
Head of Growth and Operations
Organisation Overview
Cyces Innovation Labs LLP is an AI-first technology company specializing in product engineering, software development, data engineering, and applied AI solutions. Having partnered with 150+ organizations globally, we help startups, enterprises, and government bodies build scalable digital products, automate workflows, and drive business growth through technology. Our team of engineers, designers, and innovators combines strong engineering principles with product thinking to deliver impactful solutions across industries.
Location: Chennai (Work from office)
Job Overview
We are seeking a strategic and results-oriented Head of Growth and Operations to lead and oversee our Website and SEO Managed Services division - Freshboost. This is a leadership role responsible for driving operational excellence, managing cross-functional teams, ensuring exceptional client delivery, and contributing to the overall growth and success of the business unit.
The Head of Growth and Operations will be accountable for the performance of Account Management, SEO, and Website Services teams, ensuring the successful delivery of client engagements while maintaining high standards of quality, efficiency, and customer satisfaction. The ideal candidate will possess strong leadership capabilities, commercial awareness, and a solid understanding of SEO, website development, digital marketing, Webflow, and WordPress.
Responsibilities
- Lead and manage the Website and SEO Managed Services division, ensuring alignment with organizational goals and business objectives.
- Provide leadership, guidance, and mentorship to Account Managers, SEO Specialists, Webflow Developers, WordPress Developers, and other team members.
- Own the end-to-end delivery of client services, ensuring projects and ongoing engagements are executed efficiently and successfully.
- Establish and monitor departmental goals, KPIs, and performance metrics to drive operational excellence and business growth.
- Ensure high levels of client satisfaction through proactive communication, effective stakeholder management, and quality service delivery.
- Act as the primary escalation point for delivery challenges, client concerns, and operational issues.
- Drive resource planning, workforce allocation, and capacity management across multiple teams and client accounts.
- Develop and implement scalable processes, workflows, and best practices to improve efficiency, productivity, and service quality.
- Collaborate with senior leadership to define delivery strategies, growth initiatives, and service improvement plans.
- Review team performance regularly and foster a culture of accountability, collaboration, and continuous improvement.
- Oversee the successful execution of SEO, website development, website maintenance, and digital marketing initiatives.
- Analyze business performance, client outcomes, and operational data to identify opportunities for improvement and expansion.
- Partner with sales and business development teams to support client acquisition, solution design, and service expansion opportunities.
- Identify risks to project delivery and implement mitigation strategies to ensure business continuity and client success.
- Drive employee engagement, talent development, succession planning, and team capability building within the division.
- Ensure adherence to company standards, service commitments, and delivery timelines across all client engagements.
- Stay informed about industry trends, emerging technologies, and market developments to continuously enhance service offerings.
Qualifications
- Bachelor's degree in Business Administration, Marketing, Digital Marketing, Information Technology, Communications, or a related field.
- Minimum 5 years of professional experience in digital services, managed services, digital marketing, website operations, or related fields.
- Minimum 2 years of proven experience in a leadership, managerial, or delivery management role.
- Demonstrated experience leading and managing high-performing cross-functional teams.
- Strong understanding of SEO, website development, digital marketing, client delivery, and account management practices.
- Working knowledge of Webflow, WordPress, website management processes, and SEO best practices.
- Proven ability to manage multiple teams, projects, and client engagements simultaneously.
- Experience establishing KPIs, managing performance, and driving operational improvements.
- Strong business acumen with the ability to balance client satisfaction, team performance, and organizational objectives.
- Excellent leadership, stakeholder management, communication, and interpersonal skills.
- Strong analytical and problem-solving capabilities with a data-driven approach to decision-making.
- Experience managing client relationships, service delivery operations, and business performance metrics.
- Ability to influence, motivate, and develop teams in a fast-paced environment.
- Experience in agency, managed services, SaaS, consulting, or technology-driven environments will be preferred.
- Familiarity with tools such as Google Analytics, Google Search Console, Ahrefs, SEMrush, project management platforms, and reporting tools will be an advantage.

About Cyces Innovation Labs LLP
About
Cyces is a tech firm with a strong focus on engineering, product thinking, and applied AI. Over 150 companies have worked with us to build and scale products, automate operations, and unlock growth with technology.
Alongside our full-suite product development services, we help businesses deploy custom AI solutions, including AI agents, workflow automations, voice AI, and advanced data applications. Whether it’s building a product from the ground up or integrating AI to drive efficiency, we approach every problem with the same craftsmanship and precision.
Our team includes experienced engineers, designers, and thinkers who take pride in their work and have a keen eye for detail. We’ve partnered with startups, enterprises, and governmental bodies across the globe, delivering outcomes that matter, no matter the project size or industry.
With Cyces, you have a reliable partner who takes ownership. Let’s create something exceptional together.
Tech stack
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● Prior experience in mentoring and coaching development teams.
● Strong leadership qualities with a passion for technology innovation.
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● Atlassian stack (JIRA/Confluence)
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● Writing reusable, testable, and efficient code
● Design and implementation of low-latency, high-availability, and performance efficient
applications.
● Integration of user-facing elements developed by front-end developers with server-side
logic.
● Implementation of security and data protection
● Integration of data storage solutions
**Backend Developer Requirements:**
● Expert in Python, with knowledge of Django Web Framework.
● Familiarity with some ORM (Object Relational Mapper) libraries.
● Working knowledge of MySQL.
● Fair understanding of building RESTful APIs.
● Bonus points for Celery, RabbitMQ.
● Worked with Django application deployment on AWS.
● Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3.
● Understanding of accessibility and security compliance.
● Knowledge of user authentication and authorization between multiple systems, servers,
and environments.
● Familiarity with event-driven programming in Python.
● Able to create database schemas that represent and support business processes.
● Strong unit test and debugging skills.
● Proficient understanding of Git.
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










