You will build the foundation for
us to emerge as one India’s leading cognitive computing
companies. Whether it is thinking about scaling our architecture,
getting your hands dirty with data-crunching or basic code, or
finding novel insights for us to apply in creating self-managing
communities through smart technology, your KPI will be the
reduction in the ratio of human power needed to serve the
citizens and businesses in our network. You will be responsible
for our infrastructure, data, and algorithm layers. It’s a huge
responsibility for the right visionary who has the experience to
backup their ideas with rapid delivery.
- Architecture on the Cloud - You have deployed the
latest plug-and-play infrastructure products to help rapidly
growing startups scale. Evaluating the applicability and
appropriateness of these solutions is second nature to you.
Navigating the latest and greatest of AWS is child’s play. You
have a track record of building stable and scalable back-end
- Security - Cloud and open-source are great but
you understand the security and privacy concerns that accompany
this wave and have deployed successful solutions to address
these. We’re not just talking about just databases.
- Data, Data, Data!!! - You live, breathe, and are
obsessed with how to capture, store, and utilize data. Your
first response to requests for something new are to sketch out
diagrams of how the request would integrate with current
architecture or what additional layers it would require. You’ve
taken ownership of entire data flows in past organizations and
are adept at translating ideas into prototypes overnight.
- Optimization - A large part of what we do
involves improving efficiency under various constraints.You need
to be adept at algorithms and foster a deep interest in creating
the foundation for cognitive computing and machine learning to
- Team Builder - It’s not just about your
individual talents - you’ve developed a team around creating
intuitive and addictive user experiences and can channel the
potential from young talent toward on-time and amazing products
- Still a coder - Ready to get your hands dirty
with code and taking responsibility for all aspects of launching
- Up for the Challenge - Working on a platform with
multiple products is exciting to you and you can handle the
multiple deadlines and integration challenges that accompany
this style of working.
- Startup Growth - You’ve taken products,
companies, and teams at mobile and ideally logistics-related
startups from Level 3 to Level 10 before and are wise about how
to handle growth, when to ditch old code, and prioritize what
needs to get done today and what can wait a few more months.
- Respect for Experience - You’re not just an
engineer who loves to work on the latest and greatest
technology. What drives you is the kind of experience your code,
architecture, and stack create, the feelings your users
experience. You don’t necessarily need to design UI yourself but
you should have respect and humility for user capacity and treat
is as the key constraint to what we deploy.
- Tech stack agnostic - What tools we’re using only
matters to you at a level of optimization, efficiency, and
future capability. Other than this, you should feel comfortable
switching between languages and frameworks with a broad exposure
to multiple toolsets. Use of Clojure and other functional
programming languages is a bonus.
Nice to have:
- Geospatial Data - Experience with geospatial data
and interfaces, especially leveraging open source resources.
- Supply Chain/Logistics - Track record of building
products in the logistics, hyper-local delivery, or supply chain
management space with a broad range of users and multiple
integrations with external tools, including payment gateways and
social media sign-in’s.
- Data Visualization - Data visualization expertise
and background of simplifying analytics.
- Telephony - Integration experience with telephony
providers (SMS, IVR, etc.).
- Hardware/Sensors - Hardware integration with
sensors, mobile add-ons, and other technologies in the Smart
- Waste Management - Passion for the waste
management space and an intuitive understanding of on-ground
realities that constrain technology options.
Status: Full-time or Part-time
Location: Bangalore or Remote
Join our research team to improve
and implement the latest and greatest algorithms for real-time
applications. You will design and implement, evaluate and improve
high-performance, serial and parallel algorithms for
optimization, simulation, statistics and data mining. You should
have deep expertise in algorithm development, and the discipline
to meet product release schedules.
- Reading, understanding and improving upon, and
- Learning quickly, especially in new areas, building on a
solid foundation of discrete mathematics, linear algebra,
calculus, probability and statistics.
- Implementing at least a few of the algorithms mentioned
below, and more experience with these algorithms is a definite
- Simplex method for linear programming, a barrier or
interior point method, a gradient-based nonlinear optimization
method, a derivative-free method, or an evolutionary, genetic
algorithm, tabu or scatter search based method.
- Traveling salesman problems and other route
optimization modules under multivariate constraints.
Familiarity with Lagrangian multivariate optimization problems
- Branch and Bound methods, cutting plane (or Branch and
Cut) methods, logic-based methods, or constraint programming
methods for discrete search and optimization.
- Monte Carlo methods, especially as used in simulation,
including random number generation, stratified sampling,
generation of correlated samples, distribution fitting, and
MCMC methods; simulation optimization, stochastic linear
programming, or robust optimization methods.
- Multivariate statistical and machine learning methods,
such as linear and logistic regression, discriminant analysis,
principal components, k-nearest neighbors, classification and
regression trees, neural networks.
Status: Full-time or Part-time
Location: Bangalore or Remote
Help us quantify the full impact
of choices we enable through our platform. So what if a single
households decides to segregate at source? How does this change a
community’s environmental impact? What is the granular benefit of
diverting 5 tons of organic waste from landfills to a composting
plant? What about segregating 5 tons of mixed waste into 3 tons
of wet waste and 2 tons of dry waste?
- These are some of the many questions you will help us
answer. Once you’ve answered them, you will develop the
algorithmic layer for all our impact calculations and ensure
they are deployed sensibly across our back-end.
- You must have a strong grounding in math, statistics,
number theory, and probability. Dexterity with synthesizing
massive models and borrowing from myriad research libraries is
essential. An interest in and/or passion for waste management,
environmental impact, and behavioral change is a huge benefit.
So is a knack for creating easily interpreted data
visualisations that help you communicate the story behind the
This is a cross-functional role
for an analytical+efficiency-minded person who understands the
importance of key metrics in driving enterprise-wise choices and
decisions. You will build processes and systems for operations to
run effectively across stakeholders, platforms, and technologies.
If you know what a Six Sigma Black Belt does, or better yet, you
have this already, you’re just the person we seek!
- Work with commercial business units, collectors,
processors (biogas plants, composting facilities, DWCCs, etc.)
and aggregation points to develop and drive efficient and
- Develop the analytics and reporting relevant for rating,
auditing, and ensuring efficiency and engagement across the
business, including building dashboards and KPIs that engage and
help our employees stay focused and perform better
- Define, develop, analyze, and communicate key metrics
and business trends to customers and operation teams and enable
- Execute quantitative and qualitative analyses that
translates data into actionable insights and engagement into
- Figure out onboarding and engagement processes for
residential communities, businesses, collectors, and processors
Nice to have:
- Strong background in statistical modelling and
experience with statistical tools like R, SASS or SPSS
- Ability to exploit Excel to handle spreadsheets and
glean as much as possible
- Prior consulting, process management, or operational
experience in a rapidly growing startup, especially in the
logistics/supply chain management space