Assistant Manager Finance - General Ledger - CA USGAAP

Role & Responsibilities

Contributes to the technical vision for an engineering team, aligning with company-wide strategies and goals.

Contributes to the design and development of robust, scalable, and user-friendly web applications.

Create innovative solutions using the latest technologies and tools for front end development and backend development.

Collaborate with product managers, designers, and engineers to define product direction and to deliver complex applications.

Conduct thorough code reviews and provide constructive feedback to ensure high-quality code.

Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.

Troubleshoot and debug complex issues in production environments, working closely with customer support and operations teams to ensure timely resolution and minimal disruption to business operations

We are looking for a skilled Blockchain Developer to work on developing decentralized applications and smart contracts.

If you're passionate about blockchain technology and want to work on cutting-edge projects, this is the role for you!.

Key Responsibilities:.

Design and develop smart contracts and decentralized applications (dApps).

Work with Ethereum, Solana, or other blockchain platforms.

Write secure, optimized, and efficient code for blockchain-based applications.

Experience in MLM & Matrix Plan logic.

Collaborate with cross-functional teams to implement blockchain solutions.

Required Qualifications:.

Experience in blockchain development.

Proficiency in Solidity, smart contracts, and blockchain platforms like Ethereum or Hyperledger.

Familiarity with cryptographic principles and consensus algorithms.

About the Role 

We’re looking for a Senior Content Marketer to own and execute a strategic, high-impact content function that drives brand awareness, lead generation, and sales enablement.

This role blends storytelling and strategy and is ideal for someone who can craft narratives that turn complex ideas into impactful content.

You’ll lead content across channels, collaborate with cross-functional teams (Product, Sales, Design), and build a content engine that helps our audience discover, understand, and trust Knowmax.

Key Responsibilities 

Content Strategy & Planning � 

· Create and execute a comprehensive content strategy aligned with overall marketing, sales, and brand objectives.

· Create and manage a unified content calendar spanning blogs, newsletters, webinars, LinkedIn, product collateral, release notes, and partner channels.

· Collaborate with cross-functional teams to ensure content reflects key initiatives and customer priorities.

· Ensure all messaging reinforces a strong, customer-first brand narrative and highlights clear market differentiation.

· Regularly measure content performance and use insights to refine strategy.

· Assist Customer Success and Sales teams with email campaigns, product-led content, and event marketing initiatives.

Content Creation & Distribution � 

· Write and edit high-quality long-form content, including blogs, whitepapers, eBooks, and case studies.

· Develop sales enablement materials such as one-pagers, pitch decks, product sheets, and playbooks.

· Partner with the Design team to produce engaging visuals, infographics, and videos that enhance content storytelling.

· Repurpose existing content across formats and channels to extend reach and engagement.

· Manage the brand’s presence across social platforms — especially LinkedIn — to drive thought leadership and engagement.

 What We’re Looking For � 

· Proven experience creating standout content that drives measurable impact.

· Exceptional storytelling skills to make complex or routine topics compelling, human, and easy to understand.

· Strong written and verbal communication skills with an eye for clarity, tone, and consistency.

· Curious and adaptable mindset, open to exploring new formats, tools, and ways to tell better stories (including AI-driven productivity or design tools).

· High level of ownership, discipline, and a bias for execution.

 Preferred Background 

· 3–5 years of experience in B2B SaaS content marketing.

· Experience with SEO, analytics, and brand storytelling.

· Proficiency in tools like GA4, Ahrefs, Figma, Canva, Storylane and content analytics platforms is an advantage.

We're seeking passionate, next-gen minded engineers who are excited about solving complex technical challenges and building innovative, first-of-its-kind products which make a tangible difference for our customers. As a Backend SDE-1, you will play a key role in driving strategic initiatives, collaborating with cross-functional teams across business, product, and operations to solve exciting problems. This role demands strong technical acumen, leadership capabilities, and a mindset focused on innovation and operational excellence.

We value individuals who think independently, challenge the status quo, and bring creativity and curiosity to the table—not those who simply follow instructions. If you're passionate about solving problems and making an impact, we'd love to hear from you.

Key Responsibilities

• Strategic Planning: Work closely with senior leadership to develop and implement engineering strategies that support business objectives. Understand broader organization goals and constantly prioritise your own work.
• Technical Excellence: Understand the onground problems, explore and design various possible solutions to conclude and implement scalable, extensible and secure software systems. Implement and learn best practices in technical architecture, coding standards, and software testing to ensure product delivery with highest speed AND quality.
• Project and Program Management: Setting up aggressive as well as realistic timelines with all the stakeholders, ensure the successful delivery of engineering projects as per the defined timelines with best quality standards ensuring budget constraints are met. Use agile methodologies to manage the development process and resolve bottlenecks.
• Cross-functional collaboration: Collaborate with Product Managers, Design, Business, and Operations teams to define project requirements and deliverables. Ensure the smooth integration of engineering efforts across the organization.
• Risk Management: Anticipate and mitigate technical risks and roadblocks. Proactively identify areas of technical debt and drive initiatives to reduce it.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 1+ years of experience in software engineering
• Excellent problem-solving skills, with the ability to diagnose and resolve complex technical challenges.
• Strong understanding of software design principles and patterns.
• Hands on with multiple programming languages and modern development frameworks.
• Understanding of relational and non-relational databases.
• Experience with Redis, ElasticSearch.
• Strong communication and interpersonal skills, with the ability to influence and inspire teams and stakeholders at all levels.

Skills:- MySQL, Python, Django, AWS, NoSQL, Kafka, Redis, ElasticSearch

We are looking for a Data Analyst that oversees organisational data analytics. This will require you to design and help implement the data analytics platform that will keep the organisation running. The team will be the go-to for all data needs for the app and we are looking for a self-starter who is hands on and yet able to abstract problems and anticipate data requirements.
This person should be very strong technical data analyst who can design and implement data systems on his own. Along with him, he also needs to be proficient in business reporting and should have keen interest in provided data needed for business.

Tools familiarity:  SQL, Python, Mix panel, Metabase, Google Analytics,  Clever Tap, App Analytics

Responsibilities

• Processes and frameworks for metrics, analytics, experimentation and user insights, lead the data analytics team
• Metrics alignment across teams to make them actionable and promote accountability
• Data based frameworks for assessing and strengthening Product Market Fit
• Identify viable growth strategies through data and experimentation
• Experimentation for product optimisation and understanding user behaviour
• Structured approach towards deriving user insights, answer questions using data
• This person needs to closely work with Technical and Business teams to get this implemented.

Skills

• 4 to 6 years at a relevant role in data analytics in a Product Oriented company
• Highly organised, technically sound & good at communication
• Ability to handle & build for cross functional data requirements / interactions with teams
• Great with Python, SQL
• Can build, mentor a team
• Knowledge of key business metrics like cohort, engagement cohort, LTV, ROAS, ROE

Eligibility

BTech or MTech in Computer Science/Engineering from a Tier1, Tier2 colleges

Good knowledge on Data Analytics, Data Visualization tools. A formal certification would be added advantage.

We are more interested in what you CAN DO than your location, education, or experience levels.

Send us your code samples / GitHub profile / published articles if applicable.

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