Graphic Designer

Strong customer success manager , key account manager profiles

Mandatory (Experience 1): Must have 6+ years of hands-on experience in Account Management managing existing enterprise/Mid-Market clients

Mandatory (Experience 2): Must have proven experience in Revenue Ownership including renewals, retention, upsell, cross-sell, and expansion within assigned accounts

Mandatory (Experience 3): Must have experience managing CXO / Senior Stakeholder relationships, running QBRs, governance meetings, and strategic conversations

Mandatory (Experience 4): Must have experience handling enterprise commercials, contract renewals, pricing discussions, and negotiation ownership

Mandatory (Experience 5): Must have experience working on CRM platforms like Salesforce / HubSpot / Zoho for account planning, forecasting, and stakeholder mapping

Mandatory Experience (6): Prior experience working in the Rewards, Loyalty, or Incentives space.

Mandatory (Company): B2B SaaS Product companies

Conga CPQ Business Analyst

Exp- 7 to 9 years

Work Mode – Remote

Employment type – Contract

Job description:

3 to 5 years of experience to support and enhance Conga CPQ and ERP systems.

Should have Conga CPQ/CLM functional expertise.

Serve as SME for Conga CPQ & ERP systems.

Perform system testing, validation and coordinate with business UAT testing.

Expert-level knowledge in product modelling, pricing configurations, and quote management.

Collaborate with teams to gather, analyze and document business requirements.

Should be good at creating stories, acceptance criteria and agile processes.

🚀 We’re Hiring: Senior AI Engineer (Customer Facing) | Remote

Are you passionate about building and deploying enterprise-grade AI solutions?

Do you enjoy combining deep technical expertise with customer-facing problem-solving?

We’re looking for a Senior AI Engineer to design, deliver, and integrate cutting-edge AI/LLM applications for global enterprise clients.

What You’ll Do:

🔹 Partner directly with enterprise customers to understand business requirements & deliver AI solutions

🔹 Architect and integrate intelligent agent systems (LangChain, LangGraph, CrewAI)

🔹 Build LLM pipelines with RAG and client-specific knowledge

🔹 Collaborate with internal teams to ensure seamless integration

🔹 Champion engineering best practices with production-grade Python code

What We’re Looking For:

✔️ 5+ years of hands-on experience in AI/ML engineering or backend systems

✔️ Proven track record with LLMs & intelligent agents

✔️ Strong Python and backend expertise

✔️ Experience with vector databases (Pinecone, We aviate, FAISS)

✔️ Excellent communication & customer-facing skills

Preferred: Cloud (AWS/Azure/GCP), MLOps knowledge, and startup/AI services experience.

🌍 Remote role | High-impact opportunity | Backed by strong leadership & growth

If this sounds like you (or someone in your network), let’s connect!

Job Title: Front Desk & Security Executive (Male Candidates Only)

Location: Near Trinity Metro Station, Bangalore

Job Overview:

We are seeking a male Front Desk & Security Executive with 3+ years of experience to manage reception duties and ensure the security of our IT office. The role involves monitoring access, preventing unauthorized activities, and responding to security incidents.

Key Responsibilities:

Greet visitors and manage front desk tasks.

Monitor and control access to the office.

Prevent criminal activities and address safety threats.

Conduct body frisking to ensure compliance with security guidelines.

Respond promptly to security incidents.

Qualifications:

Male candidates only.

3+ years of experience in front desk or security roles.

Graduate of ROTC/CHDF/Criminology Course or equivalent (good to have).

Must be at least 162 cm in height, 120 lbs in weight, and a High School graduate.

Must be physically and mentally fit for security duties.

Must have completed Pre-Licensing Training Course/Basic Security Guard Course or be exempt.

Must be an Indian Citizen.

Good to have: Proficiency in Kannada, Hindi, and English.

Working Hours:

Full-time, Monday to Friday (Shifts may vary).

Interested candidates connect @Bhavani P on the LinkedIn or message your number/ id on the cut short chat.

Proposal coordination, bid management, requirement analysis, solution consulting, market research, proposal designing, and business development. 

Experience in working with telecom,

Responsible for driving end-to-end opportunities- RFP/RFI & Proactive for the telecom sector across Americas, Europe, and UK&I regions.

End to End-to-end bid Management, Preparing Techno-commercial responses for RFP/RFI, Business Intelligence, preparing proactive proposals, competitive commercial structure, and Strategic Initiatives.

Core competencies:

Proposal Coordination | Bid Management | Pursuit Management | Pre-sales | Account Based Marketing | Content Writing | Proposal Designing

Technical Skills:

Tools and Systems: MS PowerPoint, MS Word, MS Excel, MS

OneNote, and PowerBl

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

#LI-Remote

About the job

About Reflektive's Engineering Team

We are seeking a Senior Software Engineer, Front End to help scale Reflektive to being the market leader for employee performance management. The main question to be answered: Can you help a

company scale?

Reflektive has major initiatives to tackle in the next year. Initiatives range from internal scaling, security, engagement, new verticals, pervasive technologies, research and development, data and

analytics, and customer tools. Reflektive’s Senior Software Engineer will contribute in their area of specialization. S/he will help us solve complex design challenges and mature our platform to handle

increasing traffic and scale.

You'll join a lean, prolific team where everyone, including you, is active in the product-defining and development process (where deploying new features every 2 weeks is common). You'll know the

customers we're talking to, and the needs of each one. As a result, you know where your initiative and drive can best make a difference (and be recognized!)

Our engineering team consists of developers from a wide array of backgrounds. Our team primarily focuses on Rails and Javascript, but is always ready to use the best tool for the job when it makes

sense. Following Scrum practices, we work closely with the Product Management team to develop features that focus on empowering and developing employees. Our team is a tight knit, friendly

group of engineers that are dedicated to learning from and teaching to each other. Team members regularly contribute to and optimize our engineering practices and processes. Our team wants to

make software engineering fun, easy, and fulfilling, so we've come up with a set of values that we

apply to our software every day: Simple, Flexible, Consistent, Predictable, Efficient, and Pragmatic.

Responsibilities

● Depending on your specialization, projects/initiatives may include: Security, scaling distributed systems, working on our core services related to user management, building out new verticals, guiding new engagement features, scaling traffic/imports/exports,

and managing APIs.

● Work extremely cross-functionally across Engineering and Product Management.

● Deliverable: (30 days) Own a feature; possibly being paired with another engineer. (60days) Own and drive a new initiative. (90 days) Bring that initiative to production.

Desired Skills and Experience

• Expert proficiency in Java/Kotlin, Kafka/Pulsar, SQL, Docker and kubernetes.
• Overall 4+ years of experience as Java full stack developer using any modern frameworks.
• Strong knowledge on Data structure and Algorithm knowledge
• Previous experience working in ReactJS/AngularJS (2+ years)
• Knowledge of Analytics and LookerML would be added plus.
• Exposure to cloud environment AWS.
• Knowledge of unit testing frameworks including Junit.
• Startup experience is strongly desired.
• You learn quickly, you’re adaptable and versatile.
• Experience in an Agile and Scrum environment.

About Reflektive

Forward-thinking organizations use Reflektive’s people management platform to drive employee performance and development with Real-Time Feedback, Recognition, Check-Ins, Goal Management,

Performance Reviews, 1-on-1 Profiles, and Analytics. Reflektive’s more than 500 customers include Blue Origin, Comcast, Instacart, Dollar Shave Club, Healthgrades, Wavemaker Global, and Protective

Life. Backed by Andreessen Horowitz, Lightspeed Venture Partners, and TPG Growth, Reflektive has raised more than $100 million to date, and was ranked the 13th Fastest Growing Company in North

America on Deloitte’s 2018 Technology Fast 500TM.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status,

veteran status, or disability status.