Engineering Manager

JOB DETAILS:

* Job Title: Regional Sales Manager (Philippines)

* Industry: SAAS Industry

* Salary: Best in Industry

* Experience: 5 -10 years

* Location: Philippines

* Work Mode: WFH

* Working Day: 5

Required Skills: Data Analysis, Analytical thinking, Proficiency in CRM tools, Cross functional collaboration, Problem Solving & Decision Making

Criteria:

Need Native Philippines candidates ONLY.

1. Candidate must be from a B2B SaaS / Hospitality Tech (Hotel Tech) background.

2. Candidate must have 5–10 years of relevant sales experience in SaaS or hospitality technology.

3. Candidate must have strong team management experience, handling BDMs and Telesales teams.

4. Candidate must have proven ownership of regional revenue targets, pipeline management, and MRR growth.

5. Candidate must have strong knowledge of the Philippines hospitality market and enterprise hotel sales.

6. Candidate should be proficient in Filipino and English (mandatory).

7. Candidate should be open to frequent travel across regions.

8. Candidate must be good with numbers, including revenue analysis, forecasting, pipeline metrics, and target tracking.

9. Candidate must have hands-on experience with CRM tools; HubSpot experience is strongly preferred.

Description

About the Role: -

We are seeking a high-performing Regional Sales Manager (RSM) to lead and scale our sales operations in Philippines.

This role is responsible for driving revenue growth, expanding market presence, managing sales teams, and ensuring customer success within the hospitality sector.

Key Responsibilities: -

1. Sales Leadership & Team Management

• Lead and manage BDMs and Telesales teams
• Ensure achievement of 100%+ monthly and quarterly targets
• Conduct weekly coaching, reviews, and performance tracking
• Oversee hiring, onboarding, and training
• Ensure 100% CRM (HubSpot) compliance

2. Revenue & Target Achievement

• Deliver regional targets across new properties, licenses, and LTV
• Drive growth in ARPA and MRR
• Maintain a 3× healthy sales pipeline

3. Customer Retention & Account Growth

• Minimize churn and maximize customer satisfaction
• Build strong relationships with hotel owners, GMs, and key decision-makers
• Collaborate with Implementation & Support teams for seamless onboarding

4. Market Expansion & Enterprise Sales

• Expand YCS presence across key regions in Philippines.
• Close enterprise and multi-property hotel group deals (5+ properties)
• Build partnerships with hotel associations and tourism bodies
• Lead events, webinars, and roadshows

5. Internal Collaboration & Operations

• Provide accurate weekly and monthly sales forecasts
• Share market insights with Product, Marketing, and Support teams
• Ensure timely reporting and compliance with internal processes.
•  

Key Competencies: -

• Sales Leadership & Team Management – Ability to lead, coach, and drive a high-performing sales team to exceed targets.
• Strategic Pipeline & Revenue Execution-– Strong skills in pipeline management, forecasting, and delivering consistent revenue growth.
• SaaS & Hospitality Market Expertise - Deep understanding of SaaS sales and the Philippines a hospitality ecosystem.
• Enterprise Sales & Negotiation – Proven capability to close multi-property deals and handle complex negotiations
• Customer Retention & Relationship Management– Strong focus on reducing churn and building long-term partnerships with key decision-makers.
•  

Key Requirements: -

• 5–10 years of experience in SaaS, B2B, or Hospitality Tech sales
• Proven experience in managing sales teams and exceeding targets
• Strong understanding of the Philippines hospitality market
• Excellent communication and negotiation skills
• Hands-on experience with CRM tools (HubSpot preferred)
• Willingness to travel across regions as required

ROLE & RESPONSIBILITIES:

We are hiring a Senior DevSecOps / Security Engineer with 8+ years of experience securing AWS cloud, on-prem infrastructure, DevOps platforms, MLOps environments, CI/CD pipelines, container orchestration, and data/ML platforms. This role is responsible for creating and maintaining a unified security posture across all systems used by DevOps and MLOps teams — including AWS, Kubernetes, EMR, MWAA, Spark, Docker, GitOps, observability tools, and network infrastructure.

KEY RESPONSIBILITIES:

1.     Cloud Security (AWS)-

• Secure all AWS resources consumed by DevOps/MLOps/Data Science: EC2, EKS, ECS, EMR, MWAA, S3, RDS, Redshift, Lambda, CloudFront, Glue, Athena, Kinesis, Transit Gateway, VPC Peering.
• Implement IAM least privilege, SCPs, KMS, Secrets Manager, SSO & identity governance.
• Configure AWS-native security: WAF, Shield, GuardDuty, Inspector, Macie, CloudTrail, Config, Security Hub.
• Harden VPC architecture, subnets, routing, SG/NACLs, multi-account environments.
• Ensure encryption of data at rest/in transit across all cloud services.

2.     DevOps Security (IaC, CI/CD, Kubernetes, Linux)-

Infrastructure as Code & Automation Security:

• Secure Terraform, CloudFormation, Ansible with policy-as-code (OPA, Checkov, tfsec).
• Enforce misconfiguration scanning and automated remediation.

CI/CD Security:

• Secure Jenkins, GitHub, GitLab pipelines with SAST, DAST, SCA, secrets scanning, image scanning.
• Implement secure build, artifact signing, and deployment workflows.

Containers & Kubernetes:

• Harden Docker images, private registries, runtime policies.
• Enforce EKS security: RBAC, IRSA, PSP/PSS, network policies, runtime monitoring.
• Apply CIS Benchmarks for Kubernetes and Linux.

Monitoring & Reliability:

• Secure observability stack: Grafana, CloudWatch, logging, alerting, anomaly detection.
• Ensure audit logging across cloud/platform layers.

3.     MLOps Security (Airflow, EMR, Spark, Data Platforms, ML Pipelines)-

Pipeline & Workflow Security:

• Secure Airflow/MWAA connections, secrets, DAGs, execution environments.
• Harden EMR, Spark jobs, Glue jobs, IAM roles, S3 buckets, encryption, and access policies.

ML Platform Security:

• Secure Jupyter/JupyterHub environments, containerized ML workspaces, and experiment tracking systems.
• Control model access, artifact protection, model registry security, and ML metadata integrity.

Data Security:

• Secure ETL/ML data flows across S3, Redshift, RDS, Glue, Kinesis.
• Enforce data versioning security, lineage tracking, PII protection, and access governance.

ML Observability:

• Implement drift detection (data drift/model drift), feature monitoring, audit logging.
• Integrate ML monitoring with Grafana/Prometheus/CloudWatch.

4.     Network & Endpoint Security-

• Manage firewall policies, VPN, IDS/IPS, endpoint protection, secure LAN/WAN, Zero Trust principles.
• Conduct vulnerability assessments, penetration test coordination, and network segmentation.
• Secure remote workforce connectivity and internal office networks.

5.     Threat Detection, Incident Response & Compliance-

• Centralize log management (CloudWatch, OpenSearch/ELK, SIEM).
• Build security alerts, automated threat detection, and incident workflows.
• Lead incident containment, forensics, RCA, and remediation.
• Ensure compliance with ISO 27001, SOC 2, GDPR, HIPAA (as applicable).
• Maintain security policies, procedures, RRPs (Runbooks), and audits.

IDEAL CANDIDATE:

• 8+ years in DevSecOps, Cloud Security, Platform Security, or equivalent.
• Proven ability securing AWS cloud ecosystems (IAM, EKS, EMR, MWAA, VPC, WAF, GuardDuty, KMS, Inspector, Macie).
• Strong hands-on experience with Docker, Kubernetes (EKS), CI/CD tools, and Infrastructure-as-Code.
• Experience securing ML platforms, data pipelines, and MLOps systems (Airflow/MWAA, Spark/EMR).
• Strong Linux security (CIS hardening, auditing, intrusion detection).
• Proficiency in Python, Bash, and automation/scripting.
• Excellent knowledge of SIEM, observability, threat detection, monitoring systems.
• Understanding of microservices, API security, serverless security.
• Strong understanding of vulnerability management, penetration testing practices, and remediation plans.

EDUCATION:

• Master’s degree in Cybersecurity, Computer Science, Information Technology, or related field.
• Relevant certifications (AWS Security Specialty, CISSP, CEH, CKA/CKS) are a plus.

PERKS, BENEFITS AND WORK CULTURE:

• Competitive Salary Package
• Generous Leave Policy
• Flexible Working Hours
• Performance-Based Bonuses
• Health Care Benefits

Mandatory Pointers (Can't be neglected during screening)- 

● At least 3-5 years of experience in managing Facebook Ads campaigns.

● Strong knowledge of digital marketing principles and best practices

● Core experience with companies of a Digital-first nature.

● Must have experience with D2C companies.

● Must have scaled budgets and campaigns efficiently over time.

● Proficiency in Facebook Ads and Instagram Ads platforms

● Experience in optimizing campaigns for lead generation and conversions

● Familiarity with campaign budget management

● Excellent analytical and problem-solving skills

● Ability to work effectively in a team environment and manage a team of 5-6 people

● Strong communication and presentation skills

● Facebook Ads certifications are a plus.

Be a part of the growth story of a rapidly growing organization in AI. We are seeking a passionate Machine Learning (ML) Engineer, with a strong background in developing and deploying state-of-the-art models on Cloud. You will participate in the complete cycle of building machine learning models from conceptualization of ideas, data preparation, feature selection, training, evaluation, and productionization.

On a typical day, you might build data pipelines, develop a new machine learning algorithm, train a new model or deploy the trained model on the cloud. You will have a high degree of autonomy, ownership, and influence over your work, machine learning organizations' evolution, and the direction of the company.

• Bachelor's degree in computer science/electrical engineering or equivalent practical experience
• 7+ years of Industry experience in Data Science, ML/AI projects. Experience in productionizing machine learning in the industry setting
• Strong grasp of statistical machine learning, linear algebra, deep learning, and computer vision
• 3+ years experience with one or more general-purpose programming languages including but not limited to: R, Python.
• Experience with PyTorch or TensorFlow or other ML Frameworks.
• Experience in using Cloud services such as AWS, GCP, Azure. Understand the principles of developing cloud-native application development

• Design and implement ML components, systems and tools to automate and enable our various AI industry solutions
• Apply research methodologies to identify the machine learning models to solve a business problem and deploy the model at scale.
• Own the ML pipeline from data collection, through the prototype development to production.
• Develop high-performance, scalable, and maintainable inference services that communicate with the rest of our tech stack

Inside Sales Associate Responsibilities:

• Persuade prospective clients to engage in a phone conversation and/or meeting to discuss our insurance product.
• Connect with prospects over a call (min of 45 calls to be connected each day)
• Advise clients on the insurance policies that best suit their needs
• Customize insurance programs to suit individual clients
• Deliver approved policies to new clients and explain benefits of the policy
• Issue quotes, maintain client records and prepare reports
• Keep abreast of industry and market trends and best practices
• Scout and identify potential clients with need for insurance coverage
• Contact potential customers through calls, emails and arranged meetings
• Provide elaborate explanation of contract features, benefits, and possible downsides to an insurance coverage (as per market perspective).
• Ensure company policies and procedures are maintained when conducting the sales of insurance services
• Discuss with clients to obtain information in order to provide Quotation.
• Facilitate the payment and handover to post sales team.

Requirements:

• SME’s in corporate sales with minimum of 90% sales target achievement rate each month.
• Minimum of 4-5 hours of calling per day required.
• Corporate Sales experience with Tier 1 organisation contributing to the monthly targets
• Connect with prospects over a call (min of 45 calls to be connected each day)
• Previous working experience in Insurance.
• Excellent communication and presentation skills
• Resilient spirit and a persistent nature
• Impeccable interpersonal skills and friendly attitude
• Well organized with time, excellent time management abilities
• Should be a graduate.