Technical Lead

1-3 years of experience in SaaS sales, lead qualification, or a similar role.

• Candidates should have Lead Qualification Experience (experience in SaaS solutions, tailored solutions, or solution selling).

• Engage with prospects via calls, emails, and LinkedIn to understand their needs and pain points.

• Experience using CRMs like HubSpot, Salesforce, or other sales tools.

• Excellent verbal and written communication skills.

• Strong ability to assess and qualify leads efficiently.

• Maintain accurate and up-to-date lead records in the CRM (e.g., HubSpot, Salesforce).

Sr. User Experience (UX) Designer

Preferred Experience & Expertise: • 

Bachelor’s degree in the fields of Computer Science, Information Technology, Mathematics, Statistics, or any UX related subjectssuch as digital design/media, digital marketing, graphic design, media technology, and web design. 

Relevant experience of at least 2 years in lieu of above if from a different stream of education.  

Well-versed in and 2+ years of hands-on demonstrable experience with UX Research and UX Design 

Hands-on development experience in tools like Adobe XD, Photoshop, Illustrator, or any relevant tools. 

2+ years of hands-on development experience in one or more libraries, frameworks, & technologies such as React JS, HTML5, CSS3, D3, Ant Design, Vis.js, Chart.js, etc.; extra points if you can demonstrate your knowledge with working examples. 

2+ years of hands-on development experience in JavaScript & TypeScript. 

Familiarity with the domains of Data Management & Governance Business Process & Workflow Management ▪ Cloud Computing Infrastructure & Platforms (AWS/Google Cloud/Azure) 

Ability to understand software product vision, objectives, capabilities, and features; and translate into digital experiences 

Artistic eye for design with ability to think creatively 

Accuracy, attention to detail and mastery of information, navigation, and visual design  Mathematical & statistical aptitude and strong problem-solving skills to determine experiential solutions to UX/UI challenges in the domains of visual data modeling, visual workflow modeling, data browsing, data editing, statistics driven charting, graphs, etc. 

An understanding of the latest trends in UX and self-development skills to keep up to date with such fast[1]changing trends 

Excellent interpersonal and communication skills to communicate ideas to developers.

Multi-tasking and time management skills, with the ability to prioritize tasks .

Ability to work both independently and in a team.

Professional approach to time, costs, and deadlines

Job Location : Pune/Remote

Work Timings : 2.30 pm-11:30 pm

Joining Period : Immediate-20 days

Why This Role Matters

We’re looking for a Principal Engineer to lead the architecture and execution of our GenAI-powered, self-serve marketing platforms. You will work directly with the CEO to shape, build, and scale products that change how marketers interact with data and AI. This is intrapreneurship in action — not a sandbox innovation lab, but a real-world product with traction, velocity, and high stakes.

What You'll Do

• Co-own product architecture and direction alongside the CEO.
• Build GenAI-native, full-stack platforms from MVP to scale — powered by LLMs, agents, and predictive AI.
• Own the full stack: React (frontend), Node.js/Python (backend), GCP (infra), BigQuery (data), and vector databases (AI).
• Lead a lean, high-caliber team with a hands-on, unblock-and-coach mindset.
• Drive rapid iteration with rigor, balancing short-term delivery with long-term resilience.
• Ensure scalability, observability, and fault tolerance in multi-tenant, cloud-native environments.
• Bridge business and tech — aligning execution with evolving user and market insights.

What You Bring

• 8–12 years of experience building and scaling full-stack, data-heavy or AI-driven products.
• Fluency in React, Node.js, and Google Cloud (Functions, BigQuery, Cloud SQL, Airflow, etc.).
• Hands-on experience with GenAI tools (LangChain, OpenAI APIs, LlamaIndex) is a bonus.
• Track record of shipping products from ambiguity to impact.
• Strong product mindset — your goal is user value, not just elegant code.
• Architectural leadership with ownership of engineering rigor and scaling best practices.
• Startup or founder DNA — you’ve built things from scratch and know how to move fast without breaking things.

Who You Are

• A former founder, senior IC, or tech lead who’s done zero-to-one and 1-to-n scaling.
• Hungry for ownership and velocity — frustrated by bureaucracy or stagnation.
• You code because you care about solving real problems for real users.
• You’re pragmatic, hands-on, and grounded in first principles.
• You understand that great software isn't just shipped — it's hardened, maintained, and evolves with minimal manual effort.
• You’re open to evolving into a founding engineer role with influence over the tech vision and culture.

What You Get

• Equity in a high-growth product-led startup.
• A chance to build global products out of India with full-stack and GenAI innovation.
• Access to high-context decision-making and direct collaboration with the CEO.
• A tight, ego-free team and a culture that values clarity, ownership, learning, and candor.

Why YOptima?

YOptima is redefining how leading marketers unlock growth through full-funnel, AI-powered media solutions. As part of our growth journey, this is your opportunity to own the growth charter for leading brands and agencies globally and shape the narrative of a next-generation marketing platform.

Ready to lead, build, and scale?

We’d love to hear from you.

Manage inbound and outbound customer calls in a timely manner.

Ability to understand the customers needs and articulate a solution

Research every issue and provide solutions to them

Ability to explain features and benefits without using scripts

Build strong relationships with customers

Meet qualitative and quantitative targets

Work in brick and mortar call center

Requirement-

Previous experience in a call center customer support, sales and or retention

Previous experience with US market

Strong phone and verbal communication skills

Excellent listener and time management skills

Accent Neutral

Additional Advantage

Understanding of USA Credit Bureau, Credit Report and Credit Score culture

Customer Success Associate

Industry Type-BPO / Call Centre

Functional Area-Customer Success, Service & Operations

Employment Type-Full Time, Permanent

The ideal candidate should have a strong foundation in computer science and a passion for building high-quality solutions. The role requires hands-on experience in designing, developing, and implementing scalable and high-performance mobile applications (company is looking for an employee to build a chat application from scratch)

Responsibilities:

1. Design, develop, and maintain a mobile application

2. Write clean, scalable, and maintainable code that

adheres to best practices and industry standards

3. Test applications to ensure they meet customer requirements and are free from defects

4. Implement security and data protection measures in applications

5. Troubleshoot and debug software applications

Requirements:

1. Bachelor's degree in Computer Science or a related field

2. Experience in developing applications using Java, and Javascript.

3. Strong understanding of the software development life cycle (SDLC) and Agile methodologies

4. Experience with front-end technologies such as HTML, CSS, and JavaScript

5. Experience with database design and management, particularly with MongoDB

6. Excellent debugging and troubleshooting skills

7. Strong communication and teamwork skills

Roles and Responsibilities 

1) Understand client requirements and functionalities. 

2) Write well-designed, testable, efficient code. 

3) Responsible for solving complex technical issues. 

4) Ensure quality projects are delivered within defined timelines. 

5) Active involvement in client communication to understand functional requirements. 

6) Maintain high standards of quality for code, documentation and other deliverables. 

Required Skills 

1) Good experience in Angular/React

2) Hand on Node.JS./Express JS 

3) Database : MongoDB 

4) Experience in Java Script, Typescript. 

5) Experience working in an Agile environment. 

6) Good communication skills.

Job Description - Sr Azure Data Engineer

Roles & Responsibilities:

1. Hands-on programming in C# / .Net,
2. Develop serverless applications using Azure Function Apps.
3. Writing complex SQL Queries, Stored procedures, and Views. 
4. Creating Data processing pipeline(s).
5. Develop / Manage large-scale Data Warehousing and Data processing solutions.
6. Provide clean, usable data and recommend data efficiency, quality, and data integrity.

Skills

1. Should have working experience on C# /.Net.
2. Proficient with writing SQL queries, Stored Procedures, and Views
3. Should have worked on Azure Cloud Stack.
4. Should have working experience ofin developing serverless code.
5. Must have MANDATORILY worked on Azure Data Factory.

Experience 

1. 4+ years of relevant experience

Community Management-

• Create a friendly environment to facilitate high member satisfaction
• Be thoughtful while interacting with members.
• Plan and launch community initiatives to create connections between members of different organizations. This might include targeted member introductions, recommending possible mentor matches, running networking events and managing communications within the space and through digital vehicles.
• Seek out information about the business and personal objectives of tenant organizations and their individual members.
• Foster a sense of inclusivity where fresh ideas are welcome
• Be knowledgeable about COWERKZ's membership contracts and guidelines.Explain these policies to members, as necessary.
• Oversee new member onboarding and member moves out of the space

Events Planning and Execution-

• Build a quarterly calendar of coworking events that engages all stakeholders:
• Current members: Educational (e.g., lunch and learns) and appreciation events (e.g., happy hours and themed parties)
• Future members: Lead generation and sales-related events
• Local community: Identify outside organizers and encourage them to use our event space. Depending on the exact nature, these events should also be used to build COWERKZ's CRM and digital community. 
• Manage to the allotted budget
• Present our community professionally
• With your team, oversee the event itself, from catering to a smooth event check-in process to cleanup

Business Development-

• With the owners, be responsible for setting and achieving sales objectives, occupancy rates and pricing
• Conduct tours for prospective members
• Contact the local press and community leaders to generate interest in COWERKZ.
• Maintain a positive relationship with key vendors and our landlord

Facilities and Space Management-

• Manage all centre operations to the satisfaction of members
• Maximize up-time and availability of key facilities assets like the Wifi network, kitchen, printers/copiers
• Keep members aware of facilities issues that may impact them
• Utilize a variety of coworking software applications manage the space and membership
• Make recommendations to the owners about new features or perks that will entice members
• Submit maintenance tickets for repairs to the facility and key equipment
• Ensure cleaning is conducted to spec

Data accuracy-

• Ensuring member data is updated and is current in the cowork platform
• Ensuring lead data is updated in the CRM platform
• Ensuring Community Data is being updated in the events database

Experience and Requirements

• 2 years experience with increasing responsibility in either a sales or customer service role
• Experience in co -curricular activities a plus.
• Demonstrated project management skills
• Technically capable. Able to understand and work with the variety of hardware and software applications that our space depends on.
• Experience with written content generation in a business environment and basic graphic design skills are a plus
• Interest in working independently with only occasional interactions with the owners
• Fluent in English. Ability to speak additional language is a plus.
• A high level ethics, empathy and dependability

Qualifications

• Bachelor's degree or equivalent

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning