
Sr. Visual Communication Designer
at Our client company is into Healthcare. (AH1)
- Craft is a given, and so is the willingness to execute production work
- You feel comfortable managing on-brand materials in ways that still push creative boundaries
- You’re willing to make things happen within tight constraints and tight timelines
- You can design original pieces, including infographics and journey maps
- You are comfortable reviewing junior designers’ work to ensure high quality and mentorship
- You inspire the team by being up-to-date with what’s new in the field of design, health, or impact
- You can effectively communicate with disciplines across the organization and are comfortable aligning your talents with theirs to build products and solutions together
- You have a genuine empathic curiosity in how to communicate with diverse audiences, particularly those with low literacy and living in rural settings
- You’re passionate about contributing to the intersection of social impact, visual communication, and human-centered design and always ask: who am I designing for?
MUST-HAVES
- Fluent in one Indian language (two languages is a significant plus)
- 3+ years of work experience in a similar role
- Bachelor’s degree in visual communication or a related field or equivalent
- Hands-on experience in InDesign, Photoshop, Illustrator, and After Effects (video editing skills are a significant plus)
- Highly motivated, proactive, and experience working with minimal supervision
- Experience working in creative, human-centered culture and cross-cultural design
- Attention to visual details
- Ability to meet deadlines and collaborate with a team
- Excited to use your artistic talents in a social impact context

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Role Overview:
We are seeking a Tech Lead (5–14 yrs experience) to design, build, and scale the technology
foundation for our Support Excellence function. This role sits at the intersection of engineering,
product, and operations ensuring that our internal teams and, eventually, our end users
experience seamless, efficient, and data-driven support.
You will lead a small but high-impact team of engineers, own the support tooling roadmap, and
implement solutions that handle ticket triage, data quality issues, automation, and integrations
with our healthcare SaaS platform.
This is a hands-on technical leadership role ideal for someone who thrives on solving
operational challenges through technology, building frameworks from scratch, and enabling
customer-facing and internal support teams to scale effectively.
Key Responsibilities
1. Build & Enhance Support Platform:
● Own the engineering roadmap for support tooling — ticketing systems, triage workflows,
knowledge bases, and automation bots.
● Design and implement scalable support frameworks, ensuring fast triage, data-driven
escalation, and high-quality resolution.
● Integrate support tooling with product backend, CMS, and analytics systems to enable
context-aware assistance.
2. Technical Leadership & Delivery:
● Lead a small team of engineers (SEs and SSEs), providing guidance on design, architecture,
and coding standards.
● Stay hands-on with coding and reviews while enabling the team to deliver high-quality,
maintainable solutions.
● Partner closely with Program Managers and Business Analysts to translate requirements
into technical execution.
3. Automation, Data & AI-Driven Support:
● Implement automation workflows (bots, routing, notifications) to reduce manual load and
optimize SLA adherence.
● Drive the adoption of AI/ML solutions for ticket classification, triage, and predictive
resolution.
● Build analytics dashboards to track support KPIs (FRT, TTR, resolution quality).
● Partner with Product Managers, Designers, and Engineers to ensure delivery fidelity.
● Restore transparency and speed between business stakeholders and tech teams.
4. Cross-functional Collaboration:
● Work with Product, QA, Customer Success, and Ops to ensure support needs are captured
early in the roadmap.
● Serve as the engineering voice in discussions on escalation flows, release readiness, and
customer-facing support enablement.
● Collaborate with content and ops teams to power self-service experiences (knowledge
bases, FAQs, in-app help).
5. Documentation & Knowledge Management:
● Maintain technical documentation for support tooling, workflows, and integrations.
● Contribute to knowledge bases (internal + external) alongside ops and content teams.
● Foster a documentation-first culture to enable faster onboarding and smoother
collaboration.
What We’re Looking For
Must-Have
● 5–7 years of experience in software engineering, with at least 2+ years in a senior/lead
role.
● Proven track record in building internal platforms, support tools, or automation systems.
● Strong technical skills: Python/Node/Java, SQL, cloud services (AWS/GCP), and integration
experience with ticketing/support platforms (e.g., Zendesk, Freshdesk, ServiceNow, Jira
Service Management).
● Experience leading small teams and owning delivery from design → build → release.
● Excellent problem-solving skills with a bias for execution in fast-paced environments.
Nice to Have
● Exposure to SaaS or healthcare platforms with multi-tenant architecture.
● Familiarity with AI/ML-driven support solutions (classification, prediction, NLP chatbots).
● Hands-on experience with support metrics and dashboards (CSAT, SLA adherence, TTR).
● Knowledge of documentation frameworks (Confluence, Notion, Git-based wikis).
RESPONSIBILITIES:
Requirement understanding and elicitation, analyze, data/workflows, contribute to product
project and Proof of concept (POC)
Contribute to prepare design documents and effort estimations.
Develop AI/ML Models using best in-class ML models.
Building, testing, and deploying AI/ML solutions.
Work with Business Analysts and Product Managers to assist with defining functional user
stories.
Ensure deliverables across teams are of high quality and clearly documented.
Recommend best ML practices/Industry standards for any ML use case.
Proactively take up R and D and recommend solution options for any ML use case.
REQUIREMENTS:
Required Skills
Overall experience of 4 to 7 Years working on AI/ML framework development
Good programming knowledge in Python is must.
Good Knowledge of R and SAS is desired.
Good hands on and working knowledge SQL, Data Model, CRISP-DM.
Proficiency with Uni/multivariate statistics, algorithm design, and predictive AI/ML modelling.
Strong knowledge of machine learning algorithms, linear regression, logistic regression, KNN,
Random Forest, Support Vector Machines and Natural Language Processing.
Experience with NLP and deep neural networks using synthetic and artificial data.
Involved in different phases of SDLC and have good working exposure on different SLDC’s like
Agile Methodologies.

- 4 to 7 years of experience in requirements management, use cases and business flows
- Must have worked on projects using Agile Methodology
- Excellent client interaction skills
- Must be able to work effectively with business users/stakeholders 6. Ability to multitask and work with minimal supervision
- Certified Business Analysis Professional (CBAP) Certification is a plus
- Excellent written and oral communication skills
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