enable their continued growth and allow them
to remain focused on delighting their customers.
We’ve experienced firsthand the pain and difficulty in accessing good
financial data–it’s this need that drove the creation of Brightflow AI. To
date, we’ve raised capital, built the software, served our initial customer
base, and begun iterating on every step of the process, from forecasting to
financing. We’re proud to create solutions that help level the financial
playing field for businesses of all sizes and financial situations.
Our team members have backgrounds that include previous VC-backed startups (as
founders, managers, and first engineers), established tech companies, private-
equity and venture finance, banking, and running our own software companies.
We live and work in a mix of countries and speak numerous languages; yet, we
have a common interest in understanding our customers’ needs and delivering
solutions that solve real problems.
We provide a high degree of ownership and autonomy in an inclusive, supportive
culture. We encourage a growth mindset and foster transparent, appreciative
feedback, respect, and empathy. Read more about our values at
<https://bit.ly/brightflow-values>, then join us in our mission to simplify
our customers’ finances and help them succeed. **Apply now.**
Brightflow AI focuses on SaaS, Machine Learning, Finance Technology, and
Ecommerce. Their company has offices in San Francisco. They have a small team
that's between 11-50 employees. To date, Brightflow AI has raised $115M of
funding; their latest round was closed on September 2022.
You can view their website at <https://brightflow.ai> or find them on
[Twitter](https://twitter.com/brightflow_ai) and
[LinkedIn](https://www.linkedin.com/company/brightflow-ai).
